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Journal articles on the topic 'Digital filter design'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

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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2

Linville, A. Frank. "Single‐channel digital filter design for seismic applications." GEOPHYSICS 59, no. 10 (October 1994): 1584–92. http://dx.doi.org/10.1190/1.1443547.

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A general least‐squares, time‐domain filter design methodology has been developed that is easy to use for a variety of seismic filtering applications. The 1-D finite‐impulse response frequency filter can efficiently provide the noise attenuation and selectivity needed in modern data processing. Flexibility of design allows a choice of all basic types of single‐channel filters commonly used in processing. These include low‐pass, high‐pass, band‐pass, band‐reject, and notch filters. In addition, multiple bands may be passed or rejected using a single operator design without increasing the length of the filter. The ability to reject multiple noise bands with one filter is convenient and also reduces data processing costs. The filter can be viewed as a minimum‐phase Wiener‐Levinson predictive deconvolution filter designed to reject specified frequency bands. The filter is designed from an exact mathematical description of the specified stop bands that provide an explicit expression for the required autocorrelation lags in the normal equations. The filter’s desired frequency response (transition zone width and rejection level) is simply related to two input parameters—operator length and white noise level.

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3

Stancic, Goran, and Sasa Nikolic. "Design of narrow stopband recursive digital filter." Facta universitatis - series: Electronics and Energetics 24, no. 1 (2011): 119–30. http://dx.doi.org/10.2298/fuee1101119s.

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The procedure for design of narrow stopband recursive digital filter realized through parallel connections of two allpass sub-filters is described in this paper. This solution also allows realization of complementary filter, using only one additional adder, and exhibit low sensitivity on coefficients quantization. The method is based on phase approximation of allpass sub-filter. The procedure is very efficient and solution can be obtained within only a few iterations even for large filter order n. Every stopband provides two more equations, one at notch frequency and the other at passband boundary. It is not possible to control attenuation at both passband boundaries, but described procedure provides that achieved attenuations are less or equal to prescribed values. Using this algorithm full control of passband edges is obtained comparing with existing methods where it is not possible.

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4

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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5

Karam, Lina J., and James H. McClellan. "Chebyshev digital FIR filter design." Signal Processing 76, no. 1 (July 1999): 17–36. http://dx.doi.org/10.1016/s0165-1684(98)00244-8.

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6

Kabalan, Karim Y., and Ali El-Hajj. "Digital filter design using spreadsheets." Computer Applications in Engineering Education 7, no. 1 (1999): 9–15. http://dx.doi.org/10.1002/(sici)1099-0542(1999)7:1<9::aid-cae2>3.0.co;2-c.

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7

Selesnick, I. W., and C. S. Burrus. "Generalized digital Butterworth filter design." IEEE Transactions on Signal Processing 46, no. 6 (June 1998): 1688–94. http://dx.doi.org/10.1109/78.678493.

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8

Wen, Hui, and Shu Ming Li. "DSP-Based FIR Filter Design and Circular Buffer Implementation." Advanced Materials Research 403-408 (November 2011): 1755–58. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1755.

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The digital filter technology includes two aspects, which are the filter design process and filter realization. The article expounded the basic structure of FIR filter, with examples on the use Matlab to determine the FIR filter coefficient, analysis of the cycle of the buffer zone algorithm Principle, based on the algorithm, combination of filters designed to achieve the input of mixed-signal FIR digital filter. In the end, the filter is given before and after the input and output signal waveform simulation.

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9

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 filters or even only one 1D digital filter. The stimulation results show the proposed method has the better performance of the minimum attenuation between the passband and stopband.

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10

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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11

Deng, Tian-Bo. "Stability-Guaranteed Two-Phase Design of Odd-Order Variable-Magnitude Digital Filters." Journal of Circuits, Systems and Computers 26, no. 02 (November 3, 2016): 1750033. http://dx.doi.org/10.1142/s0218126617500335.

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Guaranteeing the stability is one of the most critical issues in designing a variable recursive digital filter. In this paper, we first present an odd-order recursive variable model (transfer function) that is used for designing an odd-order variable-magnitude (VM) digital filter, and then we replace the original coefficients of the denominator of the odd-order transfer function with a set of new parameters. These new parameters can ensure that they can take arbitrary values without incurring instability of the designed odd-order VM filter. To make the VM filter coefficients variable, we find all the VM filter coefficients as polynomial functions of the tuning parameter, which includes two phases. The first phase designs a set of recursive digital filters with fixed coefficients (constant filters), and the second phase utilizes a curve-fitting scheme to represent each coefficient as a polynomial function. As a result, the VM filter coefficients become variable, and the proposed parameter-substitution-based denominator coefficients ensure the filter stability. This is the most important contribution of the parameter-substitution-based design scheme. This paper uses the fifth-order demonstrative example to verify the stability guarantee as well as the design accuracy of the obtained the fifth-order VM filter.

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12

Daraghma, Raed S. M. "M-ary phase-shift keying using finite impulse response filter based on window function method." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 451. http://dx.doi.org/10.11591/ijece.v11i1.pp451-457.

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Digital filters are vastly utilized in the area of communication. A perfect digital filter efficiency is significant and hence to design a digital finite impulse response filter (FIR) favorable all the wanted situations is necessary. In this paper, a new proposed FIR digital filter designed, the fineness of the submitted filter is tested in terms of BER and then matched with another window, namely Hamming, Hanning, and Blackman. The design procedure done in the MATLAB software. It is concluded that the Blackman window is the best window to design the FIR digital filter, because it is bit error rate is better than another window.

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13

Xie, Xiao Ming, and Hui Meng Huang. "Design and Analysis of Digital Filter in Digital Down Converter." Advanced Materials Research 433-440 (January 2012): 2844–49. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2844.

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In this paper, based on the analysis and discussion of multistage decimation structure, we have studied and analyzed some key technologies of the digital filter in digital down conversion. Meanwhile, we have analyzed and summarized the decimation filter modules as CIC, HB, FIR of the digital filter, and a multistage decimation filter design program is given in this paper. An optimum design method is proposed in this article, which greatly reduce the complexity of system design and memory usage and has upgrade the data rate operation with great extent.

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14

Özbay, Yüksel, Bekir Karlik, and A. Kavsaoglu. "A Windows-Based Digital Filter Design." Mathematical and Computational Applications 8, no. 3 (December 1, 2003): 287–94. http://dx.doi.org/10.3390/mca8030287.

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15

AJOSE, S. O., and B. A. AKINADE. "Design of digital elliptic bandpass filter." International Journal of Electronics 69, no. 5 (November 1990): 657–63. http://dx.doi.org/10.1080/00207219008920352.

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16

Li, Xiao Zhou. "A Framework Design of Spatial Gamut Mapping." Advanced Materials Research 468-471 (February 2012): 628–32. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.628.

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The common filters used in spatial gamut mapping algorithms were studied in this paper which included Gaussian filter and bilateral filter based on spatial gamut mapping theory. And one framework of spatial gamut mapping oriented to digital printing was designed which combined the printing image characteristics and reproduction requirements. The framework combined printing image processing technique and gamut mapping technique and the results help to choose or develop better spatial gamut mapping algorithms oriented to digital printing.

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17

NERURKAR, SHAILESH B., and KHALID H. ABED. "LOW POWER DIGITAL DECIMATION FILTER FOR RF WIRELESS COMMUNICATIONS." Journal of Circuits, Systems and Computers 17, no. 02 (April 2008): 239–51. http://dx.doi.org/10.1142/s0218126608004241.

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In this paper, we present a unique low power decimation filter architecture for RF wireless applications. To implement the low power decimation filter, we considered low power design techniques such as multi-rate, multi-stage signal processing, proper selection of decimation factor, one multiplier realization of 1/3-band filters, and poly-phase 1/2-band filters. We have designed three conventional decimation filter architectures using a single-stage FIR filter, a three-stage FIR filter, and a three-stage half-band FIR filter. Compared to the 55-tap comb-FIR filter architecture, the proposed decimation filter has only 13 taps, and requires 76% less hardware and consumes 64% less power.

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18

Wei, Chuan Ting, Quan Li Ning, and Dong Chen. "Design of Digital Filter Based on Numerical Simulation." Applied Mechanics and Materials 539 (July 2014): 79–83. http://dx.doi.org/10.4028/www.scientific.net/amm.539.79.

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In MATLAB software, it has FDATool toolbox, which can design digital filter specific according to specific circuit, and analyze the performance of the filter according to the parameters of filter. In this paper we establish simulation mathematical model of digital filter based on the calculation principle of distributed multiplication accumulator. According to the logic algorithm we design delay algorithm of digital filter, and use MATLAB software to do simulation on amplitude frequency and phase frequency of digital filter. After superposition of different sampling frequency wave we get new waveform, and realize the digital filter for the new wave. It proves the availability of mathematical model and the program, and provides the technical reference for the design of digital filter.

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19

Zhao, Yan Chun. "Design and Application of Digital Filter Based on Calculus Computing Concept." Applied Mechanics and Materials 513-517 (February 2014): 3151–55. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3151.

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Calculus has been widely applied in engineering fields. The development of Integer order calculus theory is more mature in the project which can obtain fractional calculus theory through the promotion of integration order. It extends the flexibility of calculation and achieves the engineering analysis of multi-degree of freedom. According to fractional calculus features and the characteristics of fractional calculus, this paper treats the frequency domain as the object of study and gives the fractional calculus definition of the frequency characteristics. It also designs the mathematical model of fractional calculus digital filters using Fourier transform and Laplace transform. At last, this paper stimulates and analyzes numerical filtering of fractional calculus digital filter circuit using matlab general numerical analysis software and FDATool filter toolbox provided by matlab. It obtains the one-dimensional and two-dimensional filter curves of fractional calculus method which achieves the fractional Calculus filter of complex digital filter.

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20

Rachman, Rizki Aulia, I. Dewa Gede Hari Wisana, and Priyambada Cahya Nugraha. "Development of a Low-Cost and Effisient ECG devices with IIR Digital Filter Design." Indonesian Journal of electronics, electromedical engineering, and medical informatics 3, no. 1 (February 22, 2021): 21–28. http://dx.doi.org/10.35882/ijeeemi.v3i1.4.

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Measurement of biosignals such as electrocardiograph has the interpretation of noise from other signals. The noise can interfere with the measurement of the heart signal and make the measurement inaccurate, so the purpose of this study is to make a 6-Lead Electrocardiogram module with an Arduino-Based Digital Filter. By using a digital filter. The contribution of this research is the use of digital filters to eliminate noise in electrocardiograph signals. This research uses Infinite Impulse Filter digital filters such as Butterworth, Chebyshev I, Chebyshev II, and Elliptic in order 2, 4, 6, 8, and 10. The study was conducted by providing input from the Function Generator on Arduino which has been applied digital filters with Frequency with 0.5Hz – 100Hz cut-off. The instrument is compared with a factory electrocardiograph. Filter measurements using 460 input data. Butterworth filter with the greatest emphasis on order 8 frequency 0.5Hz produces an emphasis of -5.74298158 dB and a frequency of 100Hz produces an emphasis of -5.93529424 dB. The Chebyshev I filter has the greatest emphasis on order 6 frequency 0.5Hz producing an emphasis of -3.27104076 dB and on order 8 frequency 100Hz producing an emphasis of -5.08730424 dB. Chebyshev II filter the biggest emphasis on the order of frequency 0.5Hz produces a suppression of -44,66011104 dB and 80Hz frequency produces a suppression of -37,3653957 dB. Elliptic filters the greatest emphasis on order 6 frequency 0.5Hz produces an emphasis on -1.55429354 dB and 100Hz frequency on order 8 produces an emphasis on -2.2849115 dB. The results showed that what was appropriate with the cut-off frequency was the Butterworth order 8 filter which was suitable for the application of the Electrocardiograph signal filter because it had bandwidth that suppressed the signal outside the cut-off frequency. The results of this study can be implemented on a 6-Lead ECG module to eliminate noise or interference when tapping ECG signals.

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21

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 devoted to the design sequence of this kind of filters which will be illustrated on the example of a band-pass filter obtained by a set of transformations from an all-pole low-pass analogue prototype. This will be the first time a CMAC band-pass IIR digital filter is reported.

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22

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 (September 1, 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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23

Smirnov, A. V. "Optimization of digital filters performances simultaneously in frequency and time domains." Russian Technological Journal 8, no. 6 (December 18, 2020): 63–77. http://dx.doi.org/10.32362/2500-316x-2020-8-6-63-77.

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Wide used method of digital filters design consists in transformation of analog filter-prototype with required performances into digital filter. This method is applicable if the transformation preserves optimality of filter performances under specified set of quality indexes (QI). It was denoted earlier that such situation is possible when gain-frequency response (GFR) and phase-frequency response are optimized simultaneously. The task of simultaneous optimization of digital filters GFR and step response (SR) is also important but yet a little explored. Alternative method of this problem solving consists in search of digital filter transfer function (TF) which is optimal under GFR and SR QI’s. To investigate capabilities of the first method we found examples of analog filters Pareto-optimal under rise time and transient duration. Other QI’s of these filters fulfilled specified constraints. Then these filters were transformed into digital filters. Bilinear transformation and transformation with invariant impulse response were applied. Further we did the search of digital filters optimal under the same set of QI’s. In either method the hybrid heuristic algorithm was applied for search optimal solutions in the space of TF poles and zeroes coordinates. The results of investigation demonstrated that digital filters developed via search are superiorly under specified set of QI’s then digital filters developed via transformation of analog filters. Accordingly Pareto-optimality for QI of GFR and SR is not preserved during such transformation and direct search must be applied to optimized digital filters simultaneously in frequency and time domains. Further in some cases analog filters developed via reverse bilinear transformation of the found optimal digital filters are superiorly under the same set of QI’s then analog filters developed using search. In such cases using of digital filter-prototypes for design of analog filters is practical.

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24

Lutovac, Maja, Vlastimir Pavlovic, and Miroslav Lutovac. "Efficient digital filters with variable cut-off based on all-pass and sharpening digital filters." Facta universitatis - series: Electronics and Energetics 25, no. 3 (2012): 203–11. http://dx.doi.org/10.2298/fuee1203203l.

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All-pass digital filters are known as excellent prototype filters in many applications, such as control systems, signal processing and communications. Efficient filters can be designed because transfer function is very robust to small element changes. The drawback of digital filters based on all-pass filter sections is that they are not suitable for tuning and the design of filters with variable cut-off frequency. In this paper there is proposed a new design method suitable for the design of filters that may satisfy different attenuation specifications and variable cut-off based on low-order wave digital filters. The method is derived using computer algebra system.

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25

Singh, Gurpadam, and Neelam R. Prakash. "FPGA Implementation of Higher Order FIR Filter." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 4 (August 1, 2017): 1874. http://dx.doi.org/10.11591/ijece.v7i4.pp1874-1881.

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The digital Finite-Impulse-Response (FIR) filters are mainly employed in digital signal processing applications. The main components of digital FIR filters designed on FPGAs are the register bank to save the samples of signals, adder to implement sum operations and multiplier for multiplication of filter coefficients to signal samples. Although, design and implementation of digital FIR filters seem simple but the design bottleneck is multiplier block for speed, power consumption and FPGA chip area occupation. The multipliers are an integral part in FIR structures and these use a large part of the chip area. This limits the number of processing elements (PE) available on the chip to realize a higher order of filter. A model is developed in the Matlab/Simulink environment to investigate the performance of the desired higher order FIR filter. An equivalent FIR filter representation is designed by the Xilinx FIR Compiler by using the exported FIR filter coefficients. The Xilinx implementation flow is completed with the help of Xilinx ISE 14.5. It is observed how the use of higher order FIR filter impacts the resource utilization of the FPGA and it’s the maximum operating frequency.

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26

Hu, Dan Hua, Zhao Xiong Zeng, Jing Song Meng, and Chang Hua Zhang. "Implementation of the Variable Center Frequency Band-Pass Filter Based on FPGA." Advanced Materials Research 1049-1050 (October 2014): 642–45. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.642.

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Digital band-pass filters play a very important role in instrument design. For some special applications, such as corrosion inspection of buried oil or gas pipeline, more than one band-pass filter with different center frequencies are needed to process different frequency signals. FPGA (Field-Programmable Gate Array) are widely used in these applications because of its high compute velocity and flexibility. For low cost and high reliability purposes, it is expected that one digital filter with a fixed configuration parameters can serve as multi different center frequency digital filter. In this paper a design method is proposed to realize two different center frequency band-pass filters which have the same filtering effect. Through analysis of design process for FIR band-pass filter, it’s easy to find that if the ratios (filter’ sample rate of input data to its cut-off frequency) of two filters keep equal, the normalized frequency will also equal. Thus according to this, two band-pass filters can have the same coefficients only if they have the same ratio of sample rate to cut-off frequency. This relationship is discussed here and MATLAB experiment is used to prove its effectiveness. This method is already used to design filters in pipeline current mapper instrument to inspect pipeline corrosion.

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27

Wang, Wen Bin, Dao Yuan Liu, and Yu Qin Yao. "Research and Design of Digital down Converter Based on Software Defined Radio." Applied Mechanics and Materials 513-517 (February 2014): 1803–6. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1803.

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This paper makes a brief introduction on the current development trend of software radio and digital down converter status. The basic theoretical knowledge: Band-pass sampling theorem, digital signal orthogonal transformation theory, multi-rate signal processing theory. Based on these theories, use MATLAB complete the design and verification of mixing module, the extraction module (CIC filter, half-band filter and FIR filters), finally verify the correctness of the design, and implement DDC.

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28

FERDI, YOUCEF. "SOME APPLICATIONS OF FRACTIONAL ORDER CALCULUS TO DESIGN DIGITAL FILTERS FOR BIOMEDICAL SIGNAL PROCESSING." Journal of Mechanics in Medicine and Biology 12, no. 02 (April 2012): 1240008. http://dx.doi.org/10.1142/s0219519412400088.

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The goal of this paper is to describe some applications of fractional order calculus to biomedical signal processing with emphasis on the ability of this mathematical tool to remove noise, enhance useful information, and generate fractal signals. Three types of digital filters are considered, namely, lowpass differentiation filter, smoothing filter, and 1/fβ-noise generation filter. The filter impulse responses are functions of the fractional order and the sampling period only, and thus can be computed easily. Application examples are presented for illustrations.

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29

Wang, Ling Zhi. "Harmonic Energy Metering Algorithm Optimization." Advanced Materials Research 1055 (November 2014): 267–70. http://dx.doi.org/10.4028/www.scientific.net/amr.1055.267.

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It designed a set of the demand of special digital filter module. The module of the estimation of the computation and storage put a window interpolation algorithm and the comparison between the required computation and storage. Reactive power energy metering system is designed based on active power metering design to join the digital filter. It studied two kinds of design method of digital filter, such as corrugated cut choice better than snow. The method designs digital filter. In the platform, the special digital filter module, digital filter module and active reactive power energy metering system have carried on the simulation respectively.

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30

He, Juan, and Fei Qiao Xiong. "Design of Digital Filter Based on DSP." Advanced Materials Research 739 (August 2013): 624–27. http://dx.doi.org/10.4028/www.scientific.net/amr.739.624.

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A digital filter based on DSP is designed in this paper, which is achieved through using linear buffer and shift double operation addressing. At the same time, FTSK data input through using CCS5000 simulation and the FTSK modulation signal is processed to output the desired waveform and spectrum. Experiments show that it has characters of high accuracy, good stability, easy transplantation, strong practicality and flexibility.

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31

Soo-Chang Pei and Chien-Cheng Tseng. "Two dimensional IIR digital notch filter design." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 41, no. 3 (March 1994): 227–31. http://dx.doi.org/10.1109/82.279208.

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32

Nguyen, T. Q. "Digital filter bank design quadratic-constrained formulation." IEEE Transactions on Signal Processing 43, no. 9 (1995): 2103–8. http://dx.doi.org/10.1109/78.414772.

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LIU, JIE-CHERNG, and TENG-PIN LIN. "Novel prefilter structure for digital filter design." International Journal of Electronics 68, no. 2 (February 1990): 231–40. http://dx.doi.org/10.1080/00207219008921164.

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B�ez-L�pez, David, Gustavo Cabrera, Pablo Mart�nez, Gerardo Reyes, R. Jaroszynski, J. Luna, J. M. Ram�rez, and G. Espinosa Flores-Verdad. "Multimedia-based analog and digital filter design." Computer Applications in Engineering Education 6, no. 1 (1998): 1–8. http://dx.doi.org/10.1002/(sici)1099-0542(1998)6:1<1::aid-cae1>3.0.co;2-h.

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35

Vaidyanathan, P., and G. Beitman. "On prefilters for digital FIR filter design." IEEE Transactions on Circuits and Systems 32, no. 5 (May 1985): 494–99. http://dx.doi.org/10.1109/tcs.1985.1085726.

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36

Bruno, A. C., and P. Costa Ribeiro. "Digital filter design approach for SQUID gradiometers." Journal of Applied Physics 63, no. 8 (April 15, 1988): 2820–23. http://dx.doi.org/10.1063/1.340983.

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Lutovac, Miroslav D., Jelena D. Ćertić, and Ljiljana D. Milić. "Digital Filter Design Using Computer Algebra Systems." Circuits, Systems and Signal Processing 29, no. 1 (June 20, 2009): 51–64. http://dx.doi.org/10.1007/s00034-009-9119-2.

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Cappellini, V., P. Emiliani, A. Mecocci, and A. Montalto. "An expert system for digital filter design." Signal Processing 46, no. 2 (October 1995): 159–68. http://dx.doi.org/10.1016/0165-1684(95)00079-s.

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Schnier, T., X. Yao, and P. Liu. "Digital filter design using multiple pareto fronts." Soft Computing - A Fusion of Foundations, Methodologies and Applications 8, no. 5 (April 1, 2004): 332–43. http://dx.doi.org/10.1007/s00500-003-0290-2.

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ROGERS, Steve. "Analog and digital filter design using C." Control Engineering Practice 4, no. 8 (August 1996): 1191–92. http://dx.doi.org/10.1016/0967-0661(96)83723-3.

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Liu, Jun, and Rong Xing Guo. "Research and Design of Virtual FIR Digital Filter Based on LabVIEW." Applied Mechanics and Materials 241-244 (December 2012): 240–43. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.240.

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Digital filter technology is quite important in the signal processing field. This paper realizes digital filter designing by way of the virtual instrument technology, and this paper introduces the filter plat front panel and program frame diagram designing based on the FIR filter algorithm through the LabVIEW platform. Through the simulation, the virtual digital filter validates the designing accuracy. The digital filter achieves the ideal effect in filtering, which can be widely applied into the signal processing field, such as digital de-nosing, and experimental study, etc. Digital filter panel designing has broad application prospect and research value.

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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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Beqal Asmae, El, Kritele Loubna, Benhala Bachir, and Zorkani Izeddine. "Meta-heuristic techniques for optimal design of analog and digital filter." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 2 (August 1, 2020): 669. http://dx.doi.org/10.11591/ijeecs.v19.i2.pp669-679.

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In this paper, two Meta-heuristic techniques; namely Ant Colony Optimization (ACO) and Genetic Algorithm (GA) have been applied for the optimal design of digital and analog filters. Those techniques have been used to solve multimodal optimization problem in Infinite Impulse Response (IIR) filter design and to select the optimal component values from industrial series as well as to minimize the total design error of a 2nd order Sallen-Key active band-pass filter, also a comparison between the performances reached by those two Meta-heuristics was made in this article.

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Zhuang, Qiu Hui, Guo Jun Liu, Xiu Hua Fu, and San Qiang Wang. "Brain Electrical Signal Digital Processing System Design." Applied Mechanics and Materials 278-280 (January 2013): 958–61. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.958.

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Through the amplification system to extract the brain electrical signal, although already can be displayed, but is not clear; in addition, the analog signal into the computer to carry on the analysis, also must pass to convert analog signals to digital signals (A/D converter).Therefore the need for further use of digital processing, this paper adopts the digital way, on brain electrical analog signal digital filter, through the 40Hz low-pass filter and 50Hz filter, get clear, stable signal, to achieve the design objective.

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Memon, Tayab, Paul Beckett, and Amin Z. Sadik. "Sigma-Delta Modulation Based Digital Filter Design Techniques in FPGA." ISRN Electronics 2012 (November 14, 2012): 1–10. http://dx.doi.org/10.5402/2012/538597.

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In this paper efficient digital filter design techniques categorized as sigma-delta modulation based short word length (SWL) and multibit (or contemporary) techniques are reviewed in terms of hardware complexity, area, performance and power tradeoffs, synthesis issues, and algorithm versatility. More recent, general purpose DSP applications including classical LMS algorithms reported using sigma-delta modulation encoding are reviewed thoroughly. A small number of basic arithmetic circuits designed using sigma-delta modulation encoding and synthesized by using FPGAs are also described. Finally, recent FPGA based area-performance-power analysis of single-bit ternary FIR filtering is discussed and compared to its corresponding multi-bit system. This work shows that in most cases single-bit ternary FIR-like filters are able to outperform their equivalent multi-bit filters in terms of area, power, and performance.

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Aparna, A., and T. Vigneswaran. "DESIGN OF HIGH PERFORMANCE MULTIPLIERLESS LINEAR PHASE FINITE IMPULSE RESPONSE FILTERS." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (April 1, 2017): 66. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19564.

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This research work proposes the finite impulse response (FIR) filters design using distributed arithmetic architecture optimized for field programmable gate array. To implement computationally efficient, low power, high-speed FIR filter a two-dimensional fully pipelined structure is used. The FIR filter is dynamically reconfigured to realize low pass and high pass filter by changing the filter coefficients. The FIR filter is most fundamental components in digital signal processing for high-speed application. The aim of this research work is to design multiplier-less FIR filter for the requirements of low power and high speed various embedded applications.

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S. Khanande, Sachin, and S. J. Honade. "Design and Implementation of Recursive Least Square Adaptive Filter Using Block DCD approach." International Journal of Reconfigurable and Embedded Systems (IJRES) 4, no. 3 (November 1, 2015): 209. http://dx.doi.org/10.11591/ijres.v4.i3.pp209-212.

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<p>Due to the explosive growth of multimedia application and tremendous demands in Very Large Scale Integrated (VLSI), there is a need of high speed and low power digital filters for digital signal processing applications. In Digital Signal Processing (DSP) systems, Finite Impulse Response (FIR) filters are one of the most common components which is used, by convolving the input data samples with the desired unit sample response of the filter. The proposed work deals with the design and implementation of RLS adaptive filter using block DCD approach. The evaluation of speed, area and power for proposed work will be done. Also, the comparison of the proposed design with the existing will be carried out for various input combinations.</p>

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Saha, Suman Kumar, R. Kar, D. Mandal, and S. P. Ghoshal. "A Novel Firefly Algorithm for Optimal Linear Phase FIR Filter Design." International Journal of Swarm Intelligence Research 4, no. 2 (April 2013): 29–48. http://dx.doi.org/10.4018/jsir.2013040102.

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Optimal digital filter design in digital signal processing has thrown a growing influence on communication systems. FIR filter design involves multi-parameter optimization, on which the existing optimization algorithms do not work efficiently. For which different optimization techniques can be utilized to determine the impulse response coefficient of a filter and try to meet the ideal frequency response characteristics. In this paper, FIR low pass, high pass, band pass and band stop filters have been designed using a new meta-heuristic search method, called firefly algorithm. Firefly Algorithm is inspired by the flash pattern and characteristics of fireflies. The performance of the designed filters has been compared with that obtained by real coded genetic algorithm (RGA), standard PSO and differential evolution (DE) optimization techniques. Differential evolution (DE) is already one of the most powerful stochastic real-parameter optimization algorithms in current use. Here the firefly algorithm (FA) technique has proven a significant advantage. For the problem at hand, the simulation of designing FIR filters has been done and the simulation results demonstrate that Firefly algorithm is better than other relevant algorithms, not only in the convergence speed but also in the performance of the designed filter.

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Stamenkovic, Negovan. "Digital FIR filter architecture based on the residue number system." Facta universitatis - series: Electronics and Energetics 22, no. 1 (2009): 125–40. http://dx.doi.org/10.2298/fuee0901125s.

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In this paper, architecture of residue number system used in FIR filters, is presented. For many years residue number coding has been recognized as a system which provides capability for implementation of a high speed addition and multiplication. These advantages of residue number system coding for the high speed FIR filters design results from the fact that an digital FIR filter requires only addition and multiplication. The proposed FIR filter architecture is performed as series of modulo multiplication and accumulation across each modulo. A numerical example illustrates the principles of FIR filtering of an 32 order low pass filter. This architecture is compared with FIR filters direct synthesis. .

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Ren, Shan, Xin Zhao, and Wen Bin Zhang. "Design and Realization of FIR Digital Filter Based on MATLAB." Advanced Materials Research 490-495 (March 2012): 1867–70. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1867.

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Digital filter is one of the most important parts of digital signal processing. This paper proposes the method of using window function to design FIR filter based on MATLAB, according to the design basic principle of FIR digital filter. Filtering processing for measured signal showed that filtering effect of the filter achieved the expected results.

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