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Relevant bibliographies by topics / Infinite impulse response (IIR) filter

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Academic literature on the topic 'Infinite impulse response (IIR) filter'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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Journal articles on the topic "Infinite impulse response (IIR) filter"

1

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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PERIŠIĆ, DJURDJE. "GENERALIZATION OF THE TIME INFINITE IMPULSE RESPONSE DIGITAL FILTERS." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 69, no. 3 (2024): 327–32. http://dx.doi.org/10.59277/rrst-ee.2024.69.3.12.

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This work describes the generalization of a new kind of infinite impulse response (IIR) digital filter to filter the pulse signal periods. This kind of digital filter was designed using the previously designed frequency-locked loops (FLL), which are based on the time measurement and processing of both the input and output periods. FLL is a linear discrete system. Starting from the general form of difference equation of the IIR FLL digital filter of the third and fourth orders, the transfer functions and Z transform of the outputs are developed for the IIR FLL digital filter of any order. To demonstrate the capabilities and utility of the general equations, they were applied to design a suitable IIR digital filter using a fourth-order FLL. The filtering abilities and the analyses in the frequency domain of the designed low pass IIR digital filter are demonstrated using the theory of IIR digital filter and the corresponding MATLAB tools. Analyses of the fourth-order IIR FLL digital filter were also performed in the time domain using computer simulation in MATLAB.

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Kwan, Chiman, and Hal Ferguson. "A Fresh Revisit of the Issues and Improvements in Impulse Invariance Filter Design for Infinite Impulse Response Filters." Electronics 13, no. 18 (2024): 3753. http://dx.doi.org/10.3390/electronics13183753.

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The objective of this paper is to first present some issues with impulse invariance filter (IIF) design during the design of digital infinite impulse response (IIR) filters. Engineers are often confused about some inconsistent observations. For instance, if the impulse response of a digital filter is designed using the impulse invariance procedure, then the analog and digital filters’ frequency and step responses are very different. Two simple remedies are presented in this paper. One is a post-processing approach that scales the frequency and step responses of the digital filter by the sampling interval T. Another one is a pre-processing approach that scales the impulse response of the analog filter by T. However, even after these remedies, there is still a steady state bias in the step response of the digital filter for certain cases where there is discontinuity in the analog impulse response. A recommendation is to include a correction term in the digital filter. After that, the steady state bias in the digital filter is then suppressed. Moreover, the MATLAB R2021a command “impinvar” needs to also include a correction term so that the frequency and step responses can be more accurate in the digital filter. Two comparative studies were carried out to compare the improved IIF filter with three competing digital IIR filter design methods. Although the above issues and improvements have been proposed by researchers in the past, many researchers, engineers, and students are still not aware of them. This paper provides a fresh revisit of these issues and improvements by using figures, equations, and examples. Proper credits are also given to those researchers who first pointed out those issues and improvements. It is hoped that through an open access journal, future rediscovery of issues and improvements in IIF can be prevented.

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Singh, S. K., A. Muhammad, I. Umaru, et al. "COMPUTATIONAL ANALYSIS OF BUTTERWORTH AND CHEBYSHEV-I FILTERS USING BILINEAR TRANSFORMATION." International Journal of Research -GRANTHAALAYAH 10, no. 6 (2022): 37–56. http://dx.doi.org/10.29121/granthaalayah.v10.i6.2022.4571.

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Due to the intense demands in advanced telecommunications during the last fifteen years for both higher spectrum band and better accuracy, the digital Infinite Impulse Response (IIR) filter has emerged as the basic component in both digital telecommunication and Digital Signal Processing (DSP) systems. In our research work reported in this paper we conducted meticulous investigation using computer simulation of the digital Infinite Impulse Response (IIR) filter to implement the Butterworth and Chebyshev I procedure with bilinear transformation algorithm aimed at both statistical analysis and computer simulation. Our simulation results reveal the comparative accuracy between digital filters and analog filters of the spectrum response in: i) absolute magnitude, ii) the magnitude in decibels (dB) and iii) phase. Conversely the filter selectivity and gain in decibel scale were numerically obtained.

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Islamiyah, Murni Sri Rahayu, Rachmad Saptono, and Hadiwiyatno Hadiwiyatno. "Implementasi Metode Transformasi Biliniear Pada Filter Digital Infinite Impulse Response (IIR) Menggunakan Raspberry Pi." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 11, no. 1 (2021): 37–43. http://dx.doi.org/10.33795/jartel.v11i1.28.

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Proses pengiriman informasi selalu terdapat gangguan atau noise, sifat noise tidak dapat dihilangkan namun dapat diminimalisir. Dalam penelitian ini penulis menggunakan Filter Digital IIR dikarenakan filter IIR memiliki impulse berdurasi tak hingga sehingga dapat dicocokkan dengan filter analog yang juga memiliki respon impuls durasi tak hingga.Pada penelitian ini akan dirancang Filter Digital IIR menggunakan metode transformasi bilinier dengan respon filter butterworth, chebyshev tipe 1 dan chebyshev tipe 2 pada MATLAB. MATLAB code digunakan untuk membuat program design filter sesuai dengan spesifikasi yang telah dibuat. MATLAB Simulink digunakan untuk membuat design block filter untuk di implementasikan pada Raspberry Pi. Raspberry pi digunakan sebagai perangkat untuk memproses filter tersebut. Hasil dari running MATLAB code dan juga Simulink dibandingkan untuk melihat apakah hasil implementasi sama dengan hasil program.Dari hasil pengujian dapat diketahui hasil respon frekuensi pada berbagai jenis filter yang digunakan pada pengujian sesuai dengan karakteristik masing-masing filter. Jenis filter yang baik digunakan pada filter digital IIR adalah filter Butterworth dan filter Chebyshev 2 karena pada passband tidak terdapat ripple. Jenis filter yang tidak baik digunakan pada filter digita IIR adalah filter Chebyshev 1. Pengaruh perubahan ripple terhadap nilai orde yaitu semakin kecil nilai ripple semakin besar nilai orde yang dihasilkan. Pengaruh perubahan attenuasi stopband yaitu semakin attenuasi stopband semakin kecil orde yang dihasilkan.

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Jacinta, Potsangbam1 and Manoj Kumar2. "DESIGN AND IMPLEMENTATION OF COMBINED PIPELINING AND PARALLEL PROCESSING ARCHITECTURE FOR FIR AND IIR FILTERS USING VHDL." International Journal of VLSI design & Communication Systems (VLSICS) Vol 10, No 4, August 2019 10, no. 4 (2019): 01–16. https://doi.org/10.5281/zenodo.3387030.

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Along with the advancement in VLSI (Very Large Scale Integration) technology, the implementation of Finite impulse response (FIR) filters and Infinite impulse response (IIR) filters with enhanced speed has become more demanding. This paper aims at designing and implementing a combined pipelining and parallel processing architecture for FIR and IIR filter using VHDL (Very High Speed Integrated Circuit Hardware Descriptive Language) to reduce the power consumption and delay of the filter.  The proposed architecture is compared with the original FIR and IIR filter respectively in terms of speed, area, and power. Also, the proposed architecture is compared with existing architectures in terms of delay. The implementation is done by using VHDL codes. FIR and IIR filters structures are implemented at 1200 KHz clock frequency. Synthesis and simulation have been accomplished on Artix-7 series FPGA, target device (xc7a200tfbg676) (speed grade -1) using VIVADO 2016.3. 

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Akansha, Singh, Bansal Riya, and Anand Jatti Dr. "Explaining IIR Filter Using Orthogonal Polynomials and Classical Functions." Journal of Advances in Computational Intelligence Theory 7, no. 1 (2024): 1–8. https://doi.org/10.5281/zenodo.13746265.

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<em>This paper presents a streamlined approach to Infinite Impulse Response (IIR) filter design by combining the orthogonal polynomial method with classical analog filter functions such as Butterworth, Chebyshev, and Elliptic filters. The proposed method leverages the mathematical precision of orthogonal polynomials to achieve linear phase characteristics, while classical filter functions are used to refine the frequency response. This dual approach simplifies the design process, ensuring filter stability and effectiveness with minimal computational overhead. The resulting IIR filters offer a balance of simplicity, accuracy, and performance, making them suitable for a wide range of signal processing applications.</em> <strong><em> </em></strong>

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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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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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Guo, Yan, Shi Dan Li, and De Sheng Wang. "Research of Sea Clutter Suppression Algorithm Based on GPU." Applied Mechanics and Materials 239-240 (December 2012): 1194–201. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1194.

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This paper presents an algorithm of sea clutter suppression using graphics processing unit (GPU) to meet the real-time requirement in the general radar terminal system. The main idea is to convert an infinite impulse response (IIR) filter to a finite impulse response (FIR) filter, which is suitable for the parallelization processing of GPU. Finally, the converted FIR filter algorithm is implemented on the GPU efficiently, achieving a speed approximately twice as fast as that of the previous IIR filter algorithm implemented on the CPU.

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Dissertations / Theses on the topic "Infinite impulse response (IIR) filter"

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Nicolson, Laurence John. "The design of IIR digital filters to magnitude and delay specifications." Thesis, University of Liverpool, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320608.

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Jangsri, Venus. "Infinite impulse response notch filter." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23269.

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Approved for public release; distribution is unlimited<br>A pipeline technique by Loomis and Sinha has been applied to the design of recursive digital filters. Recursive digital filters operating at hitherto impossibly high rates can be designed by this technique. An alternate technique by R. Gnanasekaran allows high speed implementation using the state-space structure directly. High throughput is also achieved by use of pipelined multiply-add modules. The actual hardware complexity will depend upon the number of pipeline stages. These techniques are used for the design of the I IR notch filter and finally, a comparison of the performance and complexity of these two techniques is presented.<br>http://archive.org/details/infiniteimpulser00jang<br>Lieutenant, Royal Thai Navy

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Garcia, Lorca Federico. "Filtres récursifs temps réel pour la détection de contours : optimisations algorithmiques et architecturales." Paris 11, 1996. http://www.theses.fr/1996PA112439.

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Dans cette thèse on s'intéresse à deux aspects différents : conceptuel et réalisationel, sur lesquels portent les quatre innovations présentées. Si celles-ci sont illustrées par une application au détecteur de contours de Deriche, elles sont facilement généralisables à d'autres détecteurs qu'ils soient basés sur le calcul de maxima locaux de la dérivée première, ou le calcul des passages par zéro du laplacien. Les filtres à réponse impulsionnelle infinie symétriques ou anti-symétriques peuvent être réalisés sous forme cascade. Le filtre de lissage peut être défini par intégration numérique du filtre dérivateur optimal. Tout filtre détecteur de contours à noyau large peut être considéré comme un filtre de lissage bidimensionnel à noyau large suivi d'un simple filtre Sobel. L’utilisation d'opérateurs blocs série offre le meilleur compromis surface rapidité pour l'intégration en ASICS ou FPGAS. Nous proposons une architecture câblée temps réel optimale en compacité et simplicité de la version récursive du filtre détecteur de contours de Deriche. Nous exposons la méthode qui conduit à notre solution. A travers cette expérience, nous souhaitons transmettre aux concepteurs d'outils de CAO un certain nombre d'idées qui doivent à notre avis être exploitées afin que des outils tels que les graphes flots de données ou les langages synchrones assistent efficacement l'architecte dans les problèmes d'ordonnancement, d'allocation et de repliement temporel du graphe vers l'architecture.

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Sklar, Alexander Gabriel. "Channel Modeling Applied to Robust Automatic Speech Recognition." Scholarly Repository, 2007. http://scholarlyrepository.miami.edu/oa_theses/87.

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In automatic speech recognition systems (ASRs), training is a critical phase to the system?s success. Communication media, either analog (such as analog landline phones) or digital (VoIP) distort the speaker?s speech signal often in very complex ways: linear distortion occurs in all channels, either in the magnitude or phase spectrum. Non-linear but time-invariant distortion will always appear in all real systems. In digital systems we also have network effects which will produce packet losses and delays and repeated packets. Finally, one cannot really assert what path a signal will take, and so having error or distortion in between is almost a certainty. The channel introduces an acoustical mismatch between the speaker's signal and the trained data in the ASR, which results in poor recognition performance. The approach so far, has been to try to undo the havoc produced by the channels, i.e. compensate for the channel's behavior. In this thesis, we try to characterize the effects of different transmission media and use that as an inexpensive and repeatable way to train ASR systems.

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Joshi, Yashwant Vasantrao. "On the design of infinite impulse response(IIR) digital notch filters." Thesis, 1997. http://localhost:8080/xmlui/handle/12345678/5527.

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Chien, Chih-Kuang, and 簡志光. "Adjustable Coefficient Infinite Impulse Response Filter Design." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/43196847099406395227.

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碩士<br>中原大學<br>電子工程研究所<br>93<br>Nowadays, most communication systems employed digital filters. Among many kinds of filters, FIR filter is much easier to be controlled than others. However, the drawback of the FIR filter is that the latency is too long. The latency is a main weakness in an FIR design. Many designers hope that the latency can be shortened. Therefore, the IIR filter is gradually adopted because it has much shorter latency. However, the zero point of the IIR filter is close to the unit circle. Thus, the control character of IIR is discrete instead of convergent. This thesis is aimed to design a parameter adjustable IIR filter. It reduces the latency of the IIR filter to be 21 clock cycles for the five tiers filter. This filter can be combined with DSP or RISC to be a whole IP of SOC or ASIC so that the entire system is more efficient.

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Chu, David T. S., and 朱道生. "Subband Audio Coding using Infinite-Impulse-Response Filter Banks." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/95394598889053196128.

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碩士<br>國立臺灣科技大學<br>電子工程學系<br>84<br>A subband coding method for high-quality digital audio signals using infinite impulse response (IIR) filter bank is described. For the reason of achieving low bit rates at a high quality level, we use the simultaneous multiple-target masking effect of the human ear. This effect is used in an adaptive bit allocation scheme which is called "optimal bit-allocation" in this paper. The quantization error power is maximized but inaudible and the bit usage is minimized when the optimal bit- allocation is being applied. In this paper, we use the weighted least-square algorithm to obtain approximately linear phase allpass filter coefficients. By using this allpass filter, we constructed an approximately linear phase two-channel perfect reconstruct IIR filter bank, then put it into a tree structure to construct a 32-channel perfect reconstruct filter bank. We may also use the weighted least-square method described in this paper to obtain stable equiripple allpass filters which have user-specified phase response. This kind of allpass filter can be used as a phase equalizer or filter transformer. The method described in this paper is capable of coding digital audio signal without audible differences between the original and reconstructed signals. The bit rate of this method is either at least one seventh of which the compact disk signal has or at any user-given fixed rate.

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Cheng, Kuei-Teng, and 鄭貴騰. "A Study of Adaptive Filter Applied to the Infinite Impulse Response System." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/24343785368656266496.

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碩士<br>國立臺北科技大學<br>電機工程系碩士班<br>92<br>This thesis is focused on the performance analysis of adaptive filter applied to the modeling of unknown infinite impulse response (IIR) systems. When an unknown system that is characterized by infinite impulse response is being identified, we can employ a high-order impulse response adaptive filter to approximate it by using equation error method or adaptive delay filter method due to their better performance. Instead of the well-known least mean square (LMS) algorithm, the recursive least square (RLS) algorithm is exploited in the experiment. The experimental results show that optimal nearest solution of each tap-weight in the system can be obtained only after a few times of iteration. Besides, in order to figure out empirical criteria and useful references, the convergence process of learning curve, the way to get delay-taps, and the differences of tap-weights between the unknown system and the proposed adaptive filter are thoroughly investigated and compared.

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Ng, George Chung Fai. "Distributed Circuit Techniques for Equalization of Short Multimode Fiber Links." Thesis, 2008. http://hdl.handle.net/1807/11156.

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Electronic dispersion compensation (EDC) of intermodal dispersion on short multimode fiber (MMF) links operating at 40 Gb/s is investigated through system level simulations and the design of two analog integrated circuit (IC) equalizers. System simulations using worst-case MMF link models show the effectiveness of a 2-tap baud spaced finite impulse response (FIR) equalizer for 40-m links, and a second-order Tbaud/2 infinite impulse response (IIR) equalizer for 50-m links. An IIR filter topology suitable for IC implementation with double loops and multiple delay sections was developed. The 2-tap FIR and the IIR equalizer are implemented in UMC 0.13-um and STM 90-nm CMOS processes respectively. Measurements demonstrate the FIR and IIR equalizing 38-Gb/s and 30-Gb/s cable channels respectively. To the author's knowledge, the double-loop multi-delay IIR equalizer is the first integrated traveling-wave equalizer utilizing poles as a means of frequency boosting, contrasting the conventional FIR technique of utilizing zeros.

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Siao, Siang-Min, and 蕭翔民. "New Moduli Set {2^(2n), 2^(n)+1, 2^(n)-1} of Residue Number System and VLSI Design of Infinite Impulse Response Filter." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/58901684659696258900.

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碩士<br>國立雲林科技大學<br>電子與資訊工程研究所<br>99<br>In this paper the focus is using our new three moduli set - {22n, 2n +1, 2n-1} to constitute the residue number system (RNS) to deal with external input digital signal. Because along with electronic products digitizing tendency, many systems include DSP algorithms for various applications, such as digital filter, spectrum analysis, image compression and processing, fault tolerant etc. These applications always require a large number of arithmetic computations in loop, and have to be implemented as VLSI chip for achieving real-time and low-power operations. However, the engineers are gradually recognizing that the binary system with long bit-width will degrade the whole hardware performance due to carry propagation. Many design engineers may consider the RNS for hardware architecture design because it possesses carry-free and parallel merits. By the synthesis, our residue-to-binary converter compare with [25-30], we can get the analysis that the corresponding conversion time and power consumption would save 50%, 28% at least. Besides, the mainly factors (power, delay, area) multiply of the synthesis results, it can be confirmed, our performance can save 56%, 59%, 63% when DR at 32-bits, 64-bits, 128-bits.After the HDL simulations and logic synthesis by TSMC 0.18μm process in DR 32-bits, the chip area is 1035.5*940 (μm2), and its operation speed can achieve 100 MHz .And we will application to 3-set RNS IIR architecture.

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Books on the topic "Infinite impulse response (IIR) filter"

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Jangsri, Venus. Infinite impulse response notch filter. Naval Postgraduate School, 1988.

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Book chapters on the topic "Infinite impulse response (IIR) filter"

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Gopi, E. S. "Infinite Impulse Response (IIR) Filter." In Multi-Disciplinary Digital Signal Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57430-1_2.

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Meyer-Baese, Uwe. "Infinite Impulse Response (IIR) 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_4.

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Mayer-Baese, Uwe. "Infinite Impulse Response (IIR) 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_4.

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Meyer-Baese, Uwe. "Infinite Impulse Response (IIR) 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_4.

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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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Esakkirajan, S., T. Veerakumar, and Badri N. Subudhi. "Infinite Impulse Response Filter." In Digital Signal Processing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6752-0_8.

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Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, and Lennart Ljung. "Regularization in Reproducing Kernel Hilbert Spaces for Linear System Identification." In Regularized System Identification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_7.

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AbstractIn the previous parts of the book, we have studied how to handle linear system identification by using regularized least squares (ReLS) with finite-dimensional structures given, e.g., by finite impulse response (FIR) models. In this chapter, we cast this approach in the RKHS framework developed in the previous chapter. We show that ReLS with quadratic penalties can be reformulated as a function estimation problem in the finite-dimensional RKHS induced by the regularization matrix. This leads to a new paradigm for linear system identification that provides also new insights and regularization tools to handle infinite-dimensional problems, involving, e.g., IIR and continuous-time models. For all this class of problems, we will see that the representer theorem ensures that the regularized impulse response is a linear and finite combination of basis functions given by the convolution between the system input and the kernel sections. We then consider the issue of kernel estimation and introduce several tuning methods that have close connections with those related to the regularization matrix discussed in Chap. 10.1007/978-3-030-95860-2_3. Finally, we introduce the notion of stable kernels, that induce RKHSs containing only absolutely summable impulse responses and study minimax properties of regularized impulse response estimation.

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Jampana, Bangarraju, Rajagopal Veramalla, and Surender Reddy Salkuti. "Infinite Impulse Response Peak Filter with Salp Swarm Optimization Technique for Improvement of DVR Reliability." In Energy and Environmental Aspects of Emerging Technologies for Smart Grid. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-18389-8_14.

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Hasrifah, Halida, Muhammad Ridha Mak’ruf, Andjar Pudji, et al. "Effectiveness Analysis of Infinite Impulse Response Digital Filter on Electrocardiogram Signal to Extract Respiration Rate Signal." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0248-4_41.

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Lai, Edmund. "Infinite impulse response (IIR) filter design." In Practical Digital Signal Processing. Elsevier, 2003. http://dx.doi.org/10.1016/b978-075065798-3/50007-2.

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Conference papers on the topic "Infinite impulse response (IIR) filter"

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Hamza, Hatem L., Ivan A. Hashim, and Najmah A. Habeeb. "Speed Maximization of First Order Infinite Impulse Response Filter Based on FPGA." In 2023 International Conference on Engineering Applied and Nano Sciences (ICEANS). IEEE, 2023. http://dx.doi.org/10.1109/iceans58413.2023.10630466.

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Lee, Joo-Hyung, Kwang-Yeun Park, Changbin Joh, Ji-Young Choi, and Imjong. "A New Solenoid-Type Sensor for Nondestructive Stress Estimation in Prestressed Steel Strands." In IABSE Congress, San José 2024: Beyond Structural Engineering in a Changing World. International Association for Bridge and Structural Engineering (IABSE), 2024. https://doi.org/10.2749/sanjose.2024.1071.

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<p>In this study, we introduce a novel solenoid-type sensor for nondestructively estimating stress in prestressed steel strands through magnetic Barkhausen noise (MBN) measurements. The sensor features a unique dual-coil system: one coil induces a magnetic field, and the other coil detects changes in magnetic flux. This is particularly advantageous in civil engineering, where steel strands are often covered with protective materials, rendering traditional contact-based MBN sensors, commonly used in railway and mechanical engineering, ineffective. Limitations due to the skin effect control the frequency of current in the magnetic-field inducing coil, while the characteristics of MBN determine the sampling rate of the detection coil. An infinite impulse response filter is proposed for extracting MBN from the signals, and the root mean square (RMS) value is employed to assess the intensity of the MBN. Laboratory tests on a 15.2 mm diameter seven-wire steel strand demonstrate a clear correlation between the stress in the steel strand and the RMS of MBN. This correlation mirrors findings from earlier studies using contact-type sensors and suggests that the newly developed solenoid-type MBN sensor can effectively estimate the prestressing stress in steel strands within ducts.</p>

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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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Halikias, G. D., and I. M. Jaimoukha. "Design of Infinite Impulse Response (IIR) filters with almost linear phase characteristics." In 2003 European Control Conference (ECC). IEEE, 2003. http://dx.doi.org/10.23919/ecc.2003.7086504.

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Mokhtari, A., K. Jamshidi, and M. Akbari. "Reconfigurable infinite impulse response (IIR) microwave-photonic filter with controllable selectivity using tunable delay line." In 2012 Second Conference on Millimeter-Wave and Terahertz Technologies (MMWaTT). IEEE, 2012. http://dx.doi.org/10.1109/mmwatt.2012.6532162.

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Rheza Andika, F., Ahmad Al Afif, and Putri Wulandari. "Design GUI Filter Infinite Impulse Response (IIR) for Noise Reduction While Real-Time Using Labview." In 2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, 2021. http://dx.doi.org/10.1109/comnetsat53002.2021.9530789.

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Singh Sidhu, Balraj, and J. S. Dhillon. "Higher Order Optimal Stable Digital IIR Filter Design Using Heuristic Optimization." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2222.

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This paper proposes the innovative methodologies for the robust and stable design of optimal stable digital infinite impulse response (IIR) filters using different mutation variants of hybrid differential evolution (HDE). A multivariable optimization is employed as the design criterion to obtain the optimal stable IIR filter that satisfies the different performance requirements like minimizing the magnitude approximation error and minimizing the ripple magnitude. HDE method is undertaken as a global search technique and exploratory search is exploited as a local search technique. The proposed different mutation variants of HDE method enhance the capability to explore and exploit the search space locally as well globally to obtain the optimal filter design parameters. The chance of starting with better solution is improved by comparing the opposite solution. Here HDE has been effectively applied for the design of higher order optimal stable band-pass, and band-stop digital IIR filters. The experimental results depict that proposed HDE methods are superior or at least comparable to other algorithms and can be efficiently applied for higher order IIR filter design.

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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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Qian Guo, Jun Wang, and Hao Ma. "Frequency adaptive repetitive controller for grid-connected inverter with an all-pass infinite impulse response (IIR) filter." In 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE). IEEE, 2014. http://dx.doi.org/10.1109/isie.2014.6864662.

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Chen, YangQuan, Blas M. Vinagre, and Igor Podlubny. "A New Discretization Method for Fractional Order Differentiators via Continued Fraction Expansion." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48391.

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In this contribution, to discretize the fractional order differentiators in continuous time domain, a new IIR (infinite impulse response) type digital fractional order differentiator (DFOD) is proposed by using a new family of first order digital differentiators expressed in the second order IIR filter form. The integer first order digital differentiators are obtained by the stable inversion of the weighted sum of Simpson integration rule and the trapezoidal integration rule. The distinguishing point of the proposed DFOD lies in an additional tuning knob to compromise the high frequency approximation accuracy.

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