Dissertations / Theses on the topic 'Digital signal processing system'
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Kwan, Ching Chung. "Digital signal processing techniques for on-board processing satellites." Thesis, University of Surrey, 1990. http://epubs.surrey.ac.uk/754893/.
Full textLi, Shuo. "System-Level Architectural Hardware Synthesis for Digital Signal Processing Sub-Systems." Doctoral thesis, KTH, Elektronik och Inbyggda System, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180441.
Full textQC 20160125
Nader, Charles. "Enhancing Radio Frequency System Performance by Digital Signal Processing." Licentiate thesis, University of Gävle, Department of Electronics, Mathematics and Natural Sciences, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-7312.
Full textIn this thesis measurement systems for the purpose of characterization of radio frequency power amplifiers are studied. Methods to increase the speed, accuracy, bandwidth, as well as to reduce the sampling requirements and testing cost are presented. A method intended for signal shaping with respect to peak to-average ratio reduction and its effects-improvements on the radio frequency front-end performance is investigated.
A time domain measurement system intended for fast and accurate measurements and characterization of radio frequency power amplifiers is discussed. An automated, fast and accurate technique for power and frequency sweep measurements is presented. Multidimensional representation of measured figure of merits is evaluated for its importance on the production-testing phase of power amplifiers.
A technique to extend the digital bandwidth of a measurement system is discussed. It is based on the Zhu-Frank generalized sampling theorem which decreases the requirements on the sampling rate of the measurement system. Its application for power amplifiers behavioral modeling is discussed and evaluated experimentally.
A general method for designing multitone for the purpose of out-of-band characterization of nonlinear radio frequency modules using harmonic sampling is presented. It has an application with the validation of power amplifiers behavioral models in their out-of-band frequency spectral support when extracted from undersampled data.
A method for unfolding the frequency spectrum of undersampled wideband signals is presented. It is of high relevance to state-of-the-art radio frequency measurement systems which capture repetitive waveform based on a sampling rate that violates the Nyquist constraint. The method is presented in a compact form, it eliminates ambiguities caused by folded frequency spectra standing outside the Nyquist band, and is relevant for calibration matters.
A convex optimization reduction-based method of peaks-to-average ratio of orthogonal frequency division multiplexing signals is presented and experimentally validated for a wireless local area network system. Improvements on the radio frequency power amplifier level are investigated with respect to power added efficiency, output power, in-band and out-of-band errors. The influence of the power distribution in the excitation signal on power amplifier performance was evaluated.
Al-Breiki, Mohamed Ahmed Mohamed Naser. "Digital signal processing extra-tropical cyclones warning system using WiMAX." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/10628.
Full textSulley, C. E. "A functional multiprocessor system for real-time digital signal processing." Thesis, University of Bath, 1985. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370454.
Full textChen, Jen Mei. "Multistage adaptive filtering in a multirate digital signal processing system." Thesis, Massachusetts Institute of Technology, 1993. https://hdl.handle.net/1721.1/127935.
Full textIncludes bibliographical references (leaves 101-104).
by Jen Mei Chen.
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
Lim, Seow-Chuan. "Investigations into the feasibility of digital neuromorphic signal processing circuits." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/28189.
Full textKolb, John. "SIGNAL PROCESSING ABOUT A DISTRIBUTED DATA ACQUISITION SYSTEM." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/605610.
Full textBecause modern data acquisition systems use digital backplanes, it is logical for more and more data processing to be done in each Data Acquisition Unit (DAU) or even in each module. The processing related to an analog acquisition module typically takes the form of digital signal conditioning for range adjust, linearization and filtering. Some of the advantages of this are discussed in this paper. The next stage is powerful processing boards within DAUs for data reduction and third-party algorithm development. Once data is being written to and from powerful processing modules an obvious next step is networking and decom-less access to data. This paper discusses some of the issues related to these types of processing.
Frangakis, G. P. "Digital and microprocessor-based techniques in signal processing and system simulation." Thesis, University of Southampton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370338.
Full textSinger, Amy M. (Amy Michelle). "Top-down design of digital signal processing systems." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40000.
Full textIncludes bibliographical references (leaves 45-46).
by Amy M. Singer.
M.Eng.
DeBardelaben, James Anthony. "An optimization-based approach for cost-effective embedded DSP system design." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/15757.
Full textPeng, Dongming. "Exploiting parallelism within multidimensional multirate digital signal processing systems." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969/141.
Full textTye, Thomas N. "Application of digital signal processing methods to very high frequency omnidirectional range (VOR) signals in the design of an airborneflight measurement system." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1177702951.
Full textSpencer, Paul S. "System identification with application to the restoration of archived gramophone recordings." Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303929.
Full textBhattacharjee, Nirjhar. "A Real-Time Data Acquisition and Digital Signal Processing System for Neuromonitoring." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445342703.
Full textAlsharekh, Mohammed Fahad. "A hardware implementation of the imbedded reference signal algorithm system using a digital signal processing board." Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178734740.
Full textMyjak, Mitchell John. "A medium-grain reconfigurable architecture for digital signal processing." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Dissertations/Spring2006/m%5Fmyjak%5F042706.pdf.
Full textBramwell, Jonathan Richard. "The use of digital signal processing in satellite communication." Thesis, University of Plymouth, 1988. http://hdl.handle.net/10026.1/2479.
Full textLandqvist, Ronnie. "Signal processing techniques in mobile communication systems : signal separation, channel estimation and equalization /." Karlskrona : Blekinge Institute of Technology, 2005. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/98bf8bfb44d67d86c1257099003e2fc1?OpenDocument.
Full textSaidi, Ali. "Root contours of low-order two-dimensional system functions." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13722.
Full textGalvin, Ross. "Underwater fading channel simulator for a parametric communication system." Thesis, University of Birmingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366764.
Full textSprague, Milo D. "A High Performance DSP Based System Architecture for Motor Drive Control." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-81197-165134/.
Full textRatter, Adrian. "Development of a real-time digital signal processing system for machine condition monitoring." Thesis, Robert Gordon University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290427.
Full textRandeny, Tharindu D. "Multi-Dimensional Digital Signal Processing in Radar Signature Extraction." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1451944778.
Full textHussain, A. "Novel artificial neural network architectures and algorithms for non-linear dynamical system modelling and digital communications applications." Thesis, University of Strathclyde, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263481.
Full textNabavi, Neda. "Digital Signal Processing in Coherent Optical Radio Over Fiber Systems." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36664.
Full textLindström, Fredric. "Digital signal processing methods and algorithms for audio conferencing systems /." Karlskrona : Department of Signal Processing, School of Engineering, Blekinge Institute of Technology, 2007. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/9cc008f2fa400e82c12572bb00331533?OpenDocument.
Full textJijie, Zhu. "Finite state machine with applications to digital signal processing systems." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293028.
Full textHenry, Michael Brewer. "Power Reduction of Digital Signal Processing Systems using Subthreshold Operation." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33691.
Full textOver the past couple decades, the capabilities of battery-powered electronics has expanded dramatically. What started out as large bulky 2-way radios, wristwatches, and simple pacemakers, has evolved into pocket sized smart-phones, digital cameras, person digital assistants, and implantable biomedical chips that can restore hearing and prevent heart attacks. With this increase in complexity comes an increase in the amount of processing, which runs on a limited energy source such as a battery or scavenged energy. It is therefore desirable to make the hardware as energy efficient as possible. Many battery-powered systems require digital signal processing, which often makes up a large portion of the total energy consumption. The digital signal processing of a battery-powered system is therefore a good target for power reduction techniques. One method of reducing the power consumption of digital signal processing is to operate the circuit in the subthreshold region, where the supply voltage is lower than the threshold voltage of the transistors. Subthreshold operation greatly reduces the power and energy consumption, but also decreases the maximum operating frequency. Many digital signal processing applications have real-time throughput requirements, so various architectural level techniques, such as pipelining and parallelism, must be used in order to achieve the required performance.
This thesis investigates the use of parallelization and subthreshold operation to lower the power consumption of digital signal processing applications, while still meeting throughput requirements. Using an off the shelf fast fourier transform architecture, it will be shown that through parallelization and subthreshold operation, a 70 \% reduction in power consumption can be achieved, all while matching the performance of a nominal voltage single core architecture. Even better results can be obtained when an architecture is specifically designed for subthreshold operation. A novel Discrete Wavelet Transform architecture is presented that is designed to eliminate the need for memory banks, and a power reduction of 26x is achieved compared to a reference nominal voltage architecture that uses memory banks. Issues such as serial to parallel data distribution, dynamic throughput scaling, and memory usage are also explored in this thesis. Finally, voltage scaling greatly increases the design space, so power and timing analysis can be very slow due long SPICE simulation times. A simulation framework is presented that can characterize subthreshold circuits accurately using only fast gate level design automation tools.
Master of Science
Sengupta, Arindam. "Multidimensional Signal Processing Using Mixed-Microwave-Digital Circuits and Systems." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1407977367.
Full textLind, Johnny. "Signal Processor Implementation of Digital Filter and Linear Systems Laborations." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-19077.
Full textThe goal of this bachelor thesis has been to investigate if the laboratory exercises in the courses digital filters and linear systems can be moved from matlab to a digital signal processor. The processor is a TMS320C6713 floating point processor mounted on a development board.
The original laboratories have been implemented and analyzed and some suggested changes have been presented for the digital filter laboration. For the laboration in linear systems, the exercise can be implemented as it is today. Furthermore, a transmultiplexer has been implemented and tested for real time execution.
Finally, an application programming interface has also been implemented, with common functions, used in the laboratories.
Hossain, Mohammed Alamgir. "Digital signal processing and parallel processing for real-time adaptive noise and vibration control." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484164.
Full textВоргуль, О. В. "How to Use Equipment to Measure the Analog Signal by Means of FPGA System." Thesis, NURE, MC&FPGA, 2019. https://mcfpga.nure.ua/conf/2019-mcfpga/10-35598-mcfpga-2019-006.
Full textВоргуль, О. В. "How to Use Equipment to Measure the Analog Signal by Means of FPGA System." Thesis, NURE, MC&FPGA, 2019. https://mcfpga.nure.ua/conf/2019-mcfpga/10-35598-mcfpga-2019-006.
Full textMorris, Robert W. "Enhancement and recognition of whispered speech." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180338/unrestricted/morris%5frobert%5fw%5f200312%5fphd.pdf.
Full textFriedmann, Arnon A. "Measurements, characterization, and system design for digital storage /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9732719.
Full textAlfonso, Ovidio. "Digital signal processing implementation for near real-time wavelet transformation system for binary images." FIU Digital Commons, 2000. http://digitalcommons.fiu.edu/etd/1065.
Full textВоргуль, О. В., І. В. Свид, and О. В. Зубков. "Neuron Networks Design in Matlab and Vivado." Thesis, MC&FPGA, 2021. https://openarchive.nure.ua/handle/document/18110.
Full textColzi, Enrico. "Digital signal processing techniques for personal and broadcasting satellite communiction systems /." Noordwijk : ESA, 1999. http://www.gbv.de/dms/goettingen/303785233.pdf.
Full textKeding, Holger [Verfasser]. "Fast Simulation of Fixed-Point Digital Signal Processing Systems / Holger Keding." Aachen : Shaker, 2003. http://d-nb.info/1172611084/34.
Full textHe, Xuan. "MIMO Digital Signal Processing in Few-Mode Fiber Optical Communication Systems." Thesis, University of Louisiana at Lafayette, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3687684.
Full textSpace-division multiplexing (SDM) has been extensively proposed to overcome the next capacity crunch with ever-increasing data and video traffic. Among several SDM approaches, mode-division-multiplexing (MDM) in few-mode fiber (FMF) is the most auspicious technology. One key challenge in FMF transmission systems is random mode coupling among different fiber modes, which can cause severe inter-modal crosstalk. Moreover, large accumulated differential mode group delay (DMGD) can induce significant inter-symbol interference (ISI).
The approach of adaptive multi-input multi-output (MIMO) digital signal processing (DSP) has been proposed and demonstrated to untangle the crosstalk between the spatial modes and compensate the DMGD. In FMF systems, compared with time-domain adaptive MIMO signal processing, the implementation of frequency domain method achieves much lower hardware complexity. In this dissertation, a single-stage adaptive MIMO equalizer is proposed to compensate both DMGD and chromatic dispersion (CD) simultaneously in order to further reduce the hardware complexity.
Except for hardware complexity, the convergence rate of adaptive MIMO equalizer is another essential concern. The adaptive MIMO equalizer with slower convergence speed requires longer training symbols, thus decreasing the system overall efficiency. In the dissertation, two advanced step size control methods are presented to increase the convergence rate of the conventional FD-LMS algorithm. The first approach is the signal power spectral density (PSD) dependent method, which adopts the step size for each frequency bin inverse to its power level in order to converge the estimated equalization error to zero, thus it is the optimal solution in the systems with noise-free channel. The other method is the noise PSD directed method, which adopts the frequency bin-wise step size to render the estimated error converge to the channel background noise, thus it is the optimum solution in the systems with additive white Gaussian noise channel.
Chung, Jae Hak. "Applications of digital signal processing to electric power quality and wireless communications /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.
Full textYim, Wan Hung. "All-digital multicarrier demodulators for on-board processing satellites in mobile communication systems." Thesis, University of Surrey, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290415.
Full textConstaninides, George Anthony. "High level synthesis and word length optimization of digital signal processing systems." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252020.
Full textAllay, Najib. "Application of nonuniform sampling techniques in digital signal processing and communication systems." Thesis, University of Westminster, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433854.
Full textPopescu, George. "Digital Signal Processing Methods for Safety Systems Employed in Nuclear Power Industry." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479815935917872.
Full textLewis, Lucian Russell. "Small-signal analysis and design of a distributed power system." Thesis, Virginia Tech, 1990. http://hdl.handle.net/10919/31651.
Full textMaster of Science
Supnithi, Pornchai. "Coding and signal processing in M-ary optical recording systems." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13440.
Full textVoigt, Sven-Ole. "Dynamically reconfigurable dataflow architecture for high performance digital signal processing on multi FPGA platforms." Aachen Shaker, 2008. http://d-nb.info/992481694/04.
Full textRanganathan, Raghuram. "Novel complex adaptive signal processing techniques employing optimally derived time-varying convergence factors with applications in digital signal processing and wireless communications." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002431.
Full text