We consider in this paper the problem of designing digital filters for non-uniformly sampled signals with-out any previous reconstruction of the equivalent uni-formly sampled signal. In a first step, we propose a filtering method based on a numerical approximation of the convolution integral or differential equations, which is applicable to finite impulse response filters. The second method uses digitization of an equivalent analog filter and may be applied to infinite impulse re-sponse filters. Numerical examples show the validity of the theoretical analysis. 1
Linear Finite Impulse Response (FIR) models for signals in Paley-Wiener space are developed in this ...
Decimating a uniformly sampled signal a factor D involves low-pass anti-alias filtering with normali...
Decimating a uniformly sampled signal a factor D involves low-pass antialias filtering with normaliz...
A digital filter with finite impulse response is developed for interpolating a bandlimited signal at...
– This paper deals with reconstruction of non-uniformly sampled bandlimited continuous-time signals ...
Includes bibliographical references (page 47)This paper presents a method for determining the\ud opt...
Digital analysis and processing of signals inherently relies on the existence of methods for reconst...
The recovery of a signal from so-called generalized samples is a problem of designing appropriate li...
This paper presents an example application of digital alias-free signal processing, where a sequence...
International audienceThis chapter targets the synthesis and the design of filters using nonuniforml...
Continuous-time signals arising in many applications can often be modeled as the outputs of analog s...
This paper is a contribution to the definition of a new kind of digital signal processing chain. It ...
International audienceCapturing and storing samples only when needed is a way to ensure a drastic re...
The generalized sampling theorem states that any analog signal whose spectrum is limited to 1/T can ...
A general temporal approach to the design of modulated filter banks is presented. A general framewor...
Linear Finite Impulse Response (FIR) models for signals in Paley-Wiener space are developed in this ...
Decimating a uniformly sampled signal a factor D involves low-pass anti-alias filtering with normali...
Decimating a uniformly sampled signal a factor D involves low-pass antialias filtering with normaliz...
A digital filter with finite impulse response is developed for interpolating a bandlimited signal at...
– This paper deals with reconstruction of non-uniformly sampled bandlimited continuous-time signals ...
Includes bibliographical references (page 47)This paper presents a method for determining the\ud opt...
Digital analysis and processing of signals inherently relies on the existence of methods for reconst...
The recovery of a signal from so-called generalized samples is a problem of designing appropriate li...
This paper presents an example application of digital alias-free signal processing, where a sequence...
International audienceThis chapter targets the synthesis and the design of filters using nonuniforml...
Continuous-time signals arising in many applications can often be modeled as the outputs of analog s...
This paper is a contribution to the definition of a new kind of digital signal processing chain. It ...
International audienceCapturing and storing samples only when needed is a way to ensure a drastic re...
The generalized sampling theorem states that any analog signal whose spectrum is limited to 1/T can ...
A general temporal approach to the design of modulated filter banks is presented. A general framewor...
Linear Finite Impulse Response (FIR) models for signals in Paley-Wiener space are developed in this ...
Decimating a uniformly sampled signal a factor D involves low-pass anti-alias filtering with normali...
Decimating a uniformly sampled signal a factor D involves low-pass antialias filtering with normaliz...