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This paper proposes a new adaptive algorithm to improve the least mean square (LMS) performance for the sparse system identification in the presence of the colored inputs. The l<inf>1</inf> norm penalty on the filter coefficients is incorporated into the quadratic LMS cost function to improve the LMS performance in sparse systems. Different from the(More)
High data rates and multipath propagation give rise to frequency-selectivity of wireless channels, while carrier frequency offsets and mobility-induced Doppler shifts introduce time-selectivity in wireless links. The resulting time- and frequency-selective (or doubly selective) channels offer joint multipath-Doppler diversity gains. Relying on a basis(More)
—The ability of orthogonal frequency-division mul-tiplexing systems to mitigate frequency-selective channels is impaired by the presence of carrier frequency offsets (CFOs). In this paper, we investigate identifiability issues involving high-resolution techniques that have been proposed for blind CFO estimation based on null subcarriers. We propose new(More)
—High data rates give rise to frequency-selective propagation , whereas carrier frequency-offsets and mobility-induced Doppler shifts introduce time-selectivity in wireless links. To mitigate the resulting time-and frequency-selective (or doubly selective) channels, optimal training sequences have been designed only for special cases: pilot symbol assisted(More)
We design novel space-time multipath (STM) coded multi-antenna transmissions over frequency-selective Rayleigh fading channels. We develop STM coded systems that guarantee the maximum possible space-multipath diversity, along with large coding gains, and high bandwidth efficiency for any number of transmit-receive antennas. By incorporating subchannel(More)
Clock synchronization across a network is essential for a large number of applications ranging from wired network measurements to data fusion in sensor networks. Earlier techniques are either limited to undesirable accuracy or rely on specific hardware characteristics that may not be available for certain systems. In this work, we examine the clock(More)
Singular value decomposition (SVD) is an important technique in signal processing. In the literature, the perturbation analysis of SVD has been well documented in the context of subspace decomposition. The contribution of the signal subspace to the perturbation of the singular vectors that span the signal subspace is often ignored as it is treated as second(More)
Recently, lattice reduction (LR) technique has caught great attention for multi-input multi-output (MIMO) receiver because of its low complexity and high performance. However, when the number of antennas is large, LR-aided linear detectors and successive interference cancellation (SIC) detectors still exhibit considerable performance gap to the optimal(More)