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A general framework for the design and analysis of sparse FIR linear equalizers
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Complexity of linear finite-impulse-response (FIR) equalizers is proportional to the square of the number of nonzero taps in the filter. This makes equalization of channels with long impulse responses using either zero-forcing ...
Quasi-sparsest solutions for quantized compressed sensing by graduated-non-convexity based reweighted ?1minimization
(
European Signal Processing Conference, EUSIPCO
, 2016 , Conference Paper)
In this paper, we address the problem of sparse signal recovery from scalar quantized compressed sensing measurements, via optimization. To compensate for compression losses due to dimensionality reduction and quantization, ...
On quantized compressed sensing with saturated measurements via convex optimization
(
European Signal Processing Conference, EUSIPCO
, 2016 , Conference Paper)
In this paper, we address the problem of sparse signal recovery, from multi-bit scalar quantized compressed sensing measurements, where the saturation issue is taken into account. We propose a convex optimization approach, ...
Design and analysis framework for sparse FIR channel shortening
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
A major performance and complexity limitation in broadband communications is the long channel delay spread which results in a highly-frequency-selective channel frequency response. Channel shortening equalizers (CSEs) are ...
A General Framework for Designing Sparse FIR MIMO Equalizers Based on Sparse Approximation
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
In broadband communications, the long channel delay spread, defined as the duration in time, or samples, over which the channel impulse response (CIR) has significant energy, is too long and results in a highly-frequency-selective ...
Sparsifying dictionary analysis for FIR MIMO channel-shortening equalizers
(
IEEE
, 2016 , Conference Paper)
In this paper, we propose a general framework that transforms the problems of designing sparse finite-impulse response channel-shortening equalizers and target impulse response filters for multiple antenna systems into the ...