1985
DOI: 10.1109/tassp.1985.1164732
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The discrete prolate spheroidal filter as a digital signal processing tool

Abstract: The d i s c r e t e prolate spheriodal (DPS) f i l t e r i s one of the class of nonrecursive f i n i t e impulse response (FIR) f i l t e r s . The DPS f i l t e r , f i r s t introduced by TUFTS and FRANCIS (19701, i s superior t o other f i l t e r s i n t h i s c l a s s i n that i t has maximum energy concentration i n the frequency passband and minimum ringing i n the t i m e domain. DPS f i l t e r properties, provide information required t o construct the f i l t e r , and compare the properties of t h… Show more

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Cited by 34 publications
(24 citation statements)
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“…That is, they have a steadily decreasing response as the frequency is increased. Thus there is not a sharp distinction between passbands and stopbands, simply a smooth roll‐off as shown in Figure 3 of Mathews et al [1985]. Therefore DPS filters cannot reject and accept the desired frequency ranges as readily as filters based on a more ideal frequency response such as those based on Hamming windows.…”
Section: Signal Processing Paradigmsmentioning
confidence: 99%
“…That is, they have a steadily decreasing response as the frequency is increased. Thus there is not a sharp distinction between passbands and stopbands, simply a smooth roll‐off as shown in Figure 3 of Mathews et al [1985]. Therefore DPS filters cannot reject and accept the desired frequency ranges as readily as filters based on a more ideal frequency response such as those based on Hamming windows.…”
Section: Signal Processing Paradigmsmentioning
confidence: 99%
“…The extended sampling theorem [8], p.281, gives the form of signal x(t) as (2) with constant k := 2T B/π and with the usual definition of sinc(t) as sin(πt)/(πt). The Nyquist criterion for the bandpass signal is less restrictive in the size of the sampling interval T. Sampling for bandpass signals allows for larger T than a criterion that ignored the particular nature of the spectrum of the signal and based the sampling on criterion for band-limited signals.…”
Section: Bandpass Signals and Samplingmentioning
confidence: 99%
“…This was described for the DPSS in [2]. Just as for the standard DPSS vectors, the complete set of unit norm eigenvectors of matrix A 2 , see (12), for parameter τ are related to the corresponding set of vectors for parameter…”
Section: Properties Of the Prediction Coefficients For Bandpass Signalsmentioning
confidence: 99%
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“…We shall say that a function f(t) is timelimited if (9) The other important conclusion of the uncertainty principle in signal analysis is that a function f(t) cannot be simultaneously bandlimited and timelimitedjl41, An important question is what bandlimited signal contains maximum energy when it is cut-off in the time domain? In other words, what signal has the shortest time duration for a given energe loss.…”
mentioning
confidence: 99%