Relevant bibliographies by topics / Digital IIR filter

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

Academic literature on the topic 'Digital IIR filter'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Digital 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.
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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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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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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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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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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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Dissertations / Theses on the topic "Digital IIR filter"

1

Krukowski, Artur. "Flexible IIR digital filter design and multipath realisation." Thesis, University of Westminster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322993.

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Sundaralingam, Sathiaseelan. "Evolving optimal IIR and adaptive filters." Thesis, University of Glasgow, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300977.

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Hall, M. C. "Adaptive IIR filter algorithms for real-time applications." Thesis, University of Liverpool, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234800.

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Kaake, Fadi M. "A VLSI-nMOS hardware implementation of an IIR bandpass orthogonal digital filter." Ohio : Ohio University, 1986. http://www.ohiolink.edu/etd/view.cgi?ohiou1183133214.

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Yin, Shishu, and 殷仕淑. "New design and factorization methods for perfect reconstruction causalstable IIR filter banks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38674592.

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Yin, Shishu. "New design and factorization methods for perfect reconstruction causal stable IIR filter banks." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B38674592.

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Grossman, Hy, and Steve Pellarin. "A Time Correlated Approach to Adaptable Digital Filtering." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604156.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>Signal conditioning is a critical element in all data telemetry systems. Data from all sensors must be band limited prior to digitization and transmission to prevent the potentially disastrous effects of aliasing. While the 6th order analog low-pass Butterworth filter has long been the de facto standard for data channel filtering, advances in digital signal processing techni
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Schoerner, Sven-Markus, and Erik Zakrisson. "Audioeffects with digital soundprocessing." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-3777.

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<p>To effectively demonstrate the strength of using digital signal processing when producing sound effects, a sound effects demo is used at the lectures of the course TSRT78, Digital signal processing, which is given at the university in Linköping.</p><p>The amount of effects, that in an instructive way can be used for an educational purpose, are many and the existing version of the sound effects demo is somewhat limited in its range of effects.</p><p>This reports main focus lies in the presentation of what kind of effects which can be interesting in this kind of demo. All of the effects are p
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Joshi, Rimesh M. "Analog and Digital Array Processor Realization of a 2D IIR Beam Filter for Wireless Applications." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1326776749.

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Gullapalli, Sai Krishna. "Wave-Digital FPGA Architectures of 4-D Depth Enhancement Filters for Real-Time Light Field Image Processing." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1574443263497981.

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Books on the topic "Digital IIR filter"

1

T, Smith Mark J., and United States. National Aeronautics and Space Administration., eds. Spatially-varying IIR filter banks for image coding. National Aeronautics and Space Administration, 1992.

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T, Smith Mark J., and United States. National Aeronautics and Space Administration., eds. Spatially-varying IIR filter banks for image coding. National Aeronautics and Space Administration, 1992.

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T, Smith Mark J., and United States. National Aeronautics and Space Administration., eds. Spatially-varying IIR filter banks for image coding. National Aeronautics and Space Administration, 1992.

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İzzet, Kale, ed. DSP system design: Complexity reduced IIR filter implementation for practical applications. Kluwer Academic Publishers, 2003.

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R, Dougherty Edward, Astola Jaakko, Egiazarian K. 1959-, IS & T--the Society for Imaging Science and Technology., and Society of Photo-optical Instrumentation Engineers., eds. Image processing: Algorithms and systems III : 19-21 January 2004, San Jose, California, USA. SPIE, 2004.

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Ingalsbe, Lon. Using computers and application software: Featuring VP-planner, dBase III/III Plus, and WordPerfect. Merrill Pub. Co., 1989.

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Mandell, Steven L. Computers and information processing: A complete course with dBASE III Plus, WordPerfect 4.2, and VP-Expert. West Pub., 1989.

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Archer, Russell. Programming SmartWare II: A guide to learning programming through the powerful SmartWare II programming language. Prentice Hall, 1991.

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Archer, Russell. Programming SmartWare II: A guide to learning programming through the powerful SmartWare II programming language. Prentice Hall, 1992.

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Mandell, Steven L. Computers and information processing: Concepts and applications, with BASIC. 6th ed. West Pub. Co., 1992.

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Book chapters on the topic "Digital IIR filter"

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Rao, K. Deergha, and M. N. S. Swamy. "IIR Digital Filter Design." In Digital Signal Processing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8081-4_5.

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Jackson, Leland B. "IIR Filter Design by Transformation." In Digital Filters and Signal Processing. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2458-5_8.

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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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Jackson, Leland B. "IIR Filter Design by Transformation." In Digital Filters and Signal Processing. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-3262-0_8.

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Hinamoto, Takao, and Wu-Sheng Lu. "Block-State Realization of IIR Digital Filters." In Digital Filter Design and Realization. River Publishers, 2022. http://dx.doi.org/10.1201/9781003337904-17.

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Chandel, Prachisingh, and Sandra D’Souza. "Digital Filter Designing: Minimum-Order IIR Filter Design with MATLAB." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1188-1_9.

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Tan, Li, and Jean Jiang. "Novel Adaptive IIR Filter for Frequency Estimation and Tracking." In Streamlining Digital Signal Processing. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118316948.ch20.

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Wang, Chuang, He Xi, Tienian Chen, and Jiawei Liu. "Design of IIR Digital Filter Based on FPGA." In Lecture Notes on Data Engineering and Communications Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5854-9_80.

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Litovski, Vančo. "IIR Digital Filter Synthesis Based on Bilinear Transformation of Analog Prototypes." In Electronic Filters. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9852-1_19.

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Sondhi, Akanksha, Richa Barsainya, and Tarun Kumar Rawat. "Lattice Wave Digital Filter based IIR SystemIdentification with reduced coefficients." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47952-1_56.

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Conference papers on the topic "Digital IIR filter"

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Mitra, S., Y. Neuvo, and P. Vaidyanathan. "Complementary IIR digital filter banks." In IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1985. http://dx.doi.org/10.1109/icassp.1985.1168359.

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Cain, Gerald D., Anush Yardim, and Fredric J. Harris. "Robust IIR Digital Filter Sharpening." In 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco47968.2020.9287752.

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He, Ping, HongLi Chang, Han Gao, and ZiYi Wang. "Design of IIR digital filter." In 2017 6th International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2017. http://dx.doi.org/10.1109/iccsnt.2017.8343749.

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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
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Chaogeng Huang, Zhixing Xu, Gang Li, Hong Xu, and Liping Chang. "An improved lattice IIR digital filter structure." In 2011 8th International Conference on Information, Communications & Signal Processing (ICICS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icics.2011.6173517.

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Kwan, Hon Keung, Aimin Jiang, and Hui Zhao. "IIR Variable Fractional Delay Digital Filter Design." In TENCON 2006 - 2006 IEEE Region 10 Conference. IEEE, 2006. http://dx.doi.org/10.1109/tencon.2006.344208.

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Aimin Jiang and Hon Keung Kwan. "Minimax IIR digital filter design using SOCP." In 2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008. IEEE, 2008. http://dx.doi.org/10.1109/iscas.2008.4541952.

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Rajapaksha, Nilanka T., and Arjuna Madanayake. "Asynchronous-QDI 2D IIR digital filter circuits." In 2011 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2011. http://dx.doi.org/10.1109/iscas.2011.5937653.

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Krishan, Er, Er Kapil Gulati, Er Munish Gupta, and Er Rajni. "Noise Detection in IIR Digital Filter Using Matlab." In Communication Technologies (ACCT). IEEE, 2012. http://dx.doi.org/10.1109/acct.2012.79.

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Agrawal, N., A. Kumar, Varun Bajaj, and H. N. Lee. "Controlled ripple based design of digital IIR filter." In 2016 IEEE International Conference on Digital Signal Processing (DSP). IEEE, 2016. http://dx.doi.org/10.1109/icdsp.2016.7868634.

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