Relevant bibliographies by topics / Programmable finite impulse response

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Programmable finite impulse response'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Programmable finite impulse response"

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Poornima, Y., and M. Kamalanathan. "Design of Low Power Vedic Multiplier Based Reconfigurable Fir Filter for DSP Applications." International Journal of Advance Research and Innovation 7, no. 2 (2019): 57–60. http://dx.doi.org/10.51976/ijari.721908.

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Recent advances in mobile computing and multimedia applications demand high - performance and low - power VLSI digital signal processing (DSP) systems. One of the most widely used operations in DSP is finite - impulse response (FIR) filtering. In the existing method FIR filter is designed using array multiplier, which is having higher delay and power dissipation. The proposed method presents a programmable digital finite impulse response (FIR) filter for high - performance applications. One of the most widely used operations in DSP is finite - impulse response (FIR) filtering. In the existing method FIR filter is designed using array multiplier, which is having higher delay and power dissipation. The proposed method presents a programmable digital finite impulse response (FIR) filter for high performance applications. The FIR filter performs the weighted summations of input sequences and is widely used in video convolution functions, signal preconditioning, and various communication applications. Recently, due to the high - performance requirement and increasing complexity of DSP and multimedia communication application. In this work, , FIR filter multipliers are extensively characterized with power simulations, providing a methodology for the perturbation of the coefficients of baseline filters at the algorithm level to trade-off reduced power consumption for filter quality. The proposed optimization technique does not require any hardware overhead and it enables the possibility of scaling the power consumption of the filter at runtime.
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Aparna, A., and T. Vigneswaran. "DESIGN OF HIGH PERFORMANCE MULTIPLIERLESS LINEAR PHASE FINITE IMPULSE RESPONSE FILTERS." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (April 1, 2017): 66. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19564.

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This research work proposes the finite impulse response (FIR) filters design using distributed arithmetic architecture optimized for field programmable gate array. To implement computationally efficient, low power, high-speed FIR filter a two-dimensional fully pipelined structure is used. The FIR filter is dynamically reconfigured to realize low pass and high pass filter by changing the filter coefficients. The FIR filter is most fundamental components in digital signal processing for high-speed application. The aim of this research work is to design multiplier-less FIR filter for the requirements of low power and high speed various embedded applications.
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Zhang, Zhenyu, Yanan Li, and Bassam Nima. "Digital Finite Impulse Response Equalizer for Nonlinear Frequency Response Compensation in Wireless Communication." Electronics 12, no. 9 (April 26, 2023): 2010. http://dx.doi.org/10.3390/electronics12092010.

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Signal distortion can occur when the gain or attenuation of a component changes non-linearly with frequency, which is referred to as nonlinear frequency response. Common communications components such as filters, amplifiers, and mixers can lead to nonlinear frequency responses, which can cause errors in transmitting and receiving. This article outlines the design and demonstration of a static and dynamic finite impulse response (FIR) digital equalizer circuit. Using predistortion topology with a coupled feedback loop, the adaptive Least-Mean Square (LMS) algorithm was implemented. The FIR filter was simulated in MATLAB and Vivado and then implemented onto an Eclypse Z7 Field Programmable Gate Array (FPGA) evaluation board. Simulations showed that the custom RTL module gave the same frequency response that was produced in MATLAB calculations. The filter was able to dynamically equalize the frequency responses of different nonlinear boards that were used as the devices under test (DUT). Measurements showed that the equalizer was able to compensate for system distortion from 0.2 to 0.8 Nyquist frequency. The phase response remained relatively linear across the band of interest, with a group delay flatness less than 10 ns.
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Vandenbussche, Jean‐Jacques, Peter Lee, and Joan Peuteman. "Multiplicative finite impulse response filters: implementations and applications using field programmable gate arrays." IET Signal Processing 9, no. 5 (July 2015): 449–56. http://dx.doi.org/10.1049/iet-spr.2014.0143.

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Mohanraj, R., and R. Vimala. "ECG Signal Denoising with Field-Programmable Gate Array Implementation of Fast Digital Finite Impulse Response and Infinite Impulse Response Filters." Journal of Medical Imaging and Health Informatics 10, no. 1 (January 1, 2020): 81–85. http://dx.doi.org/10.1166/jmihi.2020.2842.

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Długosz, Rafał, and Krzysztof Iniewski. "Programmable Switched Capacitor Finite Impulse Response Filter with Circular Memory Implemented in CMOS 0.18 μm Technology." Journal of Signal Processing Systems 56, no. 2-3 (June 10, 2008): 295–306. http://dx.doi.org/10.1007/s11265-008-0233-3.

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., Akriti. "The Design of FIR Filter Based on improved DA Algorithm and its FPGA implementation: REVIEW." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (March 31, 2024): 17–20. http://dx.doi.org/10.22214/ijraset.2024.58572.

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Abstract: This research investigates challenges in employing the Distributed Arithmetic (DA) algorithm for Finite Impulse Response (FIR) filters on Field-Programmable Gate Arrays (FPGAs). Focusing on coefficient representation, it explores precision trade-offs via fixed-point arithmetic and quantization. Memory optimization strategies, such as efficient storage within FPGA resources, are analysed to reduce memory requirements. Enhancing computational speed involves optimizing lookup table access and architectural modifications. Efficient management of FPGA resources and trade-offs between latency, throughput, and resource usage are also explored. Algorithmic refinements specific to DA-based FIR filters are studied to enhance resource utilization and computational efficiency. Overall, this work offers insights and solutions spanning algorithm design, memory utilization, lookup table speed, and FPGA architecture for more efficient DA-based FIR filter implementations on FPGAs.
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Kumari, Puja, Rajeev Gupta, and Abhijit Chandra. "Design and Implementation of a Power Efficient Pulse-shaping Finite Impulse Response Filter on a Field Programmable Gate Array Chip." International Journal of Image, Graphics and Signal Processing 4, no. 4 (May 15, 2012): 1–10. http://dx.doi.org/10.5815/ijigsp.2012.04.01.

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Jain, Ekta H., and Chandu N. Bhoyar. "Implementation of High Speed Operating FIR Filter with DA Algorithm Comparing Results with MAC Algorithm and Simple FIR Filter Result." Journal of Advance Research in Electrical & Electronics Engineering (ISSN: 2208-2395) 2, no. 2 (February 28, 2015): 10–17. http://dx.doi.org/10.53555/nneee.v2i2.231.

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Recent years there has been a increasing trend to implement digital signal processing functions in Field Programmable Gate Array (FPGA). therefor, we need to put great effort in designing efficient architectures for digital signal processing functions such as FIR filters, which are widely used in audio and video signal processing, telecommunications etc. We are going to present a method for implementing high speed Finite Impulse Response (FIR) filters using MAC (MULTIPLY AND ACCUMULATE) and Distributed Arithmetic (DA) method. MAC is a conventional FIR filter In these method adders, multipliers and delay elements are used. Distributed Arithmetic (DA) has been used to implement a bit-serial scheme of a general symmetric version of an FIR filter due to its high stability and linearity by taking optimal advantage of the look-up table (LUT) based structure of FPGAs. The performance of the DA technique for FIR filter design is analyzed and the results are compared to the MAC design technique.
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WANG, WEI, M. N. S. SWAMY, and M. O. AHMAD. "NOVEL DESIGN AND FPGA IMPLEMENTATION OF DA-RNS FIR FILTERS." Journal of Circuits, Systems and Computers 13, no. 06 (December 2004): 1233–49. http://dx.doi.org/10.1142/s0218126604001970.

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Field programmable gate array (FPGA)-based digital signal processing has been widely used in multimedia applications. By combining distributed arithmetic (DA) and residue number system (RNS) in such designs, efficient area, speed and power efficiency can be achieved. In this paper, we propose novel techniques for the design and FPGA implementation of DA-RNS finite impulse response (FIR) filters. By introducing a novel low-cost moduli set and its selection method, efficient modulo arithmetic units inside the subfilters are designed. Then, a new residue-to-binary conversion algorithm, a so-called modified DA Chinese remainder theorem, is derived to reduce the modulo operations and provide an efficient residue-to-binary converter suitable to FPGA implementation. Based on these proposed techniques, a seventh-order DA-RNS FIR filter is designed, implemented and tested by using Xilinx FPGA tools. The implementation results show that the proposed filter design consumes only 77% of the power that the existing filter12,13 requires, while maintaining the same speed (throughput).
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Dissertations / Theses on the topic "Programmable finite impulse response"

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Macpherson, Kenneth Noble. "Low hardware cost, high speed, full-parallel finite impulse response digital filters on field programmable gate arrays." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405323.

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Eshra, Islam. "Un FIRDAC programmable pour émetteurs RF re-configurable." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS461.

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Le convertisseur numérique-analogique à réponse impulsionnelle finie (FIRDAC) proposé est programmable avec un ordre entièrement reconfigurable et des coefficients capables de fournir un ordre jusqu'à 62 et un rapport entre le coefficient maximum et minimum de 159. Cela a permis une large gamme de facteurs d'atténuation pouvant atteindre 100dB et une large gamme de bandes de transition normalisées (>0.0156). Le filtre FIRDAC a été conçu et implémenté en technologie CMOS 65 nm avec une surface active totale de 0,867 mm2. Au niveau du circuit, le FIRDAC peut atteindre une fréquence d'échantillonnage de 2,56 GHz pour une consommation en puissance moyenne de 9mW. Pour une entrée sinusoïdale, le filtre FIRDAC atteint un rapport signal sur bruit (SNR) jusqu'à 67,3 dB et une dynamique (SFDR) de 72 dBc. Les performances du filtre FIRDAC ont été testées dans des émetteurs QPSK, 16-QAM et 64-QAM avec OFDM et avec différentes largeurs de bande. Les simulations montrent un EVM (Error Vector Magnitude) de 2,66%, 1,9% et 2,29% respectivement. Une partie de ce travail concerne la conception du Front-End d’un émetteur RF programmable. Le Front-End RF est composé d'un mélangeur RF, d'un amplificateur de pré-puissance et d'un filtre LC réglable. Le Front-End RF complet a un gain programmable total de 23 dB avec un pas de 1,53 dB et capable de fonctionner sur une plage de 1,5 GHz à 5 GHz. La puissance RF de sortie maximale est de -11 dBm avec une consommation électrique de 23 mW. Les résultats montrent une dynamique (SFDR) maximum de -61,95 dBc pour deux tonalités à une fréquence porteuse de 4 GHz, tandis que pour un signal OFDM 16-QAM, l'EVM obtenu était de 4,76 %
The first part of this work relates to the design and implementation of a programmable Finite Impulse Response Digital to Analog Converter (FIRDAC). The programmability is in the filter's order (N-1) and its coefficients. The proposed FIRDAC is capable of providing an order up to 62 and a ratio between maximum to minimum coefficient up to 159. This allowed the filter to provide up to 100dB of attenuation and a wide range of normalized transition-band (>0.0156). The FIRDAC filter has been designed and implemented in 65nm CMOS with total active area 0.867mm2. The FIRDAC can operate up to 2.56 GHz of sampling frequency at an average power consumption of 9mW. For a single tone input, the FIRDAC filter managed to provide an SNR up to 67.3dB and a SFDR of 72dBc. The FIRDAC filter was tested with different modulation techniques: OFDM, 16-QAM OFDM and 64-QAM OFDM having different channel Bandwidth. The circuit achieved an Error Vector Magnitude (EVM) of 2.66%, 1.9% and 2.29% respectively, complying with the LTE and the 802.11ac standards. The second part of this work relates to the design of a programmable RF front-end circuit. The RF front-end is composed of an analog RF mixer, a programmable Pre-Power Amplifier (PPA) and a tunable LC tank. The whole RF front-end introduced a total programmable gain of 23dB with a gain step of 1.53dB operating in the 1.5GHz - 5GHz frequency range. The maximum output RF power is -11dBm with a power consumption of 23mW. Simulation result showed a maximum SFDR of -61.95dBc for two tones at a carrier frequency of 4GHz. While for a 16-QAM OFDM signal, the obtained EVM was 4.76%
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Broddfelt, Michel. "Design of a Finite-Impulse Response filter generator." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2027.

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In this thesis a FIR filter generator has been designed. The program generates FIR filters in the form of VHDL-files. Four different filter structures have been implemented in the generator, Direct Form (DF), Differential Coefficients Method (DCM), polyphase filters and (2-by-2) filters.

The focus of the thesis was to implement filter structures that create FIR filters with as low power consumption and area as possible.

The generaterator has been implemented i C++. The C++ program creates text-files with VHDL-code. The user must then compile and synthesize the VHDL-files. The program uses an text-file with the filter coefficients as input.

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Carter, Scott Edward. "Finite impulse response utilizing the principles of superposition." Master's thesis, University of Central Florida, 1995. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/15187.

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University of Central Florida College of Engineering Thesis
Window functions have been greatly utilized in the synthesis of finite impulse response (FIR) filters implemented using surface acoustic wave (SAW) devices. The critical parameter in any FIR design in the impulse response length, which must be optimized for the given design specifications in order to reduce the size of each device. To this end, many design algorithms have been intorduced such as Remez excange, linear programming, and least mean squares. A new algorithm has been derived which is efficient and accurate for the design of arbitrary filter specifications requiring less computationsthan the current algorithms. The FIR design is applicaable to general SAW filter design and allows two weighted transducers to be designed in a near optimal method without the need to perform zero aplitting of de-convolution. The thesis first provides the definition of the window functions used for the design process. Then the overview of the design process is discussed using a flowchart of the modeling program for designing and FIR without tranducer separation and sample simulation is presented. Next, the effects of monotonically increasing sidelobes on the transition bandwidth are discussed. This is followed by a discussion of the addition of arbitary phase to the filter design requirements. Next, the separation of the response into a two transducer design utilizing the two window function series is explained. Finally, the results are discussed and compared with other design techniques.
M.S.;
Electrical and Computer Engineering
Engineering;
Electrical Engineering
69 p.
ix, 69 leaves, bound : ill. ; 28 cm.
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Sokol, Thomas M. "Finite impulse response (FIR) filters to simulate response of an antenna." Connect to resource, 2006. http://hdl.handle.net/1811/6442.

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Thesis (Honors)--Ohio State University, 2006.
Title from first page of PDF file. Document formatted into pages: contains 42 p.; also includes graphics. Includes bibliographical references (p. 42). Available online via Ohio State University's Knowledge Bank.
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Bishop, Carlton Delos. "Finite impulse response filter design using cosine series functions." Doctoral diss., University of Central Florida, 1988. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/43377.

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University of Central Florida College of Engineering Thesis
Window functions have been extensively used for the design of SAW filters. The classical truncated cosine series functions, such as the Hamming and Blackmann functions, are only a few of an infinite set of such functions. The derivation of this set of functions from orthonormal basis sets and the criteria for obtaining the constant coefficients of the functions are presented. These functions are very useful because of the closed-form expressions and their easily recognizable Fourier transform. Another approach to the design of Gaussian shaped filters having a desired sidelobe level using a 40 term cosine series will be presented as well. This approach is again non-iterative and a near equi-ripple sidelobe level filter could be achieved. A deconvolution technique will also be presented. this has the advantage of being non-iterative, simple and fast. This design method produces results comparable to the Dolph-Chebyshev technique.
Ph.D.
Doctorate
Electrical Engineering and Communication
Engineering
Electrical Engineering
41 p.
vii, 41 leaves, bound : ill. ; 28 cm.
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BRUEGGE, THOMAS JOSEPH. "THE USE OF FINITE IMPULSE RESPONSE KERNELS FOR IMAGE RESTORATION." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/187974.

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This dissertation examines the suitability of Display-Processor (DP) image computers for image enhancement and restoration tasks. Because the major architectural feature of the DP devices is their ability to rapidly evaluate finite impulse response (FIR) convolutions, much of the study focusses on the use of spatial-domain FIR convolutions to approximate Fourier-domain filtering. When the enhancement task requires the evaluation of only a single convolution, it is important that the FIR kernel used to implement the convolution is designed so that the resulting output is a good approximation of the desired output. A Minimum-Mean-Squared-Error design criterion is introduced for the purpose of FIR kernel design and its usefulness is demonstrated by showing some results of its use. If the restoration or enhancement task requires multiple convolutions in an iterative algorithm, it is important to understand how the truncation of the kernel to a finite region of support will affect the convergence properties of an algorithm and the output of the iterative sequence. These questions are examined for a limited class of nonlinear restoration algorithms. Because FIR convolutions are most efficiently performed on computing machines that have limited precision and are usually limited to performing fixed-point arithmetic, the dissertation also examines the effects of roundoff error on output images that have been computed using fixed point math. The number of bits that are needed to represent the data during a computation is algorithm dependent, but for a limited class of algorithms, it is shown that 12 bits are sufficient. Finally, those architectural features in a DP that are necessary for useful enhancement and restoration operations are identified.
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Campbell, Roy Lee. "Performance assessment of the finite impulse response Adaptive Line Enhancer." Diss., Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-05222002-085151.

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Li, Liwei. "Microwave Photonic Signal Processing Techniques based on Finite Impulse Response Configurations." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9477.

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Microwave photonic signal processing based on optical delay line structure is a powerful technique for processing high speed signals. Finite impulse response microwave photonic filters are of particular interest because of their inherent flexibility in realizing arbitrary transfer functions and linear phase, together with coherent interference free and phase-induced intensity noise free. This thesis proposes a number of effective solutions to eliminate the undesirable degradation of RF response so that microwave photonic filters can be used in practice. Experimental results demonstrate successfully multi-tap microwave photonic filters with both continuous tunability over a wide range and the elimination of high frequency limitations. One major problem of current true-time-delay is the restricted number of delay lines, and another is the difficulty in controlling the signal power. To overcome these restrictions, this thesis presents an array of multiple true-time-delay elements that can be independently and continuously tuned. Moreover, a new technique is reported to overcome the tap-delay-variation, which is caused by the interaction of the equally-spaced frequency comb lines with the non-uniform group delay of the primary fiber delay line that arises from higher-order dispersion factors. In order both to eliminate non-uniform tap-delay variations and to realize independently tunable time delays, for the first time, a hybrid phase-time shifter structure is reported. It can simultaneously form true-time-delays and phase shifts to the input RF signals within one device. To overcome the problem of periodic resonances that are inherent in microwave photonic signal processors, three different approaches for realizing single bandpass response are presented. Experimental results present single bandpass RF responses with wideband tunability at high frequencies.
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Alm, Erik. "Area and Power Efficiency of Multiplier-Free Finite Impulse Response Filters." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237417.

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In digital radio systems, a large number of finite impulse response filters are typically used. Due to their nature of operation, such filters require many multiplication operations, leading to great costs in terms of both chip area and power consumption. For cost reduction reasons, there is a strong business case for implementing these filters without general multipliers so as to reduce the area and power consumption of the overall system.This thesis explores a method of implementing finite impulse response halfband filters without general multipliers, by using a special filter structure and replacing multipliers with sequences of binary shifts and additions. The savings in terms of area and power consumption are estimated and compared to a conventional filter (with a common structure) implementation containing general multipliers, as well as the same conventional filter implemented without general multipliers by means of manipulating its coefficients such that they can be implemented with shifts and additions.The results show that while using the special filter structure with shifts and additions consumes less area and power than a conventional filter with general multipliers, employing simpler methods to obtain coefficients implementable with shifts and additions in a conventional filter structure produces smaller filters consuming less power. Moreover, the results of this thesis show that using methods allowing for multiplier-free filter implementations with conventional filter structures seems favorable, hence further investigation of such methods is recommended. Future studies could also focus on methods applicable to filters with support for dynamic coefficients.
Digitala radiosystem innehåller ofta ett stort antal filter med ändliga impulssvar. På grund av hur sådana filter opererar krävs ett stort antal multiplikationer, vilka implementerade i hårdvara tenderar ockupera stor kiselyta och konsumera hög effekt. För att reducera kostnader finns det därför ett starkt incitament att implementera dessa filter utan generella multiplikatorer. Detta examensarbete utforskar en metod för att implementera digitala halvbandsfilter utan generella multiplicerare, genom att använda en speciell filterstruktur och ersätta multiplikationerna med sekvenser av binära skiftoperationer och additioner. Besparingarna i termer av effektförbrukning och kiselyta uppskattas och jämförs med ett konventionellt implementerat filter (med en vanlig struktur) som uppfyller samma specifikationer samt samma filter med koefficienter manipulerade så att de kan uttryckas som sekvenser av binära skiftoperationer och additioner. Resultaten visar att såväl kiselyta som effektförbrukning ter sig lägre för filtret implementerat med den speciella strukturen och utan generella multiplicerare än för det konventionella filtret innehållande generella multiplicerare. Dock visas också att ännu större besparingar uppnås genom att använda den konventionella filterstrukturen men med koefficienter ma-nipulerade så att dessa kan implementeras utan multiplicerare. Överlag ärslutsatsen att konventionella filterstrukturer i kombination med metoder för att göra dess koefficienter implementerbara utan multiplicerare verkar mer lovande och att ytterligare studier av sådana metoders förtjänster bör stud-eras. Framtida studier skulle även kunna ta i beaktande metoder som ärapplicerbara på filter med icke-konstanta koefficienter.
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Books on the topic "Programmable finite impulse response"

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Oren, Joel A. Design of an asynchronous third-order finite impulse response filter. 1994.

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Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Incorporated, John, 2022.

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Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Limited, John, 2022.

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Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Incorporated, John, 2022.

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Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Incorporated, John, 2022.

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Book chapters on the topic "Programmable finite impulse response"

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Meyer-Baese, Uwe. "Finite Impulse Response (FIR) Digital Filters." In Digital Signal Processing with Field Programmable Gate Arrays, 179–224. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45309-0_3.

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Mayer-Baese, Uwe. "Finite Impulse Response (FIR) Digital Filters." In Digital Signal Processing with Field Programmable Gate Arrays, 109–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06728-4_3.

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Meyer-Baese, Uwe. "Finite Impulse Response (FIR) Digital Filters." In Digital Signal Processing with Field Programmable Gate Arrays, 79–114. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04613-5_3.

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Raja Sudharsan, R., and J. Deny. "Field Programmable Gate Array (FPGA)-Based Fast and Low-Pass Finite Impulse Response (FIR) Filter." In Intelligent Computing and Innovation on Data Science, 199–206. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3284-9_23.

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Rebizant, Waldemar, Janusz Szafran, and Andrzej Wiszniewski. "Finite Impulse Response Filters." In Signals and Communication Technology, 65–95. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-802-7_6.

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Berthoumieu, Yannick, Eric Grivel, and Mohamed Najim. "Finite Impulse Response Filters." In Digital Filters Design for Signal and Image Processing, 137–72. London, UK: ISTE, 2010. http://dx.doi.org/10.1002/9780470612064.ch5.

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Tarr, Eric. "Finite Impulse Response Filters." In Hack Audio, 205–34. New York, NY : Routledge, 2019. | Series: Audio Engineering Society presents: Routledge, 2018. http://dx.doi.org/10.4324/9781351018463-12.

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Unpingco, José. "Finite Impulse Response Filters." In Python for Signal Processing, 93–122. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01342-8_5.

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Sundararajan, D. "Finite Impulse Response Filters." In Digital Signal Processing, 189–249. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62368-5_6.

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Werner, Martin. "Finite-duration-impulse-response-Systeme." In Digitale Signalverarbeitung mit MATLAB®, 169–86. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-18647-0_8.

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Conference papers on the topic "Programmable finite impulse response"

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Pawlowski, Pawel, Adam Pawlikowski, Rafal Dlugosz, and Adam Dabrowski. "Programmable, switched-capacitor finite impulse response filter realized in CMOS technology for education purposes." In 2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). IEEE, 2018. http://dx.doi.org/10.23919/spa.2018.8563416.

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Tran, Kelvin, Jomo Edwards, Lloyd F. Linder, Christopher Gill, Matthias Bussmann, Salam Elahmadi, and Harry Tan. "A 50 dB Dynamic Range, 11.3 GSPS, programmable Finite Impulse Response (FIR) equalizer in 0.18µm SiGe BiCMOS technology for high speed Electronic Dispersion Compensation (EDC) applications." In 2009 IEEE Radio Frequency Integrated Circuits Symposium (RFIC). IEEE, 2009. http://dx.doi.org/10.1109/rfic.2009.5135595.

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Kim, Kwang H., and Bahram Shafai. "Finite impulse response estimator." In OE/LASE '90, 14-19 Jan., Los Angeles, CA, edited by Oliver E. Drummond. SPIE, 1990. http://dx.doi.org/10.1117/12.21607.

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Kim, K. "Finite impulse response estimator (FIRE)." In Signal and Data Processing of Small Targets 1990. SPIE, 1990. http://dx.doi.org/10.1117/12.2321780.

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Silveira, Paulo E. X., and Kelvin H. Wagner. "Optical finite impulse response neural networks." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Bahram Javidi and Demetri Psaltis. SPIE, 1999. http://dx.doi.org/10.1117/12.363977.

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Li, Junfeng, Jian Zhang, Shuichi Sakamoto, Yiti Suzuki, and Yonghong Yan. "An efficient finite-impulse-response filter model of head-related impulse response." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4800465.

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Jouaneh, Musa K., and Erik Anderson. "Input Shaping Using Finite Impulse Response Filters." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.376818.

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Pawlowski, Pawel, Rafal Dlugosz, and Adam Dabrowski. "Switched-capacitor finite impulse response rotator filter." In 2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). IEEE, 2020. http://dx.doi.org/10.23919/spa50552.2020.9241247.

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Yang, Maosheng, Elvin Isufi, Michael T. Schaub, and Geert Leus. "Finite Impulse Response Filters for Simplicial Complexes." In 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco54536.2021.9616185.

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Silveira, Paulo E. X., and Kelvin H. Wagner. "Optical Architecture for Finite Impulse Response Neural Networks." In Optics in Computing. Washington, D.C.: OSA, 1999. http://dx.doi.org/10.1364/oc.1999.othd5.

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