1987
DOI: 10.21236/ada189612
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VLSI Implementations for Digital Signal Processing.

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Cited by 51 publications
(121 citation statements)
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“…as the function of the input sinusoid frequency. The normalized lattice and resonator-based structures, which are both orthogonal [5], produce the smallest worst-case transients (the smallest transients in the whole frequency range) and in all other experiments very similar results are observed.…”
Section: Illustrative Examplesupporting
confidence: 73%
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“…as the function of the input sinusoid frequency. The normalized lattice and resonator-based structures, which are both orthogonal [5], produce the smallest worst-case transients (the smallest transients in the whole frequency range) and in all other experiments very similar results are observed.…”
Section: Illustrative Examplesupporting
confidence: 73%
“…Experiments show that for orthogonal filter structures [5,6,7] C 1 << C 0 by orders of magnitudes most cases for the investigated transfer functions. There is no theoretical background elaborated to explain this behavior; however, for the all-pass output of these structures, which all orthogonal structures have as a common feature, C 1 =0.…”
Section: Transient Reductionmentioning
confidence: 95%
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“…For each pair of processing units, (PU i ,PU j ), after recording the intracoding rates in P frames as vectors, s i and s j , we zero-pad the vectors so that their lengths are the same and equal to a power of 2. Their (circular) cross-correlation [64] can be calculated efficiently via fast Fourier transform (FFT) by…”
Section: Figurementioning
confidence: 99%
“…See also [19,22,34] for other approaches from the control litterature. In signal processing, it is very common to cast the problem in terms of frequency domain digital filter design [31], [29], [5]. This is motivated by the observation that an ideal n th order differentiator has a frequency response of magnitude ω n .…”
Section: Introductionmentioning
confidence: 99%