A Generalized Proportionate-Type Normalized Subband Adaptive Filter

11/17/2021
by   Kuan-Lin Chen, et al.
0

We show that a new design criterion, i.e., the least squares on subband errors regularized by a weighted norm, can be used to generalize the proportionate-type normalized subband adaptive filtering (PtNSAF) framework. The new criterion directly penalizes subband errors and includes a sparsity penalty term which is minimized using the damped regularized Newton's method. The impact of the proposed generalized PtNSAF (GPtNSAF) is studied for the system identification problem via computer simulations. Specifically, we study the effects of using different numbers of subbands and various sparsity penalty terms for quasi-sparse, sparse, and dispersive systems. The results show that the benefit of increasing the number of subbands is larger than promoting sparsity of the estimated filter coefficients when the target system is quasi-sparse or dispersive. On the other hand, for sparse target systems, promoting sparsity becomes more important. More importantly, the two aspects provide complementary and additive benefits to the GPtNSAF for speeding up convergence.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

10/16/2018

Study of Sparsity-Aware Subband Adaptive Filtering Algorithms with Adjustable Penalties

We propose two sparsity-aware normalized subband adaptive filter (NSAF) ...
10/04/2010

Regularizers for Structured Sparsity

We study the problem of learning a sparse linear regression vector under...
10/10/2018

Using Normalized Cross Correlation in Least Squares Optimizations

Direct methods for vision have widely used photometric least squares min...
09/18/2020

Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation

In this paper, we propose and analyze the sparsity-aware sign subband ad...
09/25/2014

MIST: L0 Sparse Linear Regression with Momentum

Significant attention has been given to minimizing a penalized least squ...
05/17/2013

Sparse Norm Filtering

Optimization-based filtering smoothes an image by minimizing a fidelity ...
06/05/2018

A penalty criterion for score forecasting in soccer

This note proposes a penalty criterion for assessing correct score forec...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.