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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 ...
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 ...
Iterative Receiver for DS-CDMA Systems in the Presence of Time-Varying Channels
(IEEE, 2008)
In this paper we present an efficient iterative receiver structure of tractable complexity for joint multiuser detection and multichannel estimation (JDE) of direct-sequence code-division multiple-access systems operating ...
Unconditional maximum likelihood approach for localization of near-field sources in 3-D space
(IEEE, 2004)
Since maximum likelihood (ML) approaches have better resolution performance than the conventional localization methods in the presence of less number and highly correlated source signal samples and low signal to noise ...
Iterative channel estimation techniques for uplink MC-CDMA systems
(IEEE, 2007)
In this work maximum likelihood (ML) channel estimation for uplink multicarrier code-division multiple-access (MC-CDMA) systems is considered in the presence of frequency fading channel. The expectation-maximization (EM)- ...
Channel estimation for MIMO-OFDM systems in fixed broadband wireless applications
(IEEE, 2007)
Systems employing multiple transmit and receive antennas known as multiple input multiple output (MIMO) systems can be used with OFDM to improve the resistance to channel impairments. Thus the technologies of OFDM and MIMO ...
An efficient joint data detection and channel estimation technique for uplink MC-CDMA systems based on SAGE algorithm
(IEEE, 2007)
This paper is concerned with joint channel estimation and data detection for uplink multicarrier code-division multiple-access (MC-CDMA) systems in the presence of frequency fading channel. The detection and estimation ...
Support vector machines based target tracking techniques
(IEEE, 2006)
This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ...
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 ...