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Journal articles on the topic 'Digital IIR filter'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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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.

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2

PERIŠIĆ, DJURDJE M. "NEW KIND OF IIR DIGITAL FILTERS INTENDED FOR PULSE PERIOD FILTERING." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 69, no. 1 (2024): 61–66. http://dx.doi.org/10.59277/rrst-ee.2024.1.11.

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This paper describes a new kind of infinite impulse response (IIR) digital filter designed for pulse period filtering. The IIR digital filter is designed using a third-order IIR frequency locked loop (IIR FLL), which is based on the time measurement and processing of both, the input and output periods. A general form of the difference equation describing this type of IIR FLL of any order is developed and compared with the corresponding difference equation of classical digital filters. The mathematical analyses in the time domain were performed using the Z transform approach and the theory of l

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3

Parameshappa, G., and D. Jayadevapp. "Efficient uniform digital filter bank with linear phase and FRM technique for hearing aids." International Journal of Engineering & Technology 7, no. 1.9 (2018): 69. http://dx.doi.org/10.14419/ijet.v7i1.9.9738.

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This paper attempts to present an uniform digital filter bank based on linear phase FIR and IIR filters applied for Frequency Response Masking (FRM) technique in hearing aid applications.In the proposed filter bank, nine uniformly spaced sub-bands are formed with the help of half band filters and masking filters. These nine channel FIR filter bank is realized using an interpolated half band linear phase FIR filter and an appropriate number of masking FIR filters. The nine channel IIR filter bank is realized using an interpolated half band approximately linear phase IIR filter and an appropriat

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4

Mewada, Hiren K., and Jitendra Chaudhari. "Low computation digital down converter using polyphase IIR filter." Circuit World 45, no. 3 (2019): 169–78. http://dx.doi.org/10.1108/cw-02-2019-0015.

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Purpose The digital down converter (DDC) is a principal component in modern communication systems. The DDC process traditionally entails quadrature down conversion, bandwidth reducing filters and commensurate sample rate reduction. To avoid group delay, distortion linear phase FIR filters are used in the DDC. The filter performance specifications related to deep stopband attenuation, small in-band ripple and narrow transition bandwidth lead to filters with a large number of coefficients. To reduce the computational workload of the filtering process, filtering is often performed as a two-stage

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Murdika, Umi, and Yessi Mulyani. "Perancangan Dan Simulasi Filter IIR Menggunakan Graphical User Interface (GUI)." Electrician 11, no. 3 (2018): 114–18. http://dx.doi.org/10.23960/elc.v11n3.2060.

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Intisari--- Pada makalah ini telah disajikan metode mensimulasikan filter IIR menggunakan GUI. Metode ini tidak hanya tergantung pada kode matlab, tetapi juga menampilkan control penggunaan yang dibangun berdasarkan GUI, sehingga semua operasi pemfilteran dapat diselesaikan oleh GUI. Makalah ini menggunakan metode Pole-zero placement, Impulse invariant, Matched z-transform , dan Bilinear z-transfor dalam merealisasikan filter IIR dan untuk sebagai contoh untuk merancang filter low-pass, high-pass and band-pass. Dari simulasi menunjukkan bahwa perancangan berdasrkan GUI ini sangatlah nyaman, ce

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Mirkovic, Dejan, Miona Andrejevic-Stosovic, Predrag Petkovic, and Vanco Litovski. "Design of IIR digital filters with critical monotonic passband amplitude characteristic: A case study." Facta universitatis - series: Electronics and Energetics 29, no. 2 (2016): 269–83. http://dx.doi.org/10.2298/fuee1602269m.

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A case study is reported related to the design of IIR digital filters exhibiting critical monotonic amplitude characteristic (CMAC) in the pass band. This kind of amplitude characteristic offers several advantages as compared to its non-monotonic counterparts, although it has not been studied thoroughly so far, if at all. After giving a short overview of the way of CMACs generation, arguments will be listed in favor of the IIR version of the digital filter function realization. Next, the IIR implementation of the digital filters will be considered in short. The main part of the paper will be d

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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 de

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8

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 sampli

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9

Bujjibabu P. "Optimizing Integrated Circuit Applications with Digital IIR Filtering Architectures." Communications on Applied Nonlinear Analysis 31, no. 8s (2024): 01–11. http://dx.doi.org/10.52783/cana.v31.1442.

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In this research, a high-performance IIR filter for low-power DSP applications is implemented and realized using a MATLAB system generator. There are numerous ways to implement IIR filters, including the Direct Form-I(DF-I), Direct Form-II(DF-II), Cascade, and Parallel Forms. All of these structures offer a selection area for a suitable realization that will decrease power consumption and increase the speed of digital filters. This particular work uses a Xilinx FPGA device to implement a 5th order Low pass IIR filter in DF-I, DF-II, and Cascade Form (DF-I/DF-II). Cascade (Direct Form-I) realiz

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Yue, Dachao, and Haikuan Liu. "The Design Of Intelligent Filter For EEG." MATEC Web of Conferences 232 (2018): 04023. http://dx.doi.org/10.1051/matecconf/201823204023.

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EEG data processing method is usually digital filter designed by the traditional method. Its disadvantage is the transition zone is wide and the filtering effect is poor. Using an improved particle swarm optimization algorithm on IIR digital filters design, the performances of filters designed by various methods are compared and analyzed. Experiments illustrate particle swarm optimization algorithm is effective in IIR filter design and its performance is promising.

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11

Su, Te-Jen, Tsang-Chi Yang, Wen-Pin Tsai, and Jia-Wei Liu. "Design Two-Dimensional IIR Filters Based on Clonal Selection Algorithm with Singular Value Decomposition." Research Letters in Signal Processing 2007 (2007): 1–5. http://dx.doi.org/10.1155/2007/32081.

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In this letter, clonal selection algorithm (CSA) with singular value decomposition (SVD) method is investigated for the realization of two-dimentional (2D) infinite-impulse response (IIR) filters with arbitrary magnitude responses. The CSA is applied to optimize the sampled frequencies of transition band of digital filters, then producing a planar response matrix of a 2D IIR digital filter. By using the SVD, 2D magnitude specifications can be decomposed into a pair of 1D filters, and thus the problem of designing a 2D digital filter can be reduced to the one of designing a pair of 1D digital f

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12

Hayati, Raisah, Ipan Suandi, and Milawarni Milawarni. "Analisis Performansi Filter Digital IIR untuk Menghilangkan Noise pada Sinyal Suara." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 21, no. 1 (2024): 40–43. https://doi.org/10.30811/litek.v21i1.34.

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Pada proses pengiriman informasi dalam sistem komunikasi selalu terdapat gangguan atau noise. Sifat noise yang acak dan tersebar pada semua frekuensi, tidak dapat dihilangkan seluruhnya namun dapat diminimalisir. Untuk meminimalisir noise biasanya digunakan filter. Filter didefinisikan sebagai sistem atau rangkaian yang melewatkan pita freuensi tertentu yang diinginkan dan meredam pita frekuensi lainnya. Dalam penelitian ini penulis menggunakan filter digital IIR, karena filter digital IIR memiliki respon impulse berdurasi tak hingga sehingga dapat dicocokkan dengan filter analog. Filter digit

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13

Wang, Chun Mei, and Wei Cai Xiao. "Second-Order IIR Notch Filter Design and Implementation of Digital Signal Processing System." Applied Mechanics and Materials 347-350 (August 2013): 729–32. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.729.

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In this paper the AC power 50Hz power interference, we use IIR digital notch filter method for industrial frequency interference filter. From the design of IIR digital filter method proceed with, on the IIR digital notch filter simulation, the algorithm deduced, on the fixed-point DSP programming method and overflow handling problems made elaborate incisively, and in digital audio signal processing system has been applied.

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14

V., Rajendra Chary, Shiva Kumar M., Ramakrishna Raju A., and Sandhya M. "Design and Analysis of Digital IIR, Fir Bandpass Filter using DSK6713 Kit." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 371–75. https://doi.org/10.35940/ijeat.C5145.029320.

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A digital filter is advantageous over analog filter. Some of its advantages are less complexity, flexibility, portability when compared with analog filters. In this paper, the design of digital IIR and FIR band pass filter is done using DSK6713 hardware kit, the software used is code composer studio 6.0.1. This code composer studio 6.0.1 is used to write the code in c language, which is then dumped on to DSK6713 kit, fda tool of matlab is used for designing coefficients for IIR and FIR filter. Further, the detailed design steps are illustrated in this paper.

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15

Zhang, Kui, Gong Liu Yang, Wei Zhen Zheng, and Ren Dong Ma. "Digital Signal Processing Approach of Dithered RLG Based on IFIR Digital Filter." Advanced Materials Research 989-994 (July 2014): 4195–99. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4195.

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An interpolated finite impulse response (IFIR) digital filter approach was purposed to improve the demerits of traditional finite impulse response (FIR) digital filter in the case of noise attenuation for dithered Ring Laser Gyroscope (RLG). Concentrated on the time delay and computation complexity, a comparison of FIR and IIR digital filter was illustrated. By optimizing the stretch factor L, an IFIR digital filter was designed to reach the requirements of a typical RLG. The static experiment results show that the impulse number is decreased from 250 to below 0.15, attenuation of the dither n

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16

Zhang, Hui, Kun Yang, Si Ming He, and Jun Li. "Design of IIR Digital Filter Based on FPGA." Applied Mechanics and Materials 427-429 (September 2013): 1968–71. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1968.

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From the request of practical applications,according to the basic theory of IIR filters, a scheme of hardware implementation is worked out combining with the fact that coefficients of numerator and denominator of transfer function are fixed and the structural feature of selected FPGA. From the clew of implementing stratified ,modularized and parameterized design ,the thesis describes the hardware implementation of the IIR filter with VHDL and schematic diagram design method.

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17

Hamad, Rasha W. "Design and FPGA implementation of 11th order Efficient IIR Wavelet Filter Banks with Approximate Linear-phase." Academic Journal of Nawroz University 7, no. 4 (2018): 207. http://dx.doi.org/10.25007/ajnu.v7n4a291.

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In this paper. Bireciprocal Lattice Wave Digital Filters (BLWDFs) are utilized in an approximate linear-phase in pass-band design of order IIR wavelet filter banks (FBs). These filter banks are efficiently designed by replacement one of branches for (BLWDFs) by only a unit delay. The coefficients of the designed filter are achieved by simulating the IIR response suggested in [1]. The design is first simulated using Matlab programming in order to investigate the resulting wavelet filter properties and to find the suitable wordlength for the BLWDFs coefficients. FPGA implemtation of the proposed

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Hamad, Rasha W. "Design and FPGA implementation of 11th order Efficient IIR Wavelet Filter Banks with Approximate Linear-phase." Academic Journal of Nawroz University 7, no. 4 (2018): 207. http://dx.doi.org/10.25007/ajnu.v7n4a301.

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In this paper. Bireciprocal Lattice Wave Digital Filters (BLWDFs) are utilized in an approximate linear-phase in pass-band design of order IIR wavelet filter banks (FBs). These filter banks are efficiently designed by replacement one of branches for (BLWDFs) by only a unit delay. The coefficients of the designed filter are achieved by simulating the IIR response suggested in [1]. The design is first simulated using Matlab programming in order to investigate the resulting wavelet filter properties and to find the suitable wordlength for the BLWDFs coefficients. FPGA implemtation of the proposed

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19

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 c

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Horváth, Dušan, Zuzana Červeňanská, and Janette Kotianová. "Digital Implementation of Butterworth First–Order Filter Type IIR." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 27, no. 45 (2019): 85–93. http://dx.doi.org/10.2478/rput-2019-0030.

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Abstract The paper deals with the solution of the first–order passive filters (low–pass and high–pass) applying electrotechnical elements (resistor, capacitor - analogue filter) and digital Butterworth filter type IIR (Infinite Impulse Response). Procedure of the filters design and implementation is described, and the analogue and digital filter outputs with the same input signal are compared. The designed filters have already served for education purposes with the intention to bring an explanation of techniques for designing required functionality of the signal processing filters.

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Ohnmar, Win. "IIR Filter Design for De Nosing Speech Signal using Matlab." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 4–8. https://doi.org/10.31142/ijtsrd21576.

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The design of filter has become the core issues of the signal processing. Generally speaking, filter can be divided into analog filter and digital filter. Today, the development of analog filter has been more mature. However, digital filter has many advantages, such as higher stability, higher precision. With the development of digital technology, using digital technology to realize filter function is widely used. A MATLAB based digital filter design procedure designs the filter and applied to the voice signal. In this project, the recorded speech with simulated noises is processed. The speech

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22

Omar, Abdussalam, Dale Shpak, and Panajotis Agathoklis. "Nearly Linear-Phase 2-D Recursive Digital Filters Design Using Balanced Realization Model Reduction." Signals 4, no. 4 (2023): 800–815. http://dx.doi.org/10.3390/signals4040044.

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This paper presents a new method for the design of separable-denominator 2-D IIR filters with nearly linear phase in the passband. The design method is based on a balanced realization model reduction technique. The nearly linear-phase 2-D IIR filter is designed using 2-D model reduction from a linear-phase 2-D FIR filter, which serves as the initial filter. The structured controllability and observability Gramians Ps and Qs serve as the foundation for this technique. onal positive-definite matrices that satisfy 2-D Lyapunov equations. An efficient method is used to compute these Gramians by mi

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Bui, H. H. "The Application of LQG Balanced Truncation Algorithm to the Digital Filter Design Problem." Engineering, Technology & Applied Science Research 12, no. 6 (2022): 9458–63. http://dx.doi.org/10.48084/etasr.5235.

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This paper presents a method for using a model reduction algorithm to design low-order digital filters. Designing an IIR digital filter that meets the specifications often leads to a high-order digital filter. To reduce the computation time and increase the response rate of the filter, we need to reduce the order of the high-order digital filter. Applying the LQG balanced truncation algorithm to reduce the demand for high-order digital filters shows that low-order filters can completely replace high-order digital filters. The simulation results show that the use of the LQG balanced truncation

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24

Joelianto, Endra. "On Minimal Second-order IIR Bandpass Filters with Constrained Poles and Zeros." Journal of Engineering and Technological Sciences 53, no. 4 (2021): 210401. http://dx.doi.org/10.5614/j.eng.technol.sci.2021.53.4.1.

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In this paper, several forms of infinite impulse response (IIR) bandpass filters with constrained poles and zeros are presented and compared. The comparison includes the filter structure, the frequency ranges and a number of controlled parameters that affect computational efforts. Using the relationship between bandpass and notch filters, the two presented filters were originally developed for notch filters. This paper also proposes a second-order IIR bandpass filter structure that constrains poles and zeros and can be used as a minimal parameter adaptive digital second-order filter. The propo

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Li, Qi Rui, Ming Ming Jiang, Bing Luo, Xiao Ping Hu, and Kang Hua Tang. "Design of Fast Second-Order IIR Low-Pass Filter Based on Parameter Optimization." Applied Mechanics and Materials 644-650 (September 2014): 4382–86. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4382.

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Second-order IIR low-pass filter is widely used in digital signal processing. A fast filter algorithm without multiplication is proposed for it in this paper. A configuration method for the filter coefficient of fast algorithm is put forward, considering the characteristic of second-order IIR low-pass filter coefficient and the filter’s mathematical model. A performance analysis of fast second-order IIR low-pass filter without multiplication is shown in the paper, and the performance of the fast filter is shown by example using MATLAB simulation. What’s more, the algorithm’s rapidity is verifi

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Tittelbach-Helmrich, Klaus. "Digital DC blocker filters." Frequenz 75, no. 9-10 (2021): 331–39. http://dx.doi.org/10.1515/freq-2020-0177.

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Abstract This paper mathematically investigates a special kind of digital infinite-impulse response (IIR) filters, suitable for filtering out very low frequencies near zero from digital signals. We investigate the transfer functions of such filters from 1st to 3rd order and provide formulas to calculate the filter coefficients from the desired cutoff frequency.

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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 s

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Sidhu, D. S., J. S. Dhillon, and Dalvir Kaur. "Design of Digital IIR Filter with Conflicting Objectives Using Hybrid Gravitational Search Algorithm." Mathematical Problems in Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/282809.

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In the recent years, the digital IIR filter design as a single objective optimization problem using evolutionary algorithms has gained much attention. In this paper, the digital IIR filter design is treated as a multiobjective problem by minimizing the magnitude response error, linear phase response error and optimal order simultaneously along with meeting the stability criterion. Hybrid gravitational search algorithm (HGSA) has been applied to design the digital IIR filter. GSA technique is hybridized with binary successive approximation (BSA) based evolutionary search method for exploring th

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Kennedy, Hugh L. "Digital Filter Designs for Recursive Frequency Analysis." Journal of Circuits, Systems and Computers 25, no. 02 (2015): 1630001. http://dx.doi.org/10.1142/s0218126616300014.

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Digital filters for recursively computing the discrete Fourier transform (DFT) and estimating the frequency spectrum of sampled signals are examined, with an emphasis on magnitude-response and numerical stability. In this tutorial-style treatment, existing recursive techniques are reviewed, explained and compared within a coherent framework; some fresh insights are provided and new enhancements/modifications are proposed. It is shown that the replacement of resonators by (non-recursive) modulators in sliding DFT (SDFT) analyzers with either a finite impulse response (FIR), or an infinite impul

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Mondal, Dipannita Debasish, and Mukil Alagirisamy. "A Detailed Study on IIR-FIR Filters and Design of a Graphical User Interface for Simulation of EEG Signals." Research Journal of Computer Systems and Engineering 4, no. 2 (2023): 216–25. http://dx.doi.org/10.52710/rjcse.89.

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Electroencephalography (EEG) plays a pivotal role in accepting brain activity and identifying neurological disorders. The precise analysis and explanation of EEG signals require the solicitation of digital signal processing techniques, such as Infinite Impulse Response (IIR) as well as Finite IJmpulse Response (FIR) filters. This paper investigates into a complete exploration of IIR-FIR filters and their application in EEG signal processing. The first part of this research paper involves a detailed examination of IIR and FIR filter types, their mathematical foundations, pros, and cons. Various

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Pan, Shing-Tai. "CSD-Coded Genetic Algorithm on Robustly Stable Multiplierless IIR Filter Design." Mathematical Problems in Engineering 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/560650.

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A Canonic-Signed-Digit-(CSD-) coded genetic algorithm (GA) is proposed to find the optimal design of robustly stable infinite impulse response digital filter (IIR). Under the characteristics of the CSD structure, the circuit of the filter can be simplified and also the calculation speed can be raised to increase the hardware’s efficiency. However, the design of CSD has a big challenge: the CSD structure of the system parameters will be destroyed by an optimal design procedure. To solve this problem, in this research a CSD-coded GA is proposed so that the CSD structure can be maintained. Moreov

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Nofa, Widya Khafa, and Dewi Anggraini Puspa Hapsari. "Perbandingan Filter Shen-Castan, Canny-Deriche dan Madenda untuk Citra Digital dengan Gangguan Blur." ICIT Journal 7, no. 1 (2021): 110. http://dx.doi.org/10.33050/icit.v7i1.1451.

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Dengan adanya gangguan noise, dapat mengakibatkan informasi dalam suatu citra menjadi tidak jelas. Selain itu jika noise muncul pada area tepian objek dapat mengakibatkan tepian dari objek menjadi buram dan tidak beraturan serta memungkinkan terjadi pergeseran posisi tepi. Sehingga diperlukan penghilangan atau penghalusan noise pada citra digital tersebut. Filter IIR adalah jenis filter yang memiliki sistem feedfoward dan feedback sekaligus. Hal ini berarti hasilkeluaran dari IIR tidak hanya tergantung pada data sesaat dan data sebelumnya tetapi juga tergantung pada hasil perhitungan sebelumny

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Chang, Wei-Der. "A Modified PSO Algorithm for IIR Digital Filter Modeling." Journal of Circuits, Systems and Computers 27, no. 05 (2018): 1850073. http://dx.doi.org/10.1142/s0218126618500731.

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Modeling for an unknown plant is a very important and primary task in the control system engineering. By using this established model, an adequate controller can be further designed to meet certain control specifications. This paper will propose a new modeling method which is based on the infinite impulse response (IIR) digital filter structure. A modified particle swarm optimization (PSO) with multiple subpopulations is utilized to solve for the IIR filter coefficients to model an unknown digital system. The developed PSO algorithm is able to overcome the multimodal error surface problem that

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Melzer, Alexander, Andreas Pedross, and Manfred Mücke. "Holistic Biquadratic IIR Filter Design for Communication Systems Using Differential Evolution." Journal of Electrical and Computer Engineering 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/741251.

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Digital IIR filter implementations are important building blocks of most communication systems. The chosen number format (fixed-point, floating-point; precision) has a major impact on achievable performance and implementation cost. Typically, filter design for communication systems is based on filter specifications in the frequency domain. We consider IIR filter design as an integral part of communication system optimisation with implicit filter specification in thetime domain(via symbol/bit error rate). We present a holistic design flow with the system's bit error rate as the main objective.

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Saponjic, Djordje, and Vojislav Arandjelovic. "Realization of a digital rate meter as an IIR digital filter by implementing an optimized signal processing algorithm." Nuclear Technology and Radiation Protection 24, no. 2 (2009): 126–31. http://dx.doi.org/10.2298/ntrp0902126s.

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By applying the well known dualism: mean count rate - mean time between successive pulses - the equivalence between an IIR digital filter and a preset count digital rate meter has been demonstrated. By using a bank of four second order IIR filters and an optimized automated algorithm for filter selection, a practical realization of a preset count rate meter giving good tradeoff between statistical fluctuations and speed of response, particularly at low count rates such as background monitoring, is presented. The presented solution is suitable for designing portable count rate meters. The desig

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K, Aparna, Vasantharaj A, Sudipta Ghosh, and Bhumika Choksi. "DEVELOPMENT OF HIGH-PERFORMANCE ANALOG AND DIGITAL FILTER FOR BIOMEDICAL SIGNAL PROCESSING." ICTACT Journal on Microelectronics 9, no. 2 (2023): 1539–44. https://doi.org/10.21917/ijme.2023.0268.

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Electromyography (EMG) is a valuable biomedical signal used to study the electrical activity of muscles, providing crucial insights into neuromuscular disorders, motor control, and rehabilitation therapies. However, EMG signals are inherently contaminated with noise and artifacts, challenging the accurate extraction of relevant information. This paper presents a novel approach for enhancing EMG signals using an Infinite Impulse Response (IIR) filter. The IIR filter design was carefully tailored to meet the specific requirements of EMG signal processing, including the extraction of electromyogr

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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

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BURBELO, Mykhailo, Denys LEBED, and Oleksandr LESHCHENKO. "OPTIMIZATION OF CHARGE / DISCHARGE TIME OF ACTIVE FILTER CAPACITORS DURING VOLTAGE FLUCTUATIONS." Herald of Khmelnytskyi National University. Technical sciences 309, no. 3 (2022): 119–24. http://dx.doi.org/10.31891/2307-5732-2022-309-3-119-124.

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A voltage regulator on capacitors has been developed for the control circuit of a parallel active filter based on dq-theory with a block of sliding averaging current in the current control circuit i_d. It contains a delay unit, a digital low-pass filter of the first order FIR or IIR (depending on the variant of the considered scheme) and the unit “sgn”, which stabilizes the output signal. The voltage control circuit on the capacitor can be implemented entirely in digital signal processing and used instead of the analog PID controller, which is much more effective if you need to adapt the circu

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BURBELO, Mykhailo, Denys LEBED, and Oleksandr LESHCHENKO. "OPTIMIZATION OF CHARGE / DISCHARGE TIME OF ACTIVE FILTER CAPACITORS DURING VOLTAGE FLUCTUATIONS." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (2022): 58–63. http://dx.doi.org/10.31891/2307-5732-2022-311-4-58-63.

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A voltage regulator on capacitors has been developed for the control circuit of a parallel active filter based on dq-theory with a block of sliding averaging current in the current control circuit i_d. It contains a delay unit, a digital low-pass filter of the first order FIR or IIR (depending on the variant of the considered scheme) and the unit “sgn”, which stabilizes the output signal. The voltage control circuit on the capacitor can be implemented entirely in digital signal processing and used instead of the analog PID controller, which is much more effective if you need to adapt the circu

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Kušljević, Miodrag D., Vladimir V. Vujičić, Josif J. Tomić, and Predrag D. Poljak. "IIR Cascaded-Resonator-Based Complex Filter Banks." Acoustics 5, no. 2 (2023): 535–52. http://dx.doi.org/10.3390/acoustics5020032.

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The use of a filter bank of IIR filters for the spectral decomposition and analysis of signals has been popular for many years. As such, a new filter-bank resonator-based structure, representing an extremely hardware-efficient structure, has received a good deal of attention. Recently, multiple-resonator (MR)-based and general cascaded-resonator (CR)-based filters have been proposed. In comparison to single-resonator-based analyzers, analyzers with a higher multiplicity of resonators in the cascade provide lower side lobes and a higher attenuation in stopbands. In previous works, it was shown

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Kumar, Vinay, and Sunil Bhooshan. "Design of One-Dimensional Linear Phase Digital IIR Filters Using Orthogonal Polynomials." ISRN Signal Processing 2012 (October 16, 2012): 1–7. http://dx.doi.org/10.5402/2012/870276.

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In the present paper, we discuss a method to design a linear phase 1-dimensional Infinite Impulse Response (IIR) filter using orthogonal polynomials. The filter is designed using a set of object functions. These object functions are realized using a set of orthogonal polynomials. The method includes placement of zeros and poles in such a way that the amplitude characteristics are not changed while we change the phase characteristics of the resulting IIR filter.

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Saha, S. K., Rajib Kar, D. Mandal, and S. P. Ghoshal. "Digital Stable IIR Band Pass Filter Design Using Seeker Optimization Technique." Advanced Materials Research 905 (April 2014): 406–10. http://dx.doi.org/10.4028/www.scientific.net/amr.905.406.

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This paper presents a novel, control parameter independent evolutionary search technique known as Seeker Optimization Algorithm (SOA) for the design of a eighth order Infinite Impulse Response (IIR) Band Pass (BP) filter. A new fitness function has also been adopted in this paper to improve the stop band attenuation to a great extent. The performance of the SOA based IIR BP filter design has proven to be much superior as compared to those obtained by real coded genetic algorithm (RGA) and standard particle swarm optimization (PSO) in terms of highest sharpness at cut-off, smallest pass band ri

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Pushpalatha, P., and K. Babulu. "Design and implementation of systolic architecture based FIR filter." i-manager's Journal on Digital Signal Processing 10, no. 1 (2022): 17. http://dx.doi.org/10.26634/jdp.10.1.18852.

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In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Digital filters are mainly divided into Infinite Impulse Response (IIR) filters and Finite Impulse Response (FIR) filters. FIR filters are mostly used in applications like image processing, communications, Digital Signal Processing (DSP) etc. One of the most used filters for designing of VLSI circuits is FIR filter. Systolic architecture is a Processing Element (PE) network that generates and passes data rhythmically through the system. The concept of systolic architecture can

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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 tech

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Zhou, Yue, Xiao Xiao Yao, Jin Xiang Pian, and Yan Qiang Su. "Band-Stop Filter Algorithm Research Based on Nano-Displacement Positioning System." Applied Mechanics and Materials 380-384 (August 2013): 697–700. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.697.

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This paper proposed the algorithms of infinite impulse response (IIR) band-stop filter and all-pass filter to eliminate the inherent frequency for piezoelectric ceramics and improve the control precision for nanodisplacement positioning system. The IIR algorithm was composed of five steps (such as the determination of normalized frequency, filter orders and transfer functions of analog low-pass filter, analog band-stop filter and digital band-stop filter). Based on the experimental simulation results on the nanodisplacement positioning platform, the butterworth band-stop filter algorithm can a

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Avalos, Omar, Erik Cuevas, Jorge Gálvez, Essam H. Houssein, and Kashif Hussain. "Comparison of Circular Symmetric Low-Pass Digital IIR Filter Design Using Evolutionary Computation Techniques." Mathematics 8, no. 8 (2020): 1226. http://dx.doi.org/10.3390/math8081226.

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The design of two-dimensional Infinite Impulse Response (2D-IIR) filters has recently attracted attention in several areas of engineering because of their wide range of applications. Synthesizing a user-defined filter in a 2D-IIR structure can be interpreted as an optimization problem. However, since 2D-IIR filters can easily produce unstable transfer functions, they tend to compose multimodal error surfaces, which are computationally difficult to optimize. On the other hand, Evolutionary Computation (EC) algorithms are well-known global optimization methods with the capacity to explore comple

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Caroline, Caroline, Nabila Husna Shabrina, Melania Regina Ao, Nadya Laurencya, and Vanessa Lee. "Analisis Aplikasi Filter FIR dan Filter IIR dalam Pra-pemrosesan Sinyal Elektroensefalografi." Ultima Computing : Jurnal Sistem Komputer 12, no. 1 (2020): 40–48. http://dx.doi.org/10.31937/sk.v12i1.1621.

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Abstract – Electroencephalography (EEG) is a method used to analyze brain activities, detect abnormalities in brain, and diagnose brain-related disease. To extract information from EEG signal, preprocessing steps such as Fast Fourier Transform (FFT), filter, and wavelet decomposition will be needed. This paper primarily focuses on implementation of Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filter design in EEG signal preprocessing in MATLAB software. The result of the simulation indicates that each filter design implemented in EEG preprocessing has different performance

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Omar, Abdussalam, Dale Shpak, Panajotis Agathoklis, and Belaid Moa. "A Nonlinear Optimization Design Algorithm for Nearly Linear-Phase 2D IIR Digital Filters." Signals 4, no. 3 (2023): 575–90. http://dx.doi.org/10.3390/signals4030030.

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In this paper, a new optimization method for the design of nearly linear-phase two-dimensional infinite impulse (2D IIR) digital filters with a separable denominator is proposed. A design framework for 2D IIR digital filters is formulated as a nonlinear constrained optimization problem where the group delay deviation in the passband is minimized under prescribed soft magnitude constraints and hard stability requirements. To achieve this goal, sub-level sets of the group delay deviations are utilized to generate a sequence of filters, from which the one with the best performance is selected. Th

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Du, Chang Jiang, Tian Qiang Du, and Wei Liu. "Development of Digital Filter Software in Auto Safety Components Test." Advanced Materials Research 983 (June 2014): 428–35. http://dx.doi.org/10.4028/www.scientific.net/amr.983.428.

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In auto safety components crash test, noise and interference signals is inevitable in the collected physical data, which will seriously affect the accuracy of the data. In this paper, the advantages and disadvantages are compared between IIR filters and FIR filters, a Butterworth filter is designed using the impulse response invariant method, and a filtering software is developed to meet the need of data processing for different measurement projects. The results showed that: according to different test data, the filter can achieve CFC filtering of different frequency levels, exclude interferen

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Stamenković, Negovan, Nikola Stojanović, and Goran Perinić. "Group Delay Equalization of Polynomial Recursive Digital Filters in Maximal Flat Sense." Journal of Circuits, Systems and Computers 28, no. 10 (2019): 1950173. http://dx.doi.org/10.1142/s0218126619501731.

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The paper presents the development of an algorithm to obtain stable allpass filter, which acts as a group delay equalizer, with the aim to equalize group delay of the polynomial IIR filter in a maximal flat sense. The proposed method relies on a set of nonlinear equations, derived directly from the flatness conditions of the group delay response at the origin in the [Formula: see text]-plane, with the order to obtain the unknown values of the allpass filter coefficients. The algorithm implemented in the MATLAB platform returns the coefficients of allpass filter. In the given example, first we

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