Theory and Application of Digital Signal Processing

Rabiner, L. R.; Gold, B.; Yuen, C. K.

doi:10.1109/tsmc.1978.4309918

Cited by 1,278 publications

(181 citation statements)

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“…The compound pattern was displayed for a nominal duration of 2 set but was shaped by a raised-cosine (Hanning) temporal window (Rabiner and Gold, 1975) which modulated the contrast of the stimuli. Each component of the masker had a contrast of approx.…”

Section: General Methodsmentioning

confidence: 99%

Some observations on the masking effects of two-dimensional stimuli

Derrington¹,

Henning²

1989

Vision Research

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Ahatraet-Gratings that differ in orientation by as much as 62.5 deg from that of a signal grating raise the signal's threshold by nearly a log unit. The spatial-frequency tuning of the masking effect reaches a maximum slightly below the spatial frequency of the maskers but far from that of any quadratic distortion product. Further, the location of the peak does not depend much on the relative orientation of the signal and maskers thus making it unlikely that the masking effect can be explained in any simple way by the presence of visual nonlinearities. This illustrates the difficulty of attempting to explain human performance in even relatively simple discrimination experiments with models based on mechanisms tuned for spatial frequency and orientation.

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Section: General Methodsmentioning

confidence: 99%

Some observations on the masking effects of two-dimensional stimuli

Derrington¹,

Henning²

1989

Vision Research

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“…(21), we rewrite G(z) as follows [1,2] where the numerator order of G(z) is N = L 2 , and the denominator order is decided by the larger one between L 1 and L 2 , that is, M = Max{L 1 , L 2 }. Therefore, it can be seen that the denominator order is not lower than the numerator, that is, M t N. obtained magnitude responses are shown in Fig.…”

Section: Design Of Filters With Higher-order Denominatormentioning

confidence: 99%

Design of IIR digital filters with flat passband and equiripple stopband responses

Zhang

Yoshikawa

2001

Electron Comm Jpn Pt III

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SUMMARYIn the design of IIR digital filters, the method that utilizes the classic analog filter design theory to design analog filters and then obtain the corresponding digital filters by s z transformation is well-known. However, IIR digital filters obtained via the bilinear s z transformation have just equal-order numerator and denominator. Having unequal-order numerator and denominator will give more degrees of freedom in filter design. In this paper, we consider the design of IIR digital filters with unequal-order numerator and denominator, and propose a method for designing the flat passband and equiripple stopband filters in z-domain directly. First, we present a design method of IIR filters with flat stopband and equiripple passband responses. The flat stopband response can be easily obtained only by locating multiple zeros on the specified frequency points, while the equiripple passband response can be designed by using the Remez exchange algorithm and specifying the maximum magnitude error. Second, we can obtain IIR filters with flat passband and equiripple stopband responses via a magnitude transformation such that the passband and stopband become the corresponding stopband and passband, respectively. However, the numerator order of IIR filters obtained by the above method is equal to or higher than the denominator. Finally, we consider the design of IIR filters that have lower-order numerator than denominator, and present a method for designing the flat passband and equiripple stopband filters directly. © 2001 Scripta Technica, Electron Comm Jpn Pt 3, 84(11): 37 44, 2001

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“…ASSP-31, NO. 3, JUNE 1983 The relationship between the frequency response and the impulse response for antisymmetrical impulse response filters may be found in standard texts [ 7 ] . The filter design problem is one of obtaining a set of coefficients a(n) such that H(o) is the best approximation to some desired function D(w), over a given frequency range, with respect to some optimality criterion.…”

Section: Linear Phase Fir Filter Design Quadratic Programming Using Lmentioning

confidence: 99%

FIR filter design over a discrete powers-of-two coefficient space

Lim

Parker

1983

IEEE Trans. Acoust., Speech, Signal Process.

362

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Abstract-FIR digital fiiters with discrete coefficient values selected from the powers-of-two coefficient space are designed using the metbods of integer programming. The frequency responses obtained are shown to be superior to those obtained by simply rounding the coefficients. Both the weighted minimax and the weighted least square error criteria are considered. Using a weighted least square error aiterion, it is shown that it is possible to predict the improvement that can be expected when integer quadratic programming is used instead of simple coefficient rounding.

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Theory and Application of Digital Signal Processing

Cited by 1,278 publications

References 0 publications

Some observations on the masking effects of two-dimensional stimuli

Some observations on the masking effects of two-dimensional stimuli

Design of IIR digital filters with flat passband and equiripple stopband responses

FIR filter design over a discrete powers-of-two coefficient space

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