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Journal articles on the topic 'Complex FIR and IIR filter design'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Gryka, J., G. D. Cain, and I. Kale. "Complex IIR filter design through balanced model reduction of FIR prototypes." Electronics Letters 31, no. 16 (August 3, 1995): 1332–34. http://dx.doi.org/10.1049/el:19950896.

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2

Soo-Chang Pei and Huei-Shan Lin. "Tunable FIR and IIR Fractional-Delay Filter Design and Structure Based on Complex Cepstrum." IEEE Transactions on Circuits and Systems I: Regular Papers 56, no. 10 (October 2009): 2195–206. http://dx.doi.org/10.1109/tcsi.2009.2015212.

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3

Liao, Cai, Yi Mei Song, Wei Wei Yue, Dong Bo Zhou, and Dan Ping Liu. "Application of MATLAB in Digital Signal Processing." Advanced Materials Research 490-495 (March 2012): 182–85. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.182.

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The digital filter is one of the most significant applications of digital signal processing (DSP). The design process is very complex involving the model approximation, parameter selection, computer simulation and a series of work. This paper introduces an efficient design method for the digital filter (IIR and FIR) based on the Signal Processing Toolbox of MATLAB, which makes design easy, fast and greatly reduces the amount of design work, and then proves it by practical examples.

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4

Stamenkovic, Negovan, Dragana Zivaljevic, and Vidosav Stojanovic. "Scaling function based on Chinese remainder theorem applied to a recursive filter design." Serbian Journal of Electrical Engineering 11, no. 3 (2014): 365–77. http://dx.doi.org/10.2298/sjee140213026s.

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Implementation of IIR filters in residue number system (RNS) architecture is more complex in comparison to FIR filters, due to introduction of the scaling function. This function performs operation of division by a constant factor, which is usually the power of two, and after that the operation of rounding. In that way dynamic range reduction in digital systems is achieved. There are different methods for scaling operation implementation, already presented in references. In this paper, some RNS dynamic reduction techniques have been analyzed and then application of one selected technique has been presented on example. In all RNS calculations the power of two moduli set {2n-1, 2n, 2n+1} has been applied.

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5

Mewada, Hiren K., and Jitendra Chaudhari. "Low computation digital down converter using polyphase IIR filter." Circuit World 45, no. 3 (August 5, 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 process, the first stage being a down sampling Hoegenauer (or cascade-integrated comb) filter and a reduced sample rate FIR filter. An alternative option is an M-Path polyphase partition of a band cantered FIR filter. Even though IIR filters offer reduced workload to implement a specific filtering task, the authors avoid using them because of their poor group delay characteristics. This paper aims to propose the design of M-path, approximately linear phase IIR filters as an alternative option to the M-path FIR filter. Design/methodology/approach Two filter designs are presented in the paper. The first approach uses linear phase IIR low pass structure to reduce the filter’s coefficient. Whereas the second approach uses multipath polyphase structure to design approximately linear phase IIR filter in DDC. Findings The authors have compared the performance and workload of the proposed polyphase structured IIR filters with state-of-the-art filter design used in DDC. The proposed design is seen to satisfy tight design specification with a significant reduction in arithmetic operations and required power consumption. Originality/value The proposed design is an alternate solution to the M-path polyphase FIR filter offering very less number of coefficients in the filter design. Proposed DDC using polyphase structured IIR filter satisfies the requirement of linear phase with the least number of computation cost in comparison with other DDC structure.

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6

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 (July 2, 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 and side effect toward signal processing parameters such as phase distortion, amplitude ratio, and processing time. Filter design type implementation also affect power and entropy calculation result. Keywords – EEG, FIR filter digital, IIR filter digital, Wavelet Decomposition, GUI-MATLAB

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7

Hon Keung Kwan and A. Jiang. "FIR, Allpass, and IIR Variable Fractional Delay Digital Filter Design." IEEE Transactions on Circuits and Systems I: Regular Papers 56, no. 9 (September 2009): 2064–74. http://dx.doi.org/10.1109/tcsi.2008.2011590.

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8

Nilsson, Peter. "Architectures and Arithmetic for Low Static Power Consumption in Nanoscale CMOS." VLSI Design 2009 (January 17, 2009): 1–10. http://dx.doi.org/10.1155/2009/749272.

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This paper focuses on leakage reduction at architecture and arithmetic level. A methodology for considerable reduction of the static power consumption is shown. Simulations are done in a typical 130 nm CMOS technology. Based on the simulation results, the static power consumption is estimated and compared for different filter architectures. Substantial power reductions are shown in both FIR-filters and IIR-filters. Three different types of architectures, namely, bit-parallel, digit-serial, and bit-serial structures are used to demonstrate the methodology. The paper also shows that the relative power ratio is strongly dependent on the used word length; that is, the gain in power ratio is larger for longer word lengths. A static power ratio at 0.48 is shown for the bit-serial FIR-filter and a power ratio at 0.11 is shown in the arithmetic part of the FIR-filter. The static power ratio in the IIR-filter is 0.36 in the bit-serial filter and 0.06 in the arithmetic part of the filter. It is also shown that the use of storage, such as registers, relatively the arithmetic part, affects the power ratio. The relatively lower power consumption in the IIR-filter compared to the FIR-filter is due to the lower use of registers.

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9

Thomas Safina, W. Ann. "Design and Quantization of FIR and IIR Filter for OFDM Signal." International Journal for Research in Applied Science and Engineering Technology V, no. IV (April 30, 2017): 1251–57. http://dx.doi.org/10.22214/ijraset.2017.4223.

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10

Argenti, F., and E. Del Re. "Design of biorthogonal M-channel cosine-modulated FIR/IIR filter banks." IEEE Transactions on Signal Processing 48, no. 3 (March 2000): 876–81. http://dx.doi.org/10.1109/78.824684.

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11

Li, Lin, Jian Hui Wang, and Shuai Ban. "A Design Method for IIR and FIR Digital Notch Filter Used to sEMG." Applied Mechanics and Materials 263-266 (December 2012): 184–87. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.184.

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Surface electromyography (sEMG) signals, a non-invasive bioelectric signal, can be used for the rehabilitation and control of artificial extremities. But this signal is so weak that the electrical voltages ranging from -5 to +5 mv. In order to eliminate the 50Hz noise included in sEMG and hold details of the signal, IIR50HZ notch filter and FIR 50Hz notch filter are design. The compared simulation results show that the application of FIR 50Hz is better than IIR 50Hz in sEMG patter recognition system.

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12

Ali, Mohamed Syed. "Cascaded Ripple Carry Adder Based SRCSA for Efficient FIR Filter." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (February 1, 2018): 253. http://dx.doi.org/10.11591/ijeecs.v9.i2.pp253-256.

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<p>Filter is one of the key components of all signals processing elements. Both the FIR and IIR filter are used to reduce the unwanted signal in the original signal. Here discussing the FIR filter and design the efficient FIR filter using Dual Ripple Carry Adder (RCA) based SQRT-carry select adder (CSLA). Many components present in the FIR filter, one of the main component is Adder. Adder is used to combine the signal for avoid the noise occurring in the output. Proposed a Dual RCA based SQRT-CSLA for speed up the filtering process. The filter performance can be analyzed by Xilinx simulation environment.</p>

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13

Karam, L. J., and J. H. McClellan. "Complex Chebyshev approximation for FIR filter design." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 42, no. 3 (March 1995): 207–16. http://dx.doi.org/10.1109/82.372870.

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14

Guan, Wen Tao, Zhao Hua Yang, and Yu Peng Cao. "Design of Lock-In Amplifier Based on Down-Sampling Mean Filter." Applied Mechanics and Materials 543-547 (March 2014): 662–67. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.662.

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Low-pass filter is an integral part of lock-in amplifier, low-pass FIR or IIR filter is typically used in lock-in amplifier, which need a large number of multiplications and occupy more hardware resources. To reduce cross-correlation computing requirement of multiplications, this paper, designed orthogonal vector lock-in amplifier based on the down-sampling dual mean filter. Experiments show that, the digital amplifier has good detection performance and noise or clutter suppression. Keywords: lock-in amplifier, mean filter, down-sampling, Gaussian noise suppression, clutter suppression.

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15

Tantaratana, Sawasd. "Multiplier-Free IIR Filter Realizations with Periodically Time-Varying Coefficients." Journal of Circuits, Systems and Computers 07, no. 04 (August 1997): 231–48. http://dx.doi.org/10.1142/s0218126697000176.

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In this paper, the periodically time-varying (PTV) structure, previously proposed for realizing FIR filters, is extended to IIR filter realization. The realization consists of ternary ({0, ±1}) or quinary ({0, ±1, ±2}) PTV coefficients with simple input and output units. Coefficient multiplications as well as the input and output units require no hardware multiplier, which helps increase the processing speed or reduce the chip area. Bit-level architectures are presented. The regularity and local interconnection of the architectures help simplify VLSI design and layout.

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16

Schulist, Matthias. "Improvements of a complex FIR filter design algorithm." Signal Processing 20, no. 1 (May 1990): 81–90. http://dx.doi.org/10.1016/0165-1684(90)90078-d.

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17

Lim, Y. C., J. H. Lee, C. K. Chen, and R. H. Yang. "A weighted least squares algorithm for quasi-equiripple FIR and IIR digital filter design." IEEE Transactions on Signal Processing 40, no. 3 (March 1992): 551–58. http://dx.doi.org/10.1109/78.120798.

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18

IWAMURA, S., T. SUZUKI, Y. TANAKA, and M. IKEHARA. "Design of M-Channel Perfect Reconstruction Filter Banks with IIR-FIR Hybrid Building Blocks." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A, no. 8 (August 1, 2007): 1636–43. http://dx.doi.org/10.1093/ietfec/e90-a.8.1636.

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19

Liao, Shouyi, Huaping Liu, and Yucai Zhou. "Robust FIR and IIR filter design for uncertain multirate systems under wireless network environment." International Journal of Sensor Networks 20, no. 1 (2016): 54. http://dx.doi.org/10.1504/ijsnet.2016.074282.

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20

Rahmawati, Diana, Haryanto, Fahrus Sakariya, and Heri Setiawan. "Digital Filter Design for Classifying Coconut Ages using Blackman FIR and Elliptic IIR Filters." Journal of Physics: Conference Series 1569 (July 2020): 032071. http://dx.doi.org/10.1088/1742-6596/1569/3/032071.

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21

Wang, Xiu Min, Ting Ting Li, and Liang Shan. "The Design of Adaptive Noise Cancellation Filter Based on DSP Chip." Advanced Materials Research 971-973 (June 2014): 1786–90. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1786.

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The speech signal usually could not be extracted correctly from the digital speech communication system with strong interference. As for this kind of system, the common fixed coefficient digital filters (FIR, IIR) are unable to achieve the best effect of filtering. Whereas the adaptive filter could extract the available signals properly by adjusting the filter coefficient automatically without knowing the change characteristics of the noise signal. In this paper, we designed an adaptive noise cancellation filter based on LMS algorithm on the DSP chip and verification of the filter was done on the TMS320C5509 platform. The results show that the adaptive noise cancellation designed in this paper could extract the available signals properly and improve the quality of the speech communication.

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22

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. We consider a discrete search space spanned by the quantised filter coefficients.Differential Evolutionis used for efficient sampling of this huge finite design space. We present communication system performance (based on bit-true simulations) and both measured and estimated receiver IIR chip areas. The results show that very small number formats are acceptable for complex filters and that the choice between fixed-point and floating-point number formats is nontrivial if precision is a free parameter.

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23

Beliczynski, B., J. Gryka, I. Kale, and G. D. Cain. "IIR filter design via Hankel-norm optimal approximation of FIR prototype filters: A streamlined approach." Electronics Letters 30, no. 4 (February 17, 1994): 292–93. http://dx.doi.org/10.1049/el:19940201.

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24

Valderrama-Cuervo, Juan Camilo, and Alexander López-Parrado. "OPEN CORES FOR DIGITAL SIGNAL PROCESSING." Revista de Investigaciones Universidad del Quindío 25, no. 1 (May 31, 2014): 53–62. http://dx.doi.org/10.33975/riuq.vol25n1.150.

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This paper presents the design and implementation of three System-on-Chip (SoC) cores, which implement the Digital Signal Processing (DSP) functions: Finite Impulse Response (FIR) filter, Infinite Impulse Response (IIR) filter and Fast Fourier Transform (FFT). The FIR-filter core is based on the symmetrical realization form, the IIRfilter core is based on the Second Order Sections (SOS) architecture and the FFT core is based on the Radix 22 Single Delay Feedback (R22SDF) architecture. The three cores are compatible with the Wishbone SoC bus, and they were described using generic and structural VHDL. In-system hardware verification was performed by using an OpenRisc-based SoC synthesized on an Altera FPGA. Tests showed that the designed DSP cores are suitable for building SoC based on the OpenRisc processor and the Wishbone bus.

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25

Schulist, Matthias. "FIR filter design with additional constraints using complex Chebyshev approximation." Signal Processing 33, no. 1 (July 1993): 111–19. http://dx.doi.org/10.1016/0165-1684(93)90082-l.

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26

Matei, Radu, and Liviu Goraş. "A class of circularly-symmetric CNN spatial linear filters." Facta universitatis - series: Electronics and Energetics 19, no. 2 (2006): 299–316. http://dx.doi.org/10.2298/fuee0602299m.

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This paper proposes a simple and efficient method for designing a class of circularly-symmetric spatial linear filters implemented on cellular neural networks. The design method relies on a so-called 1-D prototype filter, with desired characteristics and on a 1-D to 2-D spatial frequency transformation. Several design examples are given, for 2-D low-pass and band-pass filters (both of FIR and IIR type) with imposed cut-off or peak frequency and a specified selectivity. Finally, simulation results are provided, on a real grayscale biomedical image.

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27

Han, Xiuqin. "Acquisition and its Basic Processing Technology of Multimedia Vocal Signal." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 08 (November 12, 2019): 2058009. http://dx.doi.org/10.1142/s0218001420580094.

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This paper briefly studies the method of collecting audio signals and the method of adding noise to audio signals. It comprehensively applies various basic knowledge of digital signal processing, and then performs spectrum analysis on noise-free frequency signals and spectral analysis of noise-added frequency signals, and filtering processing. Through theoretical derivation, the corresponding conclusions are drawn, and then MATLAB is used as a programming tool to carry out computer implementation to verify the conclusions derived. In the research process, the filter processing was completed by designing the IIR digital filter and the FIR digital filter, and MATLAB was used to draw the graphics and calculate and simulate some data in the whole design.

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28

RIZVANDI, N. BABAII, A. NABAVI, and SH HESSABI. "AN ACCURATE FIR APPROXIMATION OF IDEAL FRACTIONAL DELAY FILTER WITH COMPLEX COEFFICIENTS IN HILBERT SPACE." Journal of Circuits, Systems and Computers 14, no. 03 (June 2005): 497–505. http://dx.doi.org/10.1142/s0218126605002386.

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This paper presents a low-order and accurate method for the design of FIR fractional delay (FD) filters with complex coefficients. This method employs least square technique in Hilbert space to approximate the ideal FD transfer function with a FIR filter and to calculate its coefficients. The main advantages of the resulting filter are: very good response at all frequencies compared to other FD filter design methods and a good method to create very small delay. Design examples are presented to illustrate the effectiveness of this new design approach.

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29

RAMÍREZ, JAVIER, UWE MEYER-BÄSE, and ANTONIO GARCÍA. "EFFICIENT RNS-BASED DESIGN OF PROGRAMMABLE FIR FILTERS TARGETING FPL TECHNOLOGY." Journal of Circuits, Systems and Computers 14, no. 01 (February 2005): 165–77. http://dx.doi.org/10.1142/s0218126605002131.

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FIR filters are routinely used in the implementation of modern digital signal processing systems. Their efficient implementation using commercially available VLSI technology is a subject of continuous study and development. This paper presents the residue number system (RNS) implementation of reduced-complexity and high-performance FIR filters, using modern Altera APEX20K field-programmable logic (FPL) devices. Index arithmetic over Galois fields and the Quadratic Residue Number System (QRNS), along with a selection of a small wordwidth modulus set, are the keys for attaining low complexity and high throughput in real and complex FIR filters. RNS–FPL merged FIR filters demonstrated its superiority when compared to 2C (two's complement) filters, being about 65% faster and requiring fewer logic elements for most study cases. Special attention was paid to an efficient implementation of the multi-operand modulo adders. The replacement of a classical modulo adder tree by a binary adder with extended precision followed by a single modulo reduction stage reduced area requirements by 10% for a 32-tap FIR filter. On the other hand, an index arithmetic QRNS-based complex FIR filter yielded up to 60% performance improvement over a three-multiplier-per-tap 2C filter, while requiring fewer LEs for filters having more than eight taps. Particularly, a 32-tap filter needed 24% LEs less than the classical design.

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30

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 (July 26, 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 complex search spaces for a suitable solution. Every EC technique holds distinctive attributes to properly satisfy particular requirements of specific problems. Hence, a particular EC algorithm is not able to solve all problems adequately. To determine the advantages and flaws of EC techniques, their correct evaluation is a critical task in the computational intelligence community. Furthermore, EC algorithms are stochastic processes with random operations. Under such conditions, for obtaining significant conclusions, appropriate statistical methods must be considered. Although several comparisons among EC methods have been reported in the literature, their conclusions are based on a set of synthetic functions, without considering the context of the problem or appropriate statistical treatment. This paper presents a comparative study of various EC techniques currently in use employed for designing 2D-IIR digital filters. The results of several experiments are presented and statistically analyzed.

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31

Avelar, Helder Henrique. "Evaluation of Stuck-at Faults in a FIR Filter Design." U.Porto Journal of Engineering 5, no. 2 (November 29, 2019): 38–45. http://dx.doi.org/10.24840/2183-6493_005.002_0005.

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The development of integrated circuits becomes more complex and gets more susceptible to manufacturing errors as technology nodes get smaller. Along with that, the observability of more complex chips gets reduced, making it harder and more expensive to test. Therefore, the impact of different faults must be observed on the design as early as possible, in order to reduce the time to market and the cost of the fault to the project.Since many designs depend on Digital Signal Processing applications, this project proposes a case study of the implementation of a FIR filter design in Verilog and the analysis and comparison of its response by inserting stuck-at faults in its shift registers via test bench simulation.

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32

Alimohammad, Amirhossein, Saeed Fouladi Fard, and Bruce F. Cockburn. "Filter-Based Fading Channel Modeling." Modelling and Simulation in Engineering 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/705078.

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A channel simulator is an essential component in the development and accurate performance evaluation of wireless systems. A key technique for producing statistically accurate fading variates is to shape the flat spectrum of Gaussian variates using digital filters. This paper addresses various challenges when designing real and complex spectrum shaping filters with quantized coefficients for efficient realization of both isotropic and nonisotropic fading channels. An iterative algorithm for designing stable complex infinite impulse response (IIR) filters with fixed-point coefficients is presented. The performance of the proposed filter design algorithm is verified with 16-bit fixed-point simulations of two example fading filters.

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33

M. Abdul-Jabbar, Jassim, and Omar Najeeb Saadi. "Genetic-Based IIR Filter Design for Efficient QRS Complex Detection using Neuro-Based Classifier." AL-Rafdain Engineering Journal (AREJ) 23, no. 4 (September 28, 2015): 172–82. http://dx.doi.org/10.33899/rengj.2015.105954.

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34

H Bailmare, Ravi, S. J. Honale, and Pravin V Kinge. "Design and Implementation of Adaptive FIR filter using Systolic Architecture." International Journal of Reconfigurable and Embedded Systems (IJRES) 3, no. 2 (July 1, 2014): 54. http://dx.doi.org/10.11591/ijres.v3.i2.pp54-61.

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<p>The tremendous growth of computer and Internet technology wants a data to be process with a high speed and in a powerful manner. In such complex environment, the conventional methods of performing multiplications are not suitable to obtain the perfect solution. To obtain perfect solution parallel computing is use in contradiction. The DLMS adaptive algorithm minimizes approximately the mean square error by recursively altering the weight vector at each sampling instance. In order to obtain minimum mean square error and updated value of weight vector effectively, systolic architecture is used. Systolic architecture is an arrangement of processor where data flows synchronously across array element. This project demonstrates an effective design for adaptive filter using Systolic architecture for DLMS algorithm, synthesized and simulated on Xilinx ISE Project navigator tool in very high speed integrated circuit hardware description language (VHDL) and Field Programmable Gate Arrays (FPGAs). Here, by combining the concept of pipelining and parallel processing in to the systolic architecture the computing speed increases.</p>

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35

Naseer, Muhammad Muzammal, and Wail A. Mousa. "Linear complementarity problem: A novel approach to design finite-impulse response wavefield extrapolation filters." GEOPHYSICS 80, no. 2 (March 1, 2015): S55—S63. http://dx.doi.org/10.1190/geo2014-0244.1.

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In this paper, the problem of complex valued finite impulse response (FIR) wavefield extrapolation filter design was considered as a linear complementarity problem (LCP). LCP is not an optimization technique because there is no objective function to optimize; however, quadratic programming, one of the applications of LCP, can be used to find an optimal solution for the 1D FIR wavefield extrapolation filter. Quadratic programs are an extremely important source of applications of LCP; in fact, several algorithms for quadratic programs are based on LCP. We found that FIR wavefield extrapolation filter design problem can be written as a quadratic program and then, finally, to an equivalent LCP. There are two families of algorithms available to solve for LCP: (1) direct (pivoting-based) algorithms and (2) indirect (iterative) algorithms. In this study, the LCP has been solved using direct and indirect algorithms. To show the effectiveness of the proposed method, the SEG/EAGE salt velocity model data have been extrapolated via wavefield extrapolation FIR filters designed by our LCP approach, which resulted with practically stable seismic images.

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36

Bai, Mingsian R., Yujeng Lin, and Jian-Da Wu. "Analysis and DSP Implementation of a Broadband Duct ANC System Using Spatially Feedforward Structure." Journal of Vibration and Acoustics 123, no. 2 (October 1, 2000): 129–36. http://dx.doi.org/10.1115/1.1355031.

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The active control technique for broadband attenuation of noise in ducts, using spatially feedforward structure, is investigated from the viewpoints of both acoustic analysis and control engineering. According to the previous work by Munjal and Eriksson [1], there exists an ideal controller for this problem. The ideal controller is a function of the finite source impedance and is thus independent of the boundary conditions. Despite the simplicity, the ideal controller cannot be practically implemented due to the difficulty of calibration of electro-mechanical parameters. To overcome the problem, the controller is implemented via an equivalent formulation modified from the controller originally proposed by Roure [2]. The modified controller is implemented on a DSP platform, using a FIR filter, an IIR filter and a hybrid filter. The experimental results showed that the system achieved 17.2 dB maximal attenuation in the frequency band 300∼600 Hz. Physical insights and design considerations in implementation phase are also discussed in the paper.

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37

MVUMA, Aloys, Shotaro NISHIMURA, and Takao HINAMOTO. "Tracking Analysis of Complex Adaptive IIR Notch Filter for a Linear Chirp Signal." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E92-A, no. 6 (2009): 1526–29. http://dx.doi.org/10.1587/transfun.e92.a.1526.

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38

Vaidyanathan, P., P. Regalia, and S. Mitra. "Design of doubly-complementary IIR digital filters using a single complex allpass filter, with multirate applications." IEEE Transactions on Circuits and Systems 34, no. 4 (April 1987): 378–89. http://dx.doi.org/10.1109/tcs.1987.1086156.

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Tseng, C. Y. "An efficient implementation of Lawson's algorithm with application to complex Chebyshev FIR filter design." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 42, no. 4 (April 1995): 245–60. http://dx.doi.org/10.1109/82.378038.

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SHIMIZU, Y., and Y. SANADA. "OFDM Interference Suppression for DS/SS Systems Using Complex FIR Filter." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A, no. 11 (November 1, 2007): 2388–94. http://dx.doi.org/10.1093/ietfec/e90-a.11.2388.

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Cuoghi, Stefania, Lorenzo Ntogramatzidis, Fabrizio Padula, and Gabriele Grandi. "Direct Digital Design of PIDF Controllers with ComPlex Zeros for DC-DC Buck Converters." Energies 12, no. 1 (December 23, 2018): 36. http://dx.doi.org/10.3390/en12010036.

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This paper presents a new direct digital design method for discrete proportional integral derivative PID + filter (PIDF) controllers employed in DC-DC buck converters. The considered controller structure results in a proper transfer function which has the advantage of being directly implementable by a microcontroller algorithm. Secondly, it can be written as an Infinite Impulse Response (IIR) digital filter. Thirdly, the further degree of freedom introduced by the low pass filter of the transfer function can be used to satisfy additional specifications. A new design procedure is proposed, which consists of the conjunction of the pole-zero cancellation method with an analytical design control methodology based on inversion formulae. These two methods are employed to reduce the negative effects introduced by the complex poles in the transfer function of the buck converter while exactly satisfying steady-state specifications on the tracking error and frequency domain requirements on the phase margin and on the gain crossover frequency. The proposed approach allows the designer to assign a closed-loop bandwidth without constraints imposed by the resonance frequency of the buck converter. The response under step variation of the reference value, and the disturbance rejection capability of the proposed control technique under load variations are also evaluated in real-time implementation by using the Arduino DUE board, and compared with other methods.

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Mohan, G. S. S. S. S. V. Krishna, and Yarravarapu Srinivasa Rao. "An efficient design of finite impulse response — Fractional-order differentiator using shuffled frog leaping algorithm heuristic." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 01 (March 12, 2019): 1941005. http://dx.doi.org/10.1142/s0219691319410054.

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A fractional-order digital differentiator is employed for the calculation of a time-derivative of the applied signal. In the recent few decades, this particular concept of a fractional derivative has been gaining a lot of attention in various applications concerning engineering, technology and science that includes image processing along with automatic control. Once there has been an effective use for this continuous-time Fractional-Order Differentiator (FOD), the trend in its research is primarily toward using a discrete-time fractional differentiator. All these conventional techniques tend to make use of a unimodal function for approximating an ideal FOD. For these techniques, there is a minimization of the fitness function that is accomplished by the algorithms which are based on the gradient. The fractional-order circuits along with their systems include an emerging area that has a high level of potential in aspects such as the biomedical instrumentation, control or signal processing. A digital differentiator is a tool that is extremely helpful in the determination and estimation of time derivatives of any given signal. Irrespective of the actual type of filter chosen (the Finite Impulse Response (FIR) or the Infinite-Length Impulse Response (IIR)), it is critical to bring down the complexity of computation needed for the implementation of the filter for a certain bandwidth and error of approximation. A metaheuristic algorithm normally has some advantages in the solving of problems which are Non-Deterministic Polynomial (NP)-hard. The Shuffled Frog Leaping Algorithm (SFLA) has been a new heuristic algorithm proposed in this work for the determination of optimal coefficients of the problem of FIR-FOD. A design for fractional-order-based digital differentiator is not a very important topic in research and signal processing.

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Zhang, Li Cai, and Xiao Juan Tong. "Research on a Model of Reverberation." Applied Mechanics and Materials 321-324 (June 2013): 1117–22. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1117.

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Against defects of lacking consideration of air absorption characteristics to the high frequency signal in Schroeder reverberation model, and the more complex structure in Moorer reverberation model, use equiripple Chebyshev approximation criterion to design 4 FIR comb filter with low-pass characteristics and make the FIR filters in parallel, to get a pure parallel reverberation model. This reverberation model considers the absorption characteristics of air to the high-frequency signal, and has a more simple structure.

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Lang, Markus, and Joachim Bamberger. "Nonlinear phase FIR filter design according to the L2 norm with constraints for the complex error." Signal Processing 38, no. 2 (July 1994): 259–68. http://dx.doi.org/10.1016/0165-1684(94)90145-7.

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Lang, Markus, and Joachim Bamberger. "Nonlinear phase FIR filter design according to the L2 norm with constraints for the complex error." Signal Processing 36, no. 1 (March 1994): 31–40. http://dx.doi.org/10.1016/0165-1684(94)90176-7.

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SHIMIZU, Y., and Y. SANADA. "Analysis on Interference Rejection of DS/SS Systems Using a Complex FIR Filter." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 11 (November 1, 2006): 3026–31. http://dx.doi.org/10.1093/ietfec/e89-a.11.3026.

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Yu, Runyi, and Aryaz Baradarani. "Sampled-Data Design of FIR Dual Filter Banks for Dual-Tree Complex Wavelet Transforms via LMI Optimization." IEEE Transactions on Signal Processing 56, no. 7 (July 2008): 3369–75. http://dx.doi.org/10.1109/tsp.2008.917408.

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SHUI, PENG-LANG, and XIAO-LONG WANG. "2M-BAND INTERLEAVED DFT MODULATED FILTER BANKS WITH PERFECT RECONSTRUCTION." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 04 (July 2008): 499–520. http://dx.doi.org/10.1142/s021969130800246x.

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In this paper, we propose a new family of perfect reconstruction (PR) complex filter banks, named interleaved discrete Fourier transform modulated filter banks (Interleaved DFT-FBs). In the filter banks, the analysis filters are generated by interlaced exponential modulating two different analysis prototype filters, and the synthesis filters are generated by two different synthesis prototype filters via the same manner. The filter banks have a simple polyphase structure similar to DFT modulated filter banks (DFT-FBs). More importantly, the proposed Interleaved DFT-FBs can achieve critically sampled PR complex filter bank with FIR analysis and synthesis filters, which is impossible for DFT-FBs. We give and prove the PR condition for 2M-band Interleaved DFT-FBs. Utilizing the result, the design procedure of the prototype filters is presented. In addition, by the theoretic analysis and numerical examples, it is shown that the analysis and synthesis filters cannot simultaneously provide good stopband attenuation for the critically sampled PR Interleaved DFT-FBs. Although the limitation always exits, the filter banks can find applications in some subband coding systems of high bit rate.

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Llamocca, Daniel, and Marios Pattichis. "A Self-Reconfigurable Platform for the Implementation of 2D Filterbanks with Real and Complex-Valued Inputs, Outputs, and Filter Coefficients." VLSI Design 2014 (May 4, 2014): 1–24. http://dx.doi.org/10.1155/2014/651943.

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We introduce a dynamically reconfigurable 2D filterbank that supports both real and complex-valued inputs, outputs, and filter coefficients. This general purpose filterbank allows for the efficient implementation of 2D filterbanks based on separable 2D FIR filters that support all possible combinations of input and output signals. The system relies on the use of dynamic reconfiguration of real/complex one-dimensional filters to minimize the required hardware resources. The system is demonstrated using an equiripple and a Gabor filterbank and the results using both real and complex-valued input images. We summarize the performance of the system in terms of the required processing times, energy, and accuracy.

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Wang, Mingan, Shuo Feng, Jianming Li, Zhonghua Li, Yu Xue, and Dongliang Guo. "Cloud Model-Based Artificial Immune Network for Complex Optimization Problem." Computational Intelligence and Neuroscience 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/5901258.

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This paper proposes an artificial immune network based on cloud model (AINet-CM) for complex function optimization problems. Three key immune operators—cloning, mutation, and suppression—are redesigned with the help of the cloud model. To be specific, an increasing half cloud-based cloning operator is used to adjust the dynamic clone multipliers of antibodies, an asymmetrical cloud-based mutation operator is used to control the adaptive evolution of antibodies, and a normal similarity cloud-based suppressor is used to keep the diversity of the antibody population. To quicken the searching convergence, a dynamic searching step length strategy is adopted. For comparative study, a series of numerical simulations are arranged between AINet-CM and the other three artificial immune systems, that is, opt-aiNet, IA-AIS, and AAIS-2S. Furthermore, two industrial applications—finite impulse response (FIR) filter design and proportional-integral-differential (PID) controller tuning—are investigated and the results demonstrate the potential searching capability and practical value of the proposed AINet-CM algorithm.

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