Código QR (código de barras bidimensional)

Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification

We develop a recursive least squares (RLS) type algorithm with a minimax concave penalty (MCP) for adaptive identification of a sparse tap-weight vector that represents a communication channel. The proposed algorithm recursively yields its estimate of the tap-vector, from noisy streaming observation...

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Principais autores: Bowen Li, Suya Wu, Erin E. Tripp, Ali Pezeshki, Vahid Tarokh
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Adaptive filtering
EM algorithm
minimax concave penalty (MCP)
sparse system identification
Online adgang:https://ieeexplore.ieee.org/document/10522635/
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