In this paper, a general framework is provided that transforms the problem of sparse linear equalizers (LEs) design into the problem of sparsest-approximation ...

Complexity of finite-impulse-response (FIR) equalizers is proportional to the square of the number of nonzero taps in the filter. FIR filters with non- ...

Nov 22, 2015 · In this paper, we develop a general framework for the design of sparse FIR equalizers that transforms the original problem into one of sparse ...

A general framework is provided that transforms the problem of sparse linear equalizers design into the problemof sparsest-approximation of a vector in ...

In this paper, a general framework is provided that transforms the problem of sparse linear equalizers (LEs) design into the problem of sparsest-approximation ...

Dec 13, 2024 · In this paper, a general framework is provided that transforms the problem of sparse linear equalizers (LEs) design into the problem of sparsest ...

Jun 13, 2016 · In this paper, a general framework is provided that transforms the problem of sparse linear equalizers (LEs) design into the problem of sparsest ...

Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir: A General Framework for the Design and Analysis of Sparse FIR Linear Equalizers.

In this work, we first propose a general framework that transforms the problem of design of sparse single-input single-output (SISO) and multiple-input multiple ...

In this paper, we present a new framework for designing sparse SISO and MIMO FIR equalizers. Specifically, we formulate both greedy algorithms and l1-norm ...