A sampling theorem for the radon transform of finite complexity objects
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Approximation of Toeplitz matrices with circulant matrices is a well-known approach to reduce the computational complexity of linear equalizers. This paper presents a novel technique to compute linear equalizer coefficients in the frequency domain. It is s ...
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The increasing complexity of signal processing algorithms has lead to the need of developing the algorithms specifications using generic software implementations that become in practice the reference implementation. This fact can be particularly observed i ...
Recently a sampling theorem for a certain class of signals with finite rate of innovation (which includes for example stream of Diracs) has been developed. In essence, such non band-limited signals can be sampled at or above the rate of innovation. In the ...
We discuss a method to extract independent dynamical systems underlying a single or multiple channels of observation. In particular, we search for one dimensional subsignals to aid the interpretability of the decomposition. The method uses an approximate B ...
We discuss a method to extract independent dynamical systems underlying a single or multiple channels of observation. In particular, we search for one dimensional subsignals to aid the interpretability of the decomposition. The method uses an approximate B ...
Recently, statistically optimal detection methods for communication schemes based on chaos have been developed. The decision criterion is based on the well-known maximum likelihood criterion. Unfortunately, the calculation of the likelihoods is of exponent ...
In this paper, we present some reduced complexity attacks on the Alternating Step Generator (ASG). The attacks are based on a quite general framework and mostly benefit from the low sampling resistance of the ASG, and of an abnormal behavior related to the ...
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The increasing complexity of nowadays applications has lead to the need of more and more intensive specification and validation tasks by means of software implementations. Besides, as the complexity grows, it is becoming very hard to understand the specifi ...
We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths hi and degrees ni. We apply our results to derive spline-convolution-based algorithms for two closely related prob ...
We discuss a method to extract independent dynamical systems underlying a single or multiple channels of observation. In particular, we search for one dimensional subsignals to aid the interpretability of the decomposition. The method uses an approximate B ...