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The design of digital filters using REDUCE
ACM SIGSAM Bulletin, 1992A central problem in signal processing is the filtering of signals. In the design of digital filters with the aid of the bilinear transform REDUCE [1] can be used with great benefit. A filter - as used in signal processing - is a circuitry or a processor that transforms incoming signals, e.g. suppresses noise.
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IEEE Transactions on Acoustics, Speech, and Signal Processing, 1983
A design technique is developed for a digital fan-pass filter. The technique involves the rotation of the magnitude response of a recursive half-plane symmetry filter which is, in turn, realized by shifting an ideal two-dimensional low-pass filter. The rotation has the effect of introducing the basic delay unit z-1/2instead of z-1. In order to overcome
M. Mulk, K. Obata, K. Hirano
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A design technique is developed for a digital fan-pass filter. The technique involves the rotation of the magnitude response of a recursive half-plane symmetry filter which is, in turn, realized by shifting an ideal two-dimensional low-pass filter. The rotation has the effect of introducing the basic delay unit z-1/2instead of z-1. In order to overcome
M. Mulk, K. Obata, K. Hirano
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Microcomputer program for the design of digital filters
Computer Methods and Programs in Biomedicine, 1985The program presented here is intended to be a design device and learning tool for digital filters. Digital filters designed with the program can be implemented by incorporation within the data analysis programs of the user. The program is written in BASIC for use with the IBM-PC, is intended to be user-friendly, and includes a great deal of filter ...
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Design of optimum interpolation filters for digital demodulators
1993 IEEE International Symposium on Circuits and Systems, 2002Interpolation filtering in digital demodulators with fixed input sampling rate is treated. The procedures for optimum interpolation filter design which account for the peculiarities of the digital demodulators are presented. Minimum mean square error (MMSE) interpolation filters are discussed, and a design procedure for standard input signals is given.
Vojin Zivojnovic, Heinrich Meyr
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On the design of recursive digital filters
IEEE Transactions on Circuits and Systems, 1976A change of variables is described which transforms the problem of designing a recursive digital filter to that of approximation by a ratio of polynomials on a finite interval. Some analytic techniqueS for the design of low-pass filters are presented, illustrating the use of the tfransformation.
K. Shenoi, M. Narasimha, A. Peterson
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A note on trapezoidal digital filter design
Computers and Biomedical Research, 1973Abstract A simple design procedure to achieve an ideal trapezoidal low pass filter whose transfer function is unity for f ⩽ FL, linearly goes to zero, in the interval FL FH is described. Design considerations for practical implementation of the filter and specific illustrations are included.
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1992
In this chapter we outline some of the best-known methods for designing non-recursive and recursive digital filters. Although almost any DSP algorithm or processor can reasonably be described as a ‘filter’, the term is commonly reserved for processors which transmit (or reject) well-defined frequency ranges.
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In this chapter we outline some of the best-known methods for designing non-recursive and recursive digital filters. Although almost any DSP algorithm or processor can reasonably be described as a ‘filter’, the term is commonly reserved for processors which transmit (or reject) well-defined frequency ranges.
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Design of digital filters for communication systems
ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Digital filters are finding extensive applications in modern communication systems because of their inherent advantages over their analog counterparts. Raised-cosine type of digital filters are used frequently in pulse shaping because of their ability to minimize the error probability caused by the Intersymbol Interference (ISI).
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Digital filter design in the quefrency domain
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1978The desired log magnitude and phase responses are realized by approximating the log frequency response (the complex logarithm of the frequency response). Since the log frequency response is represented by its Fourier series in terms of the quefrency response (the cepstrum of the impulse response), the desired log frequency response is approximated by ...
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A novel approach for optimal design of digital FIR filter using grasshopper optimization algorithm
ISA Transactions, 2021Richa Yadav, Ashwni Kumar, Manjeet Kumar
exaly