Relevant bibliographies by topics / Signal synthesi

Academic literature on the topic 'Signal synthesi'

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Published: 14 March 2023

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Journal articles on the topic "Signal synthesi"

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Yoga, I. Putu Harta, and Gst Ayu Vida Mastrika Giri, S.Kom., M.Cs. "Virtual Hybrid Synthesizer Application." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 3 (January 27, 2020): 357. http://dx.doi.org/10.24843/jlk.2020.v08.i03.p19.

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Hybrid synthesizers can be syntheses with digital or analog signals on a hardware device. In this article hybrid means make a virtual digital synthesis which combines several synthesis methods. The method used is the synthesis method of additive, substractive, and amplitude modulation (AM). Where the initial signal is an oscillator by making waves with the form Sinusoide Wave, Square Wave and Saw Tooth Wave. This virtual synthesis produces sound that has the same fundamental frequency as the fundamental frequency of notes. Keywords: Hibrid Synthesizer, Additive, Substractive, Amplitude Modulation
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Zamula, A. A., I. D. Gorbenko, and Ho Tri Luc. "Statistical properties of derived signal systems." Radiotekhnika, no. 203 (December 23, 2020): 141–47. http://dx.doi.org/10.30837/rt.2020.4.203.14.

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The search for effective methods of synthesis of discrete signals (sequences) that correspond to the potentially possible limiting characteristics of correlation functions and possess the necessary correlation, structural, ensemble properties remains an urgent problem. The authors have proposed a method for the synthesis of derivatives of signal systems, for which orthogonal signals are used as the initial ones, and nonlinear discrete complex cryptographic signals (CS) are used as generating signals. The synthesis of the latter ones is based on the use of random (pseudo-random) processes, including algorithms for cryptographic information transformation. Derivative signals synthesized in this way have improved (in comparison with linear signal classes) ensemble and correlation properties, while the statistical properties of such signal systems remain unexplored. The paper presents the results of testing derived signal systems using the tests defined in FIPS PUB 140 and NIST 800-22. Analysis of the results obtained allows us to assert that the statistical properties of this class of derived signals satisfy the requirements for pseudo-random sequences: unpredictability, irreversibility, randomness, independence of symbols, etc. In essence, such signals do not differ from random sequences. The use of the proposed class of derived signals will improve the performance of signal reception noise immunity, information security and secrecy of the ICS functioning.
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Khrapov, S. D., and A. V. Strukova. "Synthesis of optimal transmitter signal, providing the maximum noise immunity of the equipment of aviation and space radio systems under the influence of a complex of noise." Informacionno-technologicheskij vestnik, no. 2 (July 30, 2019): 72–78. http://dx.doi.org/10.21499/2409-1650-2019-2-72-78.

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The questions related to the synthesis of the optimal signal of the transmitter providing the maximum mechanical stability of the equipment of aerospace radio systems under the influence of a complex of noise are considered and analyzed. The problem of finding the optimal signal for detection in non-Gaussian interference is considered. The criteria for the selection of signals and the conditions imposed on them are analyzed. Considered variational principles of synthesis signals. Examples of solving problems of synthesis of transmitted signals are given.
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Rogozinsky, G., M. Chesnokov, and A. Kutlyiarova. "Some New Mathematical Models of Synthesized Sound Signals." Proceedings of Telecommunication Universities 8, no. 2 (June 30, 2022): 76–81. http://dx.doi.org/10.31854/1813-324x-2022-8-2-76-81.

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Modern sound synthesis systems make it possible to implement various signal generation algorithms of higher complexity. The theory of sound synthesis actively uses the mathematical apparatus of analog and digital radio engineering and signal processing, however, it should be noted that the classical signal models used in acoustics are not adequate to real-world synthesized signals, mainly due to the significant complexity of the latter. This article presents some models of synthesized signals typical for practical use.
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Zhang, Xian Yi, Jian Xu, Xiang Quan Guo, Yan Ting Lan, and Jia Yan Tao. "A Signal Generator Based on AD9850." Advanced Materials Research 712-715 (June 2013): 1767–70. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1767.

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This paper analyzes the advantages of the direct digital frequency synthesis (DDS) in signal generator applications, introduces the basic principles and characteristics of AD9850, a cost-effective chip, shows the overall scheme of a signal source design based on DDS and implements the hardware system. Experimental results show the signal generator can produce sine wave signals scoping from 100Hz to 5MHz, clock signals and triangular wave signals and can display frequency on the LCD.
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Kol'tso, N. E., S. A. Grenkov, and L. V. Fedotov. "Comparison of Radio Interferometers with Analog and Digital Extraction of Recorded Signal." Journal of the Russian Universities. Radioelectronics 23, no. 2 (April 28, 2020): 6–18. http://dx.doi.org/10.32603/1993-8985-2020-23-2-6-18.

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Introduction. Radio telescopes of Very Long Baseline Interferometry (VLBI) networks usually record several signals with relatively narrow (up to 32 MHz) bands, which are extracted by means of base band converters (BBC) from an analog noise signal of an intermediate frequency (IF) with bands up to 1 GHz. When processing data, frequency band synthesis is used. At new small radio telescopes (for example, RT-13), directly wideband IF signals are digitized. An ability to connect the RT-13 radio telescope to the “Quasar” VLBI complex and to international VLBI networks provides by a digital narrow-band signal extraction module developed in 2019.Aim. Determining the measuring accuracy of an interferometric group delay of a signal by a radio interferometer with a digital narrow-band signal extraction module and comparing the sensitivity of interferometers with analog and digital signal extraction systems.Materials and methods. Sensitivity losses of interferometers with different systems for detecting recorded signals were calculated. The accuracy of a multi-channel interferometer with the synthesis of a frequency band and of an interferometer with recording of digital broadband IF signals without band synthesis was compared. The results were confirmed by VLBI observations in the observatories of the “Quasar” complex.Results. When replacing the analog system of signal extraction with digital system the sensitivity losses of the interferometer were slightly reduced. The measurement accuracy of the interferometric group delay had not changed. Accuracy increased when digitally recording broadband IF signals and when synthesizing a frequency band significantly larger than the IF bandwidth. Conditions and minimum synthesized bands were determined under which the accuracy of the interferometer with the registration of narrowband signals can be higher than the accuracy of the interferometer with the registration of wideband IF signals.Conclusion. The problem of combining RT-13 radio telescopes with VLBI networks with recording of video frequency signals was solved. The efficiency of the installation of digital signal conversion systems at radio telescopes was shown.
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Dolinský, Pavol, Imrich Andráš, Linus Michaeli, and Domenico Grimaldi. "MODEL FOR GENERATING SIMPLE SYNTHETIC ECG SIGNALS." Acta Electrotechnica et Informatica 18, no. 3 (September 27, 2018): 3–8. http://dx.doi.org/10.15546/aeei-2018-0019.

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Plaksienko, V. S. "Linear-logical decision-making algorithm for signal processing." Vestnik of Don State Technical University 18, no. 4 (January 9, 2019): 385–91. http://dx.doi.org/10.23947/1992-5980-2018-18-4-385-391.

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Introduction. Heuristic synthesis is used to improve the efficiency of reception and processing of discrete signals under aprior information pressure. The analysis of the decisionmaking algorithm for the linear-logical processing of discrete signals in case of the incomplete aprior data on their parameters is presented. The work objective is to develop and analyze the efficiency of the linear-logical algorithms.Materials and Methods. New mathematical algorithms for the signal reception and processing, effective under conditions of a priori uncertainty, are proposed. They are based on the consideration of the structure of emissions and process exceedance in the signal processing channels.Research Results. Linear-logical algorithms for processing discrete signals are developed. They are based on the consideration of one, two and more detailed characteristics of emissions or exceedance of random processes.Discussion and Conclusion. The results obtained can be useful in the synthesis of algorithms and devices for the signal reception and processing. Algorithms and devices are implemented both in an analog form and in the form of algorithms for computers. The simulation programs for the signal processing under conditions of the considerable uncertainty of aprior information on the signals and the channels of their distribution are developed.
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Gorbenko, Ivan, and Oleksandr Zamula. "Devising methods to synthesize discrete complex signals with required properties for application in modern information and communication systems." Eastern-European Journal of Enterprise Technologies 3, no. 9(111) (June 30, 2021): 16–26. http://dx.doi.org/10.15587/1729-4061.2021.234674.

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Information and communication systems (ICSs) must comply with increasingly stringent requirements to ensure the reliability and speed of information transmission, noise immunity, information security. This paper reports the methods to synthesize discrete complex cryptographic signals, underlying the construction of which are random (pseudo-random) processes; the methods for synthesizing characteristic discrete complex signals whose construction is based on using the nature of the multiplicative group of a finite field; the results of studying the properties of the specified signal systems. It is shown that the methods built provide a higher synthesis performance than known methods and make it possible to algorithmize the synthesis processes for the construction of software and hardware devices to form such signals. The win in the time when synthesizing nonlinear signals in finite fields using the devised method is, compared to the known method, for the period of 9,972 elements is 1,039.6 times. The proposed method for synthesizing the entire system of such signals, based on decimation operation, outperforms the known method of difference sets in performance. Thus, for a signal period of 2,380 elements, the win in time exceeds 28 times. It has also been shown that the application of such systems of complex signals could improve the efficiency indicators of modern ICSs. Thus, the imitation resistance of the system, when using complex discrete cryptographic signals with a signal period of 1,023 elements, is four orders of magnitude higher than when applying the linear signal classes (for example, M-sequences). For a signal period of 1,023 elements, the win (in terms of structural secrecy) when using the signal systems reported in this work exceeds 300 times at a period of 8,192, compared to the signals of the linear form (M-sequences)
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Zamula, Alexander, and Ivan Gorbenko. "Optimization for the quick-code methods for the synthesis of discrete signals – physical carriers of data in information-communication systems." Physico-mathematical modelling and informational technologies, no. 32 (July 8, 2021): 126–30. http://dx.doi.org/10.15407/fmmit2021.32.126.

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The paper presents the theoretical foundations of synthesis and analysis of complex nonlinear discrete cryptographic signals, the basis for the synthesis of which are random (pseudo-random) processes, including algorithms for cryptographic transformation of information, as well as methods for optimizing the synthesis of these signals using decimation and discrete programming. namely, the method of branches and boundaries. In order to improve the performance of signal generation and processing, estimates of the effectiveness of the decimation procedure are proposed and presented. It is shown that the use of the studied signal systems will improve the efficiency of modern ICS (speed of data generation and processing devices, noise immunity, information security, secrecy, protection against input (imposition) of false messages, message falsification, data integrity, etc.).
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Dissertations / Theses on the topic "Signal synthesi"

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FONTANA, Federico. "Physics-based models for the acoustic representation of space in virtual environments." Doctoral thesis, Università degli Studi di Verona, 2003. http://hdl.handle.net/11562/342240.

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In questo lavoro sono state affrontate alcune questioni inserite nel tema più generale della rappresentazione di scene e ambienti virtuali in contesti d’interazione uomo-macchina, nei quali la modalità acustica costituisca parte integrante o prevalente dell’informazione complessiva trasmessa dalla macchina all’utilizzatore attraverso un’interfaccia personale multimodale oppure monomodale acustica. Più precisamente è stato preso in esame il problema di come presentare il messaggio audio, in modo tale che lo stesso messaggio fornisca all’utilizzatore un’informazione quanto più precisa e utilizzabile relativamente al contesto rappresentato. Il fine di tutto ciò è riuscire a integrare all’interno di uno scenario virtuale almeno parte dell’informazione acustica che lo stesso utilizzatore, in un contesto stavolta reale, normalmente utilizza per trarre esperienza dal mondo circostante nel suo complesso. Ciò è importante soprattutto quando il focus dell’attenzione, che tipicamente impegna il canale visivo quasi completamente, è volto a un compito specifico.
This work deals with the simulation of virtual acoustic spaces using physics-based models. The acoustic space is what we perceive about space using our auditory system. The physical nature of the models means that they will present spatial attributes (such as, for example, shape and size) as a salient feature of their structure, in a way that space will be directly represented and manipulated by means of them.
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ATZORI, ALESSIO. "Extraction of vocal features for health assessment and early diagnosis - Effects of measurement uncertainty on classification algorithms." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2972104.

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Bishop, Martin J. "Optical mapping signal synthesis." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:b92096e6-7518-4150-bd02-67d5e8645881.

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Although death due to lethal cardiac arrhythmias is the leading cause of mortality in Western Society, many of the fundamental mechanisms underlying their onset, maintenance and termination, still remain poorly understood. In recent years, experimental techniques such as optical mapping have provided useful high-resolution recordings of cardiac electrical dynamics during complex arrhythmias and defibrillation episodes, which have been combined with detailed computer simulations to further our understanding of these phenomena. However, mechanistic enquiry is severely restricted as the optical mapping technique suffers from a number of distortion effects which compromise the fidelity of the experimental measurements, presenting difficulties in the comparison of experimental data with computational simulations. This Thesis presents a thorough investigation into the distortion effects encountered in optical mapping experiments, guided by the development of a coherent series of computational models. The models presented successfully characterise the specific mechanisms of fluorescent signal distortion due to photon scattering. Photon transport in cardiac tissue is modelled using both continuous (reaction-diffusion) and discrete stochastic (Monte Carlo) approaches to simulate the effects of photon scattering within the myocardium upon the recorded fluorescent signal, which include differing levels of detail and associated computational complexity. Specifically, these models are used to investigate the important role played by the complex ventricular structural anatomy, as well as the specifics of the experimental set-up itself. In addition, a tightly coupled electromechanical model of a contracting cardiac fibre is developed which provides an important first-step towards the development of a model to quantitatively assess the distortion observed when recording from a freely contracting cardiac preparation. Simulation of these distortion effects using the models allows discrimination to be made between those parts of the experimental signal which are due to underlying tissue electrophysiology and those due to artifact, facilitating a more accurate interpretation of experimentally-obtained data. The models presented succeed in two main respects. Firstly, they provide a ‘post-processing’ tool which can be added on to computational simulations of electrical activation, allowing for a more accurate and faithful comparison between simulations and experiments, helping to validate predictions made by electrical models. Secondly, they provide a higher degree of mechanistic insight into the fundemental ways in which optical signals are distorted, showing how this distortion can be maximised or controlled. The understanding and quantification of the fundemental mechanisms of optical mapping signal distortion, provided by this Thesis, therefore fulfils an important role in the study of arrhythmia mechanisms.
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Wu, David S. "Optical frequency comb locked signal synthesis." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/375133/.

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Highly stable optical frequency combs (OFCs), particularly those generated by modelocked lasers, have become important tools for frequency and time metrology, and spectroscopy. This is due to their ability to span wide bandwidths, to act as highly accurate frequency references, and to provide a direct link between the optical and radio frequencies. However, the narrow comb spacing of most mode-locked OFCs makes it difficult to access their individual modes for a wide range of other potential applications. This thesis investigates comb mode extraction from a 250 MHz spaced OFC by phase locking semiconductor lasers (slave lasers) to individual comb modes. This was achieved using optical injection locking in combination with a low bandwidth electronic feedback loop. The locking process forced a slave laser to emit at the same frequency as the comb mode it was locked to, but at its natural output power. Hence a locked slave laser effectively behaved as a ultra-narrowband filter with active gain. The locking process was characterised in terms of its long-term frequency stability over a period of 8 hours (minimum Allan deviation of less than 10-18) and its short term phase noise across a bandwidth from 100 Hz to 500 MHz (minimum integrated phase noise of 0.02 rad2). Amplification of the residual comb modes was measured and found to have a dependence on the master-slave frequency detuning. The results from numerical modelling found that this was due to phase modulation induced in the slave laser by the injected OFC and could always be suppressed by controlling the frequency detuning. Fourier synthesis of high repetition rate waveforms was explored as one of the potential applications of this phase locking technique. Multiple lasers were made coherent with one another by locking them to different modes of a common OFC. This enabled them to behave as different frequency components of a Fourier series to generate various waveforms. This was achieved by independently controlling the relative amplitude and phase of each slave laser, and combining them together. The generation of stable waveforms with at-top, triangular, parabolic, and sawtooth intensity profiles was demonstrated at a repetition rate of 100 GHz.
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Ko, Ming-Yung. "Integrated software synthesis for signal processing applications." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3459.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.
Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Liebgott, Hervé Delachartre Philippe Vray Didier Wilhjelm Jens E. "Synthèse de réponse impulsionnelle en imagerie ultrasonore pour l'estimation vectorielle du déplacement mpulse response synthesis in ultrasound imaging for vectorial displacement estimation /." Villeurbanne : Doc'INSA, 2006. http://docinsa.insa-lyon.fr/these/pont.php?id=liebgott.

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Kornienko, Alexander. "Practical enantiospecific syntheses of differentially protected cyclitols and partial synthesis of a non-Hydrolyzable Phosphooligosaccharide analog related to insulin signal transduction /." Thesis, Connect to Dissertations & Theses @ Tufts University, 1999.

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Thesis (Ph.D.)--Tufts University, 1999.
Adviser: Marc d'Alarcao. Submitted to the Dept. of Chemistry. Includes bibliographical references (leaves 123-128). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
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Rubens, Jacob Rosenblum. "Synthetic biological circuits for continuous signal processing." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105566.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 169-182).
Natural organisms evolved gene networks that measure continuous environmental information and adjust gene expression to maximize fitness. Engineered cells will need to be capable of similar signal processing and computation in order to operate efficaciously in complex environments, like the human body. In this thesis I describe the development of synthetic biological circuits that enable such capabilities. In the first chapter, analog gene networks are engineered to measure the concentration of molecules and to perform mathematical operations such as addition and division. Building on this work, analog gene networks are next engineered to compensate for input-sensor circuit crosstalk. Finally, in the third chapter, analog-to-digital converters are introduced to convert signals from analog gene circuits into discrete regimes of gene expression. This mixed-signal approach merges the benefits of analog signal processing and of digital signal integration to enable robust continuous signal processing. I posit that the computational architecture demonstrated herein will enable novel applications for the field of synthetic biology.
by Jacob Rosenblum Rubens.
Ph. D.
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Shoalehvar, Amin. "Synthetic Aperture Radar (SAR) Raw Signal Simulation." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/755.

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Abstract Synthetic Aperture Radar (SAR) Raw Signal Simulation Author: Amin Shoalehvar Synthetic aperture radar (SAR) raw signal simulation is a useful tool for SAR system design, mission planning, processing algorithm testing, and inversion algorithm design. This thesis explores a SAR raw signal simulation. The raw signal simulation is the simulated received signal before any processing with exception of the down-converter. The simulation plays a significant role in studies concerning noise and clutter rejection and contributes toward optimizing SAR system parameters. To simulate SAR raw data, a Chirp Scaling (CS) method is used. This method [3] first stretches the input surface reflectivity of the target in the azimuth and range direction respectively. Then it derives the raw data by inverse equalizing the signal based on CS principle. This method avoids the time-domain integral operation and improves the computational efficiency. A simulation diagram, calculation and systematic process are proposed in this thesis. Finally, simulation results are presented to verify the accuracy of calculations and the efficiency of the process.
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Ramamoorthy, Divya. "Synthesis of small molecule inhibitors targeting signal transduction pathways." Scholar Commons, 2009. http://scholarcommons.usf.edu/etd/2160.

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The main aim of the study described in this thesis is the development of small molecules as inhibitors targeting signal transduction pathways, thereby treating cancer. We attempted to synthesize compounds based on the hits obtained from high throughput screening of the Chemdiv diversity set compounds. Chapter One is a general introduction to cancer, history of chemotherapeutic drugs and an introduction to signal transduction pathways. The following two chapters briefly introduce the biological targets in the authors study. Chapter Two describes the role of B-cell lymphoma type xL (Bcl-xL), in apoptosis and the development of drugs targeting Bcl-xL. Examples of Bcl-xL drugs relevant to this study have been provided. Chapter Three introduces Src homology 2 (SH2) domain containing tyrosine phosphatase Shp2, a protein tyrosine phosphatase, as an oncogene, its role in signal transduction pathways and the recent developments in drug development towards the inhibition of this oncogene. Chapter Four gives a general introduction to microwave-assisted organic synthesis and its advantages. This chapter also describes the use of flow reactors in organic synthesis and its advantages. The following two chapters describe the author's own findings. Chapter Five focuses on the design, synthesis and biological evaluation of small molecules as inhibitors of Bcl-xL. Isoquinolinols, NSC-131734 and HL2-100 emerged as lead compounds from high throughput screening for Bcl-xL. Our strategy focused on identifying an isoquinolinol lead with increased potency. Based on isatin hits obtained earlier through HTS screen and SAR studies in our lab, more isatin derivatives were synthesized focusing on developing inhibitors with increased cell permeability and improved potency.
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Books on the topic "Signal synthesi"

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Stanisic, Balsha R. Synthesis of Power Distribution to Manage Signal Integrity in Mixed-Signal ICs. Boston, MA: Springer US, 1996.

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Stanisic, Balsha R., Rob A. Rutenbar, and L. Richard Carley. Synthesis of Power Distribution to Manage Signal Integrity in Mixed-Signal ICs. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1399-1.

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1957-, Rutenbar Rob A., and Carley L. Richard, eds. Synthesis of power distribution to manage signal integrity in mixed-signal ICs. Boston: Kluwer Academic, 1996.

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Popa, Cosmin Radu. Synthesis of Computational Structures for Analog Signal Processing. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0403-3.

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Synthesis of computational structures for analog signal processing. New York: Springer, 2011.

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Brian, Wolshon P., Lambert Laurence, and National Cooperative Highway Research Program., eds. Convertible roadways and lanes: A synthesis of highway practice. Washington, D.C: Transportation Research Board, National Research Council, 2004.

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S, Goodman Ron, and Majewski Ronald M, eds. Spotlight synthetic aperture radar: Signal processing algorithms. Boston: Artech House, 1995.

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C, Munson David, IEEE Educational Activities Board, and IEEE Signal Processing Society, eds. Synthetic aperture radar: A signal processing viewpoint. New York: IEEE, 1990.

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Curlander, John C. Synthetic aperture radar: Systems and signal processing. New York: Wiley, 1991.

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1956-, Kleijn W. B., and Paliwal K. K, eds. Speech coding and synthesis. Amsterdam: Elsevier, 1995.

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Book chapters on the topic "Signal synthesi"

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Yarlagadda, R. K. Rao, and John E. Hershey. "Signal Representation." In Hadamard Matrix Analysis and Synthesis, 95–101. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6313-6_20.

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Owens, F. J. "Speech Synthesis." In Signal Processing of Speech, 88–121. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-22599-6_5.

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Tarr, Eric. "Introduction to Signal Synthesis." In Hack Audio, 79–101. New York, NY : Routledge, 2019. | Series: Audio Engineering Society presents: Routledge, 2018. http://dx.doi.org/10.4324/9781351018463-7.

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Bucy, R. S. "Device Synthesis." In Signal Processing and Digital Filtering, 133–43. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4613-8392-5_13.

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Uncini, Aurelio. "Sound Synthesis." In Springer Topics in Signal Processing, 565–608. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14228-4_8.

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Goodwin, Michael M. "Signal Models and Analysis-Synthesis." In Adaptive Signal Models, 1–28. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4419-8628-3_1.

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Dutoit, Thierry, and Baris Bozkurt. "Speech Synthesis." In Handbook of Signal Processing in Acoustics, 557–85. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-30441-0_30.

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Rybin, Yuriy K. "Synthesis of Mathematical Models for Measuring Signals." In Measuring Signal Generators, 11–100. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02833-0_2.

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Desai, Mehul, and Peter Aronhime. "Current-Mode Synthesis Using Node Expansion Techniques." In Analog Signal Processing, 79–87. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-4503-0_7.

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Lin, Hai, and Panos J. Antsaklis. "Formal Synthesis." In Advanced Textbooks in Control and Signal Processing, 315–400. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78731-8_6.

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Conference papers on the topic "Signal synthesi"

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Kim, Wooshik, and Monson H. Hayes. "Phase Retrieval Using Two Fourier Intensities." In Signal Recovery and Synthesis. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/srs.1989.fb2.

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The two-dimensional discrete phase-retrieval problem is concerned with the reconstruction of a signal, or image, x(m, n), from the magnitude (intensity) of its Fourier transform, |X(ω1,ω2)|- Phase retrieval is an important problem that arises in a variety of different applications including x-ray crystallography, astronomy, electron microscopy, optics, and signal processing [1-5]. There are three issues that need to be considered in the solution of the phase retrieval problem: the uniqueness of the solution, the development of phase retrieval algorithms that reconstruct a signal from its Fourier transform intensity and any á priori information that might be available, and the sensitivity of the reconstruction to computational noise and measurements errors. It is now well known that if a two-dimensional signal with finite support has a z-transform that is an irreducible polynomial then the signal is uniquely defined to within a trivial ambiguity by the intensity of its Fourier transform [6]. This result becomes important with the fact that it has been shown that “almost all” discrete two-dimensional signals with finite support have z-transforms that are irreducible [7]. In spite of this uniqueness of the solution, however, the reconstruction of a signal from its Fourier intensity remains a difficult problem.
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2

Blundell, V., T. Clarke, and D. Williams. "Synthetic signals for signal processing." In Sensor Signal Processing for Defence (SSPD 2010). IET, 2010. http://dx.doi.org/10.1049/ic.2010.0229.

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3

Hou, Chin-Che, and Min-Chun Pan. "Feature Extraction Based on Teager-Kaiser Energy Operation and Envelope Spectra for Fault Detection of a Reciprocating Compressor." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24550.

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Abstract In this paper, signal analysis techniques based on Teager-Kaiser energy operation and envelope spectra for fault detection of the discharge valve of a reciprocating compressor is proposed. The method can accurately identify the existing fault of vibration signal features that it simulated by the synthetic signals. A two-phase study was designed to explore the signals simulation and the experimental validation. Signals simulation, which is based on the operation of a reciprocating compressor, and experiment design, which uses three conditions. The first stage is to simulate the operation of the reciprocating compressor, which is to simulate a synthetic signal for the cycle and impact. The synthetic signal is composed of a noise, square wave, and pulse wave. In this study, the synthetic signal is signal-processed by the Teager-Kaiser energy operator and the envelope spectrum that they can effectively extract feature signal and the noise almost is eliminated. The second stage is applied to the signal processing technique proposed in the first stage. Experimental verification of experiment design by the different operating conditions of reciprocating compressor valves. Through the above analysis technology, it is proved that the synthetic signal can be eliminated the background noise to obtain the feature signal. The feasibility of the proposed approach is verified by simulation results, the experiment is to validate with the measurement signals from a six-cylinder reciprocating compressor under different valve conditions. Simulations and experimental results support the proposed technology positively.
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Borguet, S., O. Léonard, and P. Dewallef. "Analysis Versus Synthesis for Trending of Gas-Path Measurement Time Series." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26029.

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Gas-path measurements used to assess the health condition of an engine are corrupted by noise. Generally, a data cleaning step occurs before proceeding with fault detection and isolation. Classical linear filters such as the exponentially weighted moving average filter are traditionally used for noise removal. Unfortunately, these low-pass filters distort trend shifts indicative of faults, which increases the detection delay. The present paper investigates two new approaches to non-linear filtering of time series. On one hand, the synthesis approach reconstructs the signal as a combination of elementary signals chosen from a pre-defined library. On the other hand, the analysis approach imposes a constraint on the shape of the signal (e.g., piecewise constant). Both approaches incorporate prior information about the signal in a different way, but they lead to trend filters that are very capable at noise removal while preserving at the same time sharp edges in the signal. This is highlighted through the comparison with a classical linear filter on a batch of synthetic data representative of typical engine fault profiles.
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Lohmann, Adolf W. "Signal Processing in Higher Dimensions." In Signal Recovery and Synthesis. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/srs.1989.wa1.

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Suppose the signal is u(t). Two examples of representations in artifical and/or higher dimensions are the autocorrelation: and the (auto-)triple correlation: Isn't it masochistic to deal with these indirect representations of the signal instead of with the signal u(t) itself? The triple correlation is an example of artificial increase of dimensionality. The signal u(t) is ID, the triple correlation u3(t1,t2) is 2D.
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Leclere, James H., Abolfazl M. Amini, George E. Ioup, and Juliette W. Ioup. "Optimizing Iterative Noise Removal and Deconvolution by Simulation." In Signal Recovery and Synthesis. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/srs.1995.rtue4.

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Optimization of iterative noise removal and deconvolution establishes the number of iterations needed. One approach to optimization utilizes statistical analysis of numerous trials on noise-added signals. Fixing approximately the signal-to-noise ratio (SNR) for each set of trials makes possible the determination of iteration number and expected error versus SNR as well as the statistical standard deviation of these quantities. The advantage of this approach is that it allows 1) any computer-generated noise type, 2) any criterion for optimization which is calculable, and 3) the use of nonlinear constraints. Analytic approaches to optimization do not in general allow this flexibility. Since nonlinear constraints such as nonnegativity are often the key to superresolution, the ability to perform this type of optimization is quite important. Details concerning the simulations are addressed, including stopping criteria when the rate of change in the optimization measure is very slow. Although minimization of the mean squared error and absolute error have been the main criteria examined thus far in the work because of their current pervasiveness, a number of criteria, especially those related to resolution, may be more appropriate for many data types and goals.
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Yaroslavsky, L. P. "Local Criteria : A Unified Approach to Locally Adaptive Linear and Rank Filters." In Signal Recovery and Synthesis. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/srs.1989.thb4.

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During the last several years a lot of new linear and nonlinear rank algorithms for signal and picture processing have been proposed [1-13]. The linear ones have been derived from one or another statistical model of the signal to be processed. The rank ones have been substantiated from different positions and without any rather general notion of optimality. The aim of this paper is to introduce a new family of criteria of processing quality as a basis for unified approach to synthesis of optimal linear and rank filters for signal and picture processing.
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Schils, George F., and Donald W. Sweeney. "Iterative Synthesis of Distortion Invariant Optical Correlation Filters." In Signal Recovery and Synthesis. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/srs.1986.wb3.

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An iterative technique can be used to synthesize pattern recognition filters that are invariant to image distortions. These distortions might be position (location), rotation, scale, and perspective. The image to detect may also appear at different intensities. In this paper, we present an iterative technique based on spectral iteration in angular Fourier space for the synthesis of rotationally, translationally, and intensity invariant optical pattern recognition filters. The iterative method allows full image information to be retained while simultaneously obtaining invariance to rotation and image location. The general method presented may be extended to synthesize filters with invariances to additional distortions.
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Zhang, Chenrui, and Yuxin Peng. "Visual Data Synthesis via GAN for Zero-Shot Video Classification." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/157.

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Zero-Shot Learning (ZSL) in video classification is a promising research direction, which aims to tackle the challenge from explosive growth of video categories. Most existing methods exploit seento- unseen correlation via learning a projection between visual and semantic spaces. However, such projection-based paradigms cannot fully utilize the discriminative information implied in data distribution, and commonly suffer from the information degradation issue caused by "heterogeneity gap". In this paper, we propose a visual data synthesis framework via GAN to address these problems. Specifically, both semantic knowledge and visual distribution are leveraged to synthesize video feature of unseen categories, and ZSL can be turned into typical supervised problem with the synthetic features. First, we propose multi-level semantic inference to boost video feature synthesis, which captures the discriminative information implied in joint visual-semantic distribution via feature-level and label-level semantic inference. Second, we propose Matching-aware Mutual Information Correlation to overcome information degradation issue, which captures seen-to-unseen correlation in matched and mismatched visual-semantic pairs by mutual information, providing the zero-shot synthesis procedure with robust guidance signals. Experimental results on four video datasets demonstrate that our approach can improve the zero-shot video classification performance significantly.
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Weiner, Andrew M. "Applications of Holography for Femtosecond Time-Domain Processing." In Holography. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/holography.1996.hmc.3.

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In this talk we discuss Fourier optics methods for signal processing in the femtosecond time domain [1]. Applications include pulse shaping and waveform synthesis, storage, recall, and matched filtering of ultrafast optical signals, time-to-space and space-to-time conversion, and ultrafast transmultiplexing for data format conversion.
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Reports on the topic "Signal synthesi"

1

Dolan, Daniel H. ,. III. Velocimetry signal synthesis with fringen. Office of Scientific and Technical Information (OSTI), February 2011. http://dx.doi.org/10.2172/1008143.

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2

Oppenheim, Alan V., and Gregory W. Wornell. Signal Analysis, Synthesis and Processing Using Fractals and Wavelets. Fort Belvoir, VA: Defense Technical Information Center, November 1995. http://dx.doi.org/10.21236/ada305490.

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John Kirk. Signal based motion compensation for synthetic aperture radar. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/764587.

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McGuire, Mark A., Amichai Arieli, Israel Bruckental, and Dale E. Bauman. Increasing Mammary Protein Synthesis through Endocrine and Nutritional Signals. United States Department of Agriculture, January 2001. http://dx.doi.org/10.32747/2001.7574338.bard.

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Objectives To determine endocrine factors that regulate the partitioning of amino acids by the mammary gland. To evaluate dietary flow and supply of energy and amino acids and their effects on milk protein synthesis and endocrine status. To use primary cultures of cow mammary epithelial cells to examine the role of specific factors on the rates and pattern of milk protein synthesis. Milk protein is an increasingly valuable component of milk but little is known regarding the specific hormonal and nutritional factors controlling milk protein synthesis. The research conducted for this project has determined that milk protein synthesis has the potential to be enhanced much greater than previously believed. Increases of over 25% in milk protein percent and yield were detected in studies utilizing abomasal infusion of casein and a hyperinsulinemic-euglycemic clamp. Thus, it appears that insulin, either directly or indirectly, can elicit a substantial increase in milk protein synthesis if additional amino acids are supplied. For additional amino acids, casein provided the best response even though substantial decreases in branched chain amino acids occur when the insulin clamp is utilized. Branched chain amino acids alone are incapable of supporting the enhanced milk protein output. The mammary gland can vary both blood flow and extraction efficiency of amino acids to support protein synthesis. A mammary culture system was used to demonstrate specific endocrine effects on milk protein synthesis. Insulin-like growth factor-I when substituted for insulin was able to enhance casein and a-lactalbumin mRNA. This suggests that insulin is a indirect regulator of milk protein synthesis working through the IGF system to control mammary production of casein and a-lactalbumin. Principal component analysis determined that carbohydrate had the greatest effect on milk protein yield with protein supply only having minor effects. Work in cattle determined that the site of digestion of starch did not affect milk composition alone but the degradability of starch and protein in the rumen can interact to alter milk yield. Cows fed diets with a high degree of rumen undegradability failed to specifically enhance milk protein but produced greater milk yield with similar composition. The mammary gland has an amazing ability to produce protein of great value. Research conducted here has demonstrated the unprecedented potential of the metabolic machinery in the mammary gland. Insulin, probably signaling the mammary gland through the IGF system is a key regulator that must be combined with adequate nutrition in order for maximum response.
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O'Neill, Sharman, Abraham Halevy, and Amihud Borochov. Molecular Genetic Analysis of Pollination-Induced Senescence in Phalaenopsis Orchids. United States Department of Agriculture, 1991. http://dx.doi.org/10.32747/1991.7612837.bard.

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The project investigated the molecular genetic and biochemical basis of pollination-induced senescence of Phalaenopsis flowers. This experimental system offered unique advantages in that senescence is strictly regulated by pollination, providing the basis to experimentally initiate and synchronize senescence in populations of flowers. The postpollination syndrome in the Phalaenopsis orchid system was dissected by investigating the temporal and spatial regulation of ACC synthase gene expression. In the stigma, pollen-borne auxin induces the expression of the auxin-regulated ACC synthase (PS-ACS2) gene, resulting in ACC synthesis within 1 h following pollination. Newly formed ACC is oxidized by basal constitutive ACC oxidase to ethylene, which then induces the expression of the ethylene-regulated ACC synthase(PS-ACS1) and oxidase (ACO1) genes for further autocatalytic production of ethylene. It is speculated that during the 6-h period following pollination, emasculation leads to the production or release of a sensitivity factor that sensitizes the cells of the stigma to ethylene. ACC and ethylene molecules are translocated from the stigma to the labellum and perianth where ethylene induces the expression of PS-ACS1 and ACO1 resulting in an increased production of ACC and ethylene. Organ-localized ethylene is responsible for inrolling and senescence of the labellum and perianth. The regulation of ethylene sensitivity and signal transduction events in pollinated flowers was also investigated. The increase in ethylene sensitivity appeared in both the flower column and the perianth, and was detected as early as 4 h after pollination. The increase in ethylene sensitivity following pollination was not dependent on endogenous ethylene production. Application of linoleic and linoleic acids to Phalaenopsis and Dendrobium flowers enhanced their senescence and promoted ethylene production. Several major lipoxygenase pathway products including JA-ME, traumatic acid, trans-2-hexenal and cis-3-hexenol, also enhanced flower senescence. However, lipoxygenase appears to not be directly involved in the endogenous regulation of pollination-induced Phalaenopsis and Dendrobium flower senescence. The data suggest that short-chain saturated fatty acids may be the ethylene "sensitivity factors" produced following pollination, and that their mode of action involves a decrease in the order of specific regions i the membrane lipid bilayer, consequently altering ethylene action. Examination of potential signal transduction intermediates indicate a direct involvement of GTP-binding proteins, calcium ions and protein phosphorylation in the cellular signal transduction response to ethylene following pollination. Modulations of cytosolic calcium levels allowed us to modify the flowers responsiveness to ethylene.
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Oppenhein, Alan V. Analysis, Synthesis and Processing of Fractal Signals Using Wavelets. Fort Belvoir, VA: Defense Technical Information Center, October 1995. http://dx.doi.org/10.21236/ada301794.

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Johnston, Brooks. Time-frequency analysis of synthetic aperture radar signals. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/420387.

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Soumekh, Mehrdad. Synthetic Aperture Radar Signal Processing and Imaging Using High Performance Computing. Fort Belvoir, VA: Defense Technical Information Center, October 1999. http://dx.doi.org/10.21236/ada368842.

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Matzner, Shari. Model-Based Information Extraction From Synthetic Aperture Radar Signals. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.248.

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10

Day, Amber. Complex-Valued Signal Denoising and Bayesian Optimization for Detection of Synthetic Opioids. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1897402.

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