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IFAC Proceedings Volumes, 1982
Abstract Multirate filtering arises naturally in digital signal processing as an adaptation of the sampling rate to the banwidth of the signal at each step of the processing. It results in a significant reduction of machine complexity in many cases of practical importance.
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Abstract Multirate filtering arises naturally in digital signal processing as an adaptation of the sampling rate to the banwidth of the signal at each step of the processing. It results in a significant reduction of machine complexity in many cases of practical importance.
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Digital Filtering of Random Digits
SIAM Journal on Numerical Analysis, 1970Digital simulation of linear filter, investigating noise and rounding errors effects on decoding signals from lunar and interplanetary ...
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IEEE Transactions on Systems, Man, and Cybernetics, 1974
Martin H. Ackroyd, Pierre Lafrance
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Martin H. Ackroyd, Pierre Lafrance
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IEEE Transactions on Systems, Man, and Cybernetics, 1979
Richard W. Hamming, Samuel D. Stearns
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Richard W. Hamming, Samuel D. Stearns
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IEEE Transactions on Systems, Man, and Cybernetics, 1980
R. W. Hamming, C. K. Yuen
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R. W. Hamming, C. K. Yuen
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2005
A signal is defined as any physical quantity that varies with changes of one or more independent variables, and each can be any physical value, such as time, distance, position, temperature, or pressure (Oppenheim & Schafer, 1999; Elali, 2003; Smith, 2002). The independent variable is usually referred to as “time”.
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A signal is defined as any physical quantity that varies with changes of one or more independent variables, and each can be any physical value, such as time, distance, position, temperature, or pressure (Oppenheim & Schafer, 1999; Elali, 2003; Smith, 2002). The independent variable is usually referred to as “time”.
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