[[abstract]]This paper proposes a novel noise-insensitive approach to blind channel estimation using Shalvi and Weinstein's (1994) blind deconvolution criteria. It is based on the relation between the associated equalizer and the nonblind minimum mean square error (MMSE) equalizer reported by Feng, Hsi and Chi (1999). As a by-product, the design of the MMSE equalizer is also presented without training phase. The proposed approach and the designed MMSE equalizer are then justified through computer simulation[[fileno]]2030157030059[[department]]電機工程學
Recently, an algorithm for blind (without training sequence) and direct (without prior estimation of...
Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly b...
We present necessary and sufficient conditions for blind equalization/deconvolution (without observi...
Adaptive channel equalization without resorting to a training sequence is often referred to as blind...
[[abstract]]In this paper, we show that Shalvi and Weinstein's (1994) blind deconvolution criteria a...
[[abstract]]© 2000 Institute of Electrical and Electronics Engineers-This correspondence shows that ...
[[abstract]]This correspondence shows that the Shalvi and Weinstein (1994) blind deconvolution crite...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
International audienceA new blind equalization technique of non-minimum phase communication channels...
Due to multipath propagation characteristics of frequency-selective channels, inter-symbol interfere...
Blind equalisation of single input multiple output FIR channels can be reformulated as the problem o...
In high speed digital transmission over bandlimited channels, one of the principal impairments, besi...
The problem of filtering a source of known statistics in noise and/or interference of unknown statis...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
Recently, an algorithm for blind (without training sequence) and direct (without prior estimation of...
Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly b...
We present necessary and sufficient conditions for blind equalization/deconvolution (without observi...
Adaptive channel equalization without resorting to a training sequence is often referred to as blind...
[[abstract]]In this paper, we show that Shalvi and Weinstein's (1994) blind deconvolution criteria a...
[[abstract]]© 2000 Institute of Electrical and Electronics Engineers-This correspondence shows that ...
[[abstract]]This correspondence shows that the Shalvi and Weinstein (1994) blind deconvolution crite...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
International audienceA new blind equalization technique of non-minimum phase communication channels...
Due to multipath propagation characteristics of frequency-selective channels, inter-symbol interfere...
Blind equalisation of single input multiple output FIR channels can be reformulated as the problem o...
In high speed digital transmission over bandlimited channels, one of the principal impairments, besi...
The problem of filtering a source of known statistics in noise and/or interference of unknown statis...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
Recently, an algorithm for blind (without training sequence) and direct (without prior estimation of...
Tsatsanis and Xu have applied the constrained minimum output variance (CMOV) principle to directly b...
We present necessary and sufficient conditions for blind equalization/deconvolution (without observi...