Relevant bibliographies by topics / Finite impulse response (FIR)filter

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

Academic literature on the topic 'Finite impulse response (FIR)filter'

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Published: 3 June 2025
Last updated: 22 June 2025

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Journal articles on the topic "Finite impulse response (FIR)filter"

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Krishna, Dr B. Vamsy, Siva Ganeshraju Sarikonda, and Jonnakuti Sharath Chandra. "Design and Implementation Low Pass FIR Digital Filter Using Windowing Techniques." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43943.

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A filter can need to have a certain frequency response, or a particular reaction to an impulse, step, or ramp, or mimic an analogue system. Digital filters can be categorised into Finite Impulse Response (FIR) filters & Infinite Impulse Response (IIR) filters depending on the system response. The thesis addresses FPGA low pass FIR filter design. Theoretical and experimental findings conducted FIR low pass filter point to the window design approach as very straightforward and user-friendly due to the presence of well-defined equation. Comparison indicated that the Direct-Form structure technique is simpler and performs better than other typical filter structures whereas Kaiser window gives the minimal main-lobe width and a sharp cut-off indicating smaller transition width. Experimental research of coefficient quantisation reveals a link between the frequency response, number of coefficients, and bit count. Key words: Digital Signal Processing (DSP),Finite Impulse Response (FIR) Filter, Low- Pass Filter, Verilog HDL, Windowing Techniques, Hamming Window, Hanning Window.
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Fursov, V. A. "Constructing a quadratic-exponential FIR-filter with an extended frequency response midrange." Computer Optics 42, no. 2 (2018): 297–305. http://dx.doi.org/10.18287/2412-6179-2018-42-2-297-305.

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This article is concerned with synthesizing filter with finite impulse response (FIR-filters) employed to correct radially symmetric distortions such as defocusing. We propose a new parametric class of finite impulse response filters (FIR-filters) based on a model of the one-dimensional radially symmetric frequency response. In the proposed method, the one-dimensional frequency response is composed of quadratic and exponential functions. The two-dimensional impulse response of the filter is constructed by sampling one-dimensional impulse responses for all directions. The development consists in introducing an extended mid-frequency region of the frequency response, thus increasing the contribution of the frequencies to image correction. Examples are given in order to illustrate the possibility of the high-quality distortion correction. In particular, it is shown that the proposed method provides the restoration quality higher than that obtained when using an optimal Wiener filter (taken from OpenCV).
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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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Wang, Zixuan. "Different Methods of Linear Phase IIR Filer Realization." Highlights in Science, Engineering and Technology 27 (December 27, 2022): 167–71. http://dx.doi.org/10.54097/hset.v27i.3739.

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Signal processing has become one of the most popular research topics. Researchers have designed a variety of digital filters to exclude unwanted random noises during the transmission or extract part of the signal in the desired range. There is a prevalent trend for digital filters to replace analog ones since they do not require hardwires. All the performances are operated on a single processor and are free from the effect of external factors. Finite impulse response (FIR) and infinite impulse response (IIR) filters in digital filters respectively provide infinite and finite impulse responses. In the application, it is preferred to have a linear phase digital filter, and FIR filters are naturally linear. However, FIR filters have higher orders and group delay than IIR filters, so researchers found various ways to implement linear phase IIR filters for improvement. This paper introduces and compares Powell and Chau Linear Phase IIR Filter, Kwan Linear Phase IIR Filter, and Xiao, Oliver, and Agathoklis Linear Phase IIR Filter.
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Kocoń, Sławomir, and Jacek Piskorowski. "Digital Finite Impulse Response Notch Filter with Non-Zero Initial Conditions, Based on an Infinite Impulse Response Prototype Filter." Metrology and Measurement Systems 19, no. 4 (2012): 767–76. http://dx.doi.org/10.2478/v10178-012-0068-x.

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Abstract In this paper a concept of finite impulse response (FIR) narrow band-stop (notch) filter with non-zero initial conditions, based on infinite impulse response (IIR) prototype filter, is proposed. The filter described in this paper is used to suppress power line noise from ECG signals. In order to reduce the transient response of the proposed FIR notch filter, optimal initial conditions for the filter have been determined. The algorithm for finding the length of the initial conditions vector is presented. The proposed values of the length of initial conditions vector, for several ECG signals and interfering frequencies, are calculated. The proposed filters are tested using various ECG signals. Computer simulations demonstrate that the proposed FIR filters outperform traditional FIR filters with initial conditions set to zero.
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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 (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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Neelam, Kumari *1 Priyanka Jaglan 2. "DESIGN OF FIR FILTER USING PSO: A REVIEW." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 283–86. https://doi.org/10.5281/zenodo.891698.

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Digital filters are devices which allow some frequencies to pass without being altered while completely blocking others. Mainly two types of digital filters are available: FIR (finite impulse response) and IIR (infinite impulse response). FIR filters are used in wide variety of applications due to their linear phase response and stability. Filter designing involves use of traditional non-optimization techniques that provides suboptimal results. In order to further enhance the efficiency of designed filter, a number of optimization techniques have been proposed. Particle Swarm Optimization (PSO) is one of such optimization algorithm. This paper presents a review of FIR filter designing using PSO.
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Kwon, Bokyu, and Sang-il Kim. "Recursive Optimal Finite Impulse Response Filter and Its Application to Adaptive Estimation." Applied Sciences 12, no. 5 (2022): 2757. http://dx.doi.org/10.3390/app12052757.

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In this paper, the recursive form of an optimal finite impulse response filter is proposed for discrete time-varying state-space models. The recursive form of the finite impulse response filter is derived by employing finite horizon Kalman filtering with optimally estimated initial conditions. The horizon initial state and its error covariance on the horizon are optimally estimated by using recent finite measurements, in the sense of maximum likelihood estimation, then initiating the finite horizon Kalman filter. The optimality and unbiasedness of the proposed filter are proved by comparison with the conventional optimal finite impulse response filter in batch form. Moreover, an adaptive FIR filter is also proposed by applying the adaptive estimation scheme to the proposed recursive optimal FIR filter as its application. To evaluate the performance of the proposed algorithms, a computer simulation is performed to compare the conventional Kalman filter and adaptive Kalman filters for the gas turbine aircraft engine model.
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Mousa, Wail A., Said Boussakta, Desmond C. McLernon, and Mirko Van der Baan. "Implementation of 2D explicit depth extrapolation FIR digital filters for 3D seismic volumes using singular value decomposition." GEOPHYSICS 75, no. 1 (2010): V1—V12. http://dx.doi.org/10.1190/1.3294424.

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We propose a new scheme for implementing predesigned 2D complex-valued wavefield extrapolation finite impulse response (FIR) digital filters, which are used for extrapolating 3D seismic wavefields. The implementation is based on singular value decomposition (SVD) of quadrantally symmetric 2D FIR filters (extrapolators). To simplify the SVD computations for such a filter impulse response structure, we apply a special matrix transformation on the extrapolation FIR filter impulse responses where we guarantee the retention of their wavenumber phase response. Unlike the existing 2D FIR filter implementation methods that are used for this geophysical application such as the McClellan transformation or its improved version, this implementation via SVD results in perfect circularly symmetrical magnitude and phase wavenumber responses. In this paper, we also demonstrate that the SVD method can save (depending on the filter size) more than 23% of the number of multiplications per output sample and approximately 62% of the number of additions per output sample when compared to direct implementation with quadrantal symmetry via true 2D convolution. Finally, an application to extrapolation of a seismic impulse is shown to prove our theoretical conclusions.
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Bukke, Balaji Naik, Kamsali Manjunathachari, and Srinivas Sabbavarapu. "Implementation of a Finite Impulse Response Filter using PUFs to Avoid Trojans." Engineering, Technology & Applied Science Research 13, no. 6 (2023): 12151–57. http://dx.doi.org/10.48084/etasr.6133.

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In the modern era of signal processing, digital filters play an important role in real-time applications such as communication, consumer electronics, digital signal processing, audio, etc. In digital filter design, Finite Impulse Response (FIR) filters are highly preferable due to their linear phase and inherent stability. These filters benefit from being time-invariant and simple to implement with minimal computational requirements. Therefore, the hardware security of FIR filters is essential for good performance and reliable results. On the other hand, there is the possibility of hardware threats, such as tampering, reverse engineering, hardware Trojans, etc., as the design of an FIR filter involves many stages. Such hardware attacks on FIR filters can cause several problems, including performance degradation, leakage of confidential information, lack of stability, etc. This study presents the design and implementation of a Trojan-aware FIR filter using Physical Unclonable Functions (PUFs). The key feature of PUFs is that they generate a unique and unpredictable response for each given challenge. In the proposed design, PUFs were used to generate the FIR filter coefficients that are unique and unpredictable by attackers/trojans to improve security. The security of FIR with PUF was tested using ML-based challenges, and the results showed approximately 30% more reliability and consistency compared to the FIR without PUFs.
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Dissertations / Theses on the topic "Finite impulse response (FIR)filter"

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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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<p>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. </p><p>The focus of the thesis was to implement filter structures that create FIR filters with as low power consumption and area as possible. </p><p>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.</p>
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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.<br>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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Akyurek, Sefa. "The Implementation Complexity Of Finite Impulse Response Digital Filters Under Different Coefficient Quantization Schemes And Realization Structures." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605586/index.pdf.

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It has been aimed to investigate the complexity of discrete-coefficient FIR filters when they are implemented in transposed form and the coefficient redundancy is removed by the n-Dimensional Reduced Adder Graph (RAG-n) approach. Filters with coefficients represented by different quantization schemes have been designed or selected from the literture<br>their transposed form implemetations after RAG-n process have been compared in terms of complexity. A Genetic Algorithm (GA) based design algorithm has been implemented and used for the design of integer coefficient filters. Algorithms for the realization of filter coefficients in Canonic Signed Digit (CSD) form and realization of n-Dimensional Reduced Adder Graph (RAG-n) have also been implemented. Filter performance is measured as Normalized Peak Ripple Magnitude and implementation complexity as the number of adders used to implement filter coefficients. Number of adders used to implement filter coefficients is calculated by using two different methods: CSD and RAG-n. RAG-n method has been applied to FIR digital filter design methods that don&rsquo<br>t consider reduction of implementation complexity via RAG-n with transposed direct form filter structure. For implementation complexity, it is concluded that &ldquo<br>RAG-n algorithm with transposed direct form filter structure&rdquo<br>provides better results over the &ldquo<br>CSD, SPT coefficient design followed by transposed direct form filter structure&rdquo<br>in terms of number of adders used in the implementation.
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Uzinski, Julio Cezar [UNESP]. "A state-space parameterization for perfect-reconstruction wavelet FIR filter banks with special orthonormal basis functions." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/146716.

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Submitted by JULIO CEZAR UZINSKI null (uzinski.jc@gmail.com) on 2016-12-15T21:43:22Z No. of bitstreams: 1 Uzinski JC.pdf: 2380247 bytes, checksum: 910b14a40501433136262e638e586b5f (MD5)<br>Approved for entry into archive by Felipe Augusto Arakaki (arakaki@reitoria.unesp.br) on 2016-12-20T16:20:21Z (GMT) No. of bitstreams: 1 uzinski_jc_dr_ilha.pdf: 2380247 bytes, checksum: 910b14a40501433136262e638e586b5f (MD5)<br>Made available in DSpace on 2016-12-20T16:20:21Z (GMT). No. of bitstreams: 1 uzinski_jc_dr_ilha.pdf: 2380247 bytes, checksum: 910b14a40501433136262e638e586b5f (MD5) Previous issue date: 2016-11-25<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)<br>Esta tese apresenta uma parametrização no espaço de estados para a transformada wavelet rápida. Esta parametrização é baseada em funções de base ortonormal e filtros de resposta finita ao impulso simultaneamente, uma vez que, a transformada rápida wavelet é um algoritmo que consiste em decompor sinais no domínio do tempo em sequências de coeficientes baseados numa base ortogonal de funções wavelet. Deste modo, vantagens apresentadas por ambas as propostas são incorporadas. Modelos de resposta finita ao impulso têm propriedades atrativas como vantagens computacionais e analíticas, garantia de estabilidade BIBO e robustez para a mudança de alguns parâmetros, dentre outras. Por outro lado, séries de funções de base ortonormal têm características que as fazem atrativas para a modelagem de sistemas dinâmicos, como ausência de recursão da saída, a não necessidade de se conhecer previamente a estrutura exata do vetor de regressão, possibilidade de aumentar a capacidade de representação do modelo aumentando-se o número de funções ortonormais utilizadas, desacoplamento natural das saídas em modelos multivariáveis; tolerância a dinâmicas não modeladas. Além disso, a realização no espaço de estados é mínima. A contribuição deste trabalho consiste no desenvolvimento de uma realização no espaço de estados para bancos de filtros wavelet, em que há a presença explícita de parâmetros que podem ser livremente ajustados mantendo as propriedades de reconstrução perfeita e ortonormalidade. Para ilustrar o funcionamento e as vantagens da técnica proposta, alguns exemplos de decomposição de sinais no contexto de processamento de sinais mostrando que ela proporciona os mesmos coeficientes wavelet que a transformada wavelet rápida, e uma aplicação em controle através de realimentação dinâmica de estados também são apresentados nesta tese.<br>This thesis presents a state-space parameterization for the fast wavelet transform. This parameterization is based on orthonormal basis functions and finite impulse response filters at the same time, since the fast wavelet transform is an algorithm, which converts a signal in the time domain into a sequence of coefficients based on an orthogonal basis of small finite wavelet functions. Advantages presented by both proposals are incorporated. Finite impulse response systems have attractive properties, for instance, computational and analytical advantages, BIBO stability and robustness guarantee to some parameter changes, and others. On the other hand, orthonormal basis functions have some characteristics that make them attractive for dynamic systems modeling, examples are, output recursion absence, not requiring prior regression vector exact structure knowledge; possibility of increasing the model representation capacity by increasing the number of orthonormal functions employed; natural outputs uncoupling in multivariable models; tolerance to unmodeled dynamics, and others. Furthermore, the state-space realization is minimal. The contribution of this work consists in the development of a state-space realization for a wavelet filter bank, with the explicit presence of the parameters that can be freely adjusted, keeping perfect-reconstruction and orthonormality guarantees. In order to illustrate advantages and how the proposed technique works, some decomposition examples in signal processing context are presented showing that it provides the same wavelet coefficients as the fast wavelet transform, and an application on dynamic state feedback control is also presented in this thesis.<br>CNPq: 160545/2013-7
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Uzinski, Julio Cezar. "A state-space parameterization for perfect-reconstruction wavelet FIR filter banks with special orthonormal basis functions /." Ilha Solteira, 2016. http://hdl.handle.net/11449/146716.

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Orientador: Francisco Villarreal Alvarado<br>Resumo: Esta tese apresenta uma parametrização no espaço de estados para a transformada wavelet rápida. Esta parametrização é baseada em funções de base ortonormal e filtros de resposta finita ao impulso simultaneamente, uma vez que, a transformada rápida wavelet é um algoritmo que consiste em decompor sinais no domínio do tempo em sequências de coeficientes baseados numa base ortogonal de funções wavelet. Deste modo, vantagens apresentadas por ambas as propostas são incorporadas. Modelos de resposta finita ao impulso têm propriedades atrativas como vantagens computacionais e analíticas, garantia de estabilidade BIBO e robustez para a mudança de alguns parâmetros, dentre outras. Por outro lado, séries de funções de base ortonormal têm características que as fazem atrativas para a modelagem de sistemas dinâmicos, como ausência de recursão da saída, a não necessidade de se conhecer previamente a estrutura exata do vetor de regressão, possibilidade de aumentar a capacidade de representação do modelo aumentando-se o número de funções ortonormais utilizadas, desacoplamento natural das saídas em modelos multivariáveis; tolerância a dinâmicas não modeladas. Além disso, a realização no espaço de estados é mínima. A contribuição deste trabalho consiste no desenvolvimento de uma realização no espaço de estados para bancos de filtros wavelet, em que há a presença explícita de parâmetros que podem ser livremente ajustados mantendo as propriedades de reconstrução perfeita e ortonormalidade. ... (Resumo completo, clicar acesso eletrônico abaixo)<br>Doutor
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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<br>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.<br>Ph.D.<br>Doctorate<br>Electrical Engineering and Communication<br>Engineering<br>Electrical Engineering<br>41 p.<br>vii, 41 leaves, bound : ill. ; 28 cm.
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Antonakoudi, Anixi. "Interpolation techniques for unsupervised deconvolution of FIR and IIR systems." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271616.

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Talej, Elie N. "A VLSI design of a finite impulse response low-pass digital filter." Ohio : Ohio University, 1988. http://www.ohiolink.edu/etd/view.cgi?ohiou1182871591.

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Rajagopal, Ravikiran. "An algebraic view of multidimensional multiple-input multiple-output finite impulse response equalizers." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1070398845.

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Húserka, Jozef. "Návrh reverberátoru pro simulaci akustiky prostoru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220649.

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This thesis deals with artificial simulation of acoustic spaces by using reverberators. Output of this document consists of four reverberation algorithms and function that evaluates objective parameters of acoustic space from impulse responses. Reverberators and script were implemented using Matlab. Graphical user interface is used to present all of the algorithms for easier usability. First chapter deals with objective parameters of acoustic spaces and the ways they are computed from impulse response. Second chapter describes various structures which are used to build reverberators. Those structures are used in third chapter in implementations of reverberators. Third chapter also compares all implemented reverberators . In last chapter experiment was made. Impulse responses of three spaces were measured and subsequently aproximated by algorithms implemented in this thesis.
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Books on the topic "Finite impulse response (FIR)filter"

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

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Book chapters on the topic "Finite impulse response (FIR)filter"

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Gopi, E. S. "Finite Impulse Response Filter (FIR Filter)." In Multi-Disciplinary Digital Signal Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57430-1_3.

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Palani, S. "Finite Impulse Response (FIR) Filter Design." In Principles of Digital Signal Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96322-4_4.

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

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Palani, S. "Design of Finite Impulse Response (FIR) Digital Filters." In Discrete Time Systems and Signal Processing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32421-5_5.

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Pale-Ramon, E. G., Y. S. Shmaliy, L. J. Morales-Mendoza, and M. González Lee. "Finite Impulse Response (FIR) Filters and Kalman Filter for Object Tracking Process." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3927-3_66.

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Berthoumieu, Yannick. "Two-Dimensional Finite Impulse Response Filter Design." In Digital Filters Design for Signal and Image Processing. ISTE, 2010. http://dx.doi.org/10.1002/9780470612064.ch9.

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Rivas-Lalaleo, David, Sergio Muñoz-Romero, Monica Huerta, et al. "Comparison of Infinite Impulse Response (IIR) and Finite Impulse Response (FIR) Filters in Cardiac Optical Mapping Records." In Communications in Computer and Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71503-8_16.

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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. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3284-9_23.

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Conference papers on the topic "Finite impulse response (FIR)filter"

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Joshi, Mayuresh Madhav, Ankur Beohar, Shambhavi Awasthi, Prashant GK, and Pallabi Sarkar. "Datapath Optimization of Digital Finite Impulse Response (FIR) Filter for Aerospace Applications." In 2024 First International Conference on Data, Computation and Communication (ICDCC). IEEE, 2024. https://doi.org/10.1109/icdcc62744.2024.10961829.

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Sushchenko, Olha, Yurii Bezkorovainyi, Oleksander Salyuk, and Oleksander Zhdanov. "Adaptive Finite Impulse Response Filter Based on Time Delay Neural Network." In 2024 IEEE 19th International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH). IEEE, 2024. http://dx.doi.org/10.1109/memstech63437.2024.10620046.

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Sattiraju, Suraj Siddharth, and Venkata Krishna Odugu. "FPGA-Based Finite Impulse Response Filter Architecture Design with Distributed Arithmetic Logic to Reduce Power and Area." In 2024 IEEE Region 10 Symposium (TENSYMP). IEEE, 2024. http://dx.doi.org/10.1109/tensymp61132.2024.10751818.

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Geiger, Benedikt, Fred Buchali, Vahid Aref, and Laurent Schmalen. "A Novel Phenomenological Model of Equalization-enhanced Phase Noise." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.m2e.6.

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We show that equalization-enhanced phase noise manifests as a time-varying, frequency-dependent phase error, which can be modeled and reversed by a time-varying all-pass finite impulse response filter.
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Jhawar, Anshul, Pranav Ginde, Pushkar Patwardhan, and Vikram M. Gadre. "Coding gain optimized finite impulse response (FIR) Paraunitary (PU) filter banks." In 2010 National Conference On Communications (NCC). IEEE, 2010. http://dx.doi.org/10.1109/ncc.2010.5430199.

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Garimella, Rama Murthy. "Finite Impulse Response (FIR) Filter Model of Synapses: Associated Neural Networks." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.910.

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Turcajova, Radka. "Linear phase paraunitary finite impulse response (FIR) filter banks: a complete characterization ." In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, edited by Andrew F. Laine and Michael A. Unser. SPIE, 1994. http://dx.doi.org/10.1117/12.188804.

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Sokol, T. M., I. J. Gupta, and E. H. Newman. "Finite impulse response (FIR) filters to simulate response of an antenna." In 2006 IEEE Antennas and Propagation Society International Symposium. IEEE, 2006. http://dx.doi.org/10.1109/aps.2006.1710649.

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Zhou, Shiying, and Masayoshi Tomizuka. "Vibration Suppression Based on Adaptive Feedforward Control With Infinite Impulse Response Filter." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9752.

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This paper presents adaptive feedforward control for vibration suppression based on an infinite impulse response (IIR) filter structure. The vibration signal and the output signal are available for the algorithm to adaptively update the parameters of the vibration transmission path (VTP) dynamics. Two designs for parameter adaptation are proposed. They provide different methods to get the necessary signals for parameter adaptation of the IIR filter which is different from the conventional finite impulse response (FIR) filter adaptation design. Performance of the proposed designs is compared with the conventional Filtered-x Least Mean Square (FxLMS) method on a hard disk drive (HDD) benchmark problem. The simulation results show that the proposed designs have smaller 3σ value and peak to peak value at steady state.
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Mayer, Dirk, Sven Herold, and Holger Hanselka. "Application of Kautz Models for Adaptive Vibration Control." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/ad-23725.

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Abstract Both for active noise control (ANC) and active vibration control (AVC) the well known F-X-LMS-algorithm can be used. This approach requires a proper model of the path from the actuator to the error sensor, preferably received with an on-line identification. In the field of ANC adaptive finite impulse response (FIR) filters work well for this task, but for lightly damped mechanical systems with long impulse responses FIR filters with up to several thousand coefficients would have to be used. One alternative are adaptive IIR filters, but these can get unstable while adapting or the adapting process can get stuck in local minima. In this work, adaptive Kautz models are introduced, which need some a priori knowledge about the poles of the system. On the other hand, they represent an infinite impulse response while maintaining the transversal structure of the adaptive filter. This is reached by generalization of the FIR filter, for which the delay operator is substituted by discrete allpass filters, the Kautz filters. The adaptive filter bank is implemented by means of the straightforward LMS algorithm in the Matlab/Simulink environment. As an example, system identification with Kautz models and their usage in AVC for a simple mechanical system will be studied.
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