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Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
This work extends compressed sensing theory to settings where the entries of the test vectors exhibit structured statistical dependencies, enabling the recovery of high-dimensional sparse signals from relatively few linear observations in the form of projections onto a collection of test vectors. Expand
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Compressed channel sensing
This paper proposes sparse channel estimation methods based on convex/linear programming, based on recent advances from the theory of compressed sensing. Expand
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Toeplitz-Structured Compressed Sensing Matrices
The problem of recovering a sparse signal x Rn from a relatively small number of its observations of the form y = Ax Rk, where A is a known matrix and k « n, has recently received a lot of attentionExpand
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Baseband Volterra filters for implementing carrier based nonlinearities
A diagonal coordinate representation for Volterra filters is developed and exploited to derive efficient Voltera filter implementations for processing carrier based input signals. Expand
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Blind equalization and identification of nonlinear and IIR systems-a least squares approach
A deterministic approach to blind nonlinear channel equalization and identification is presented. Expand
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Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles in haystacks), provided the measurements are noiseless. Expand
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Polyphase Nonlinear Equalization of Time-Interleaved Analog-to-Digital Converters
We develop a polyphase NonLinear EQualizer (pNLEQ) which is capable of simultaneously mitigating distortion generated by both the on-chip circuitry and mismatches due to time interleaving. Expand
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High-speed mid-infrared hyperspectral imaging using quantum cascade lasers
We report on a standoff chemical detection system using widely tunable external-cavity quantum cascade lasers (ECQCLs) to illuminate target surfaces in the mid infrared (λ = 7.4 – 10.5 μm).Expand
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Novel trace chemical detection algorithms: a comparative study
We provide a comparative performance and complexity analysis of several classes of algorithms as a function of noise levels, error distribution, scene complexity, and spatial degrees of freedom. Expand
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An approach to adaptive beam-forming for wide-band systems using a subband decomposition
  • G. Raz
  • Mathematics
  • Proceedings of the IEEE Sensor Array and…
  • 16 March 2000
The purpose of this work is to introduce two variations of an approach to adaptive beam-forming for wide-band sensor array systems using a subband decomposition. Expand
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