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Comparison of Compressed Sensing Based Algorithms for Sparse Signal Reconstruction
(IEEE, 2016)
Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper we investigate basis ...
Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
(Wiley-Blackwell, 2014)
Due to the sparse structure of ultra-wideband (UWB) multipath channels there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of ...
The Effect of Channel Models on Compressed Sensing Based UWB Channel Estimation
(IEEE, 2011)
Ultra-wideband (UWB) multipath channels are assumed to have a sparse structure as the received consecutive pulses arrive with a considerable time delay and can be resolved individually at the receiver. Due to this sparse ...
The effect of channel resolution on compressed sensing based Ultra-Wideband channel estimation [Kanal çözünürlü?ünün sıkıştırılmış algılama tabanlı ultra geni?ş bantlı kanal kesti?ri?mi?ne etki?si?]
(2011)
Ultra short pulses are transmitted in Ultra-Wideband (UWB) communications. As a result of this pulses at the receiver can be resolved individually due to the sparse structure of the channel. Due to these properties the UWB ...
Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing
(IEEE, 2014)
In wideband spectrum sensing compressive sensing approaches have been used at the receiver side to decrease the sampling rate if the wideband signal can be represented as sparse in a given domain. While most studies consider ...