Back to Search Start Over

Optimal Prototype Filters for Near-Perfect-Reconstruction Cosine-Modulated Filter Banks.

Authors :
Yue Hao
Jiming Liu
Yu-Ping Wang
Yiu-ming Cheung
Hujun Yin
Licheng Jiao
Jianfeng Ma
Yong-Chang Jiao
Xuemei Xie
Guangming Shi
Xuyang Chen
Source :
Computational Intelligence & Security (9783540308195); 2005, p851-856, 6p
Publication Year :
2005

Abstract

In this paper, we propose a simple method for designing M-channel near-prefect-reconstruction (NPR) cosine-modulated filter banks (FBs). By employing the Parks-McClellan algorithm in constructing the prototype filter, an ideal magnitude response of the filter is achieved. Furthermore, the transition band of the prototype filter is constrained in such a way that it follows a cosine function. As a result, the FBs are approximately power complementary and therefore possess the NPR property. There are two main advantages in our proposed method. The first one is that no objective function in the optimization is explicitly required and the second one is that the resulting prototype filter is a global optimal solution. Compared with the traditional design method using general optimization methodology, the proposed method here is very simple and efficient. In addition, the stopband attenuation of the resulting FB is significantly higher than those offered by the traditional methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540308195
Database :
Supplemental Index
Journal :
Computational Intelligence & Security (9783540308195)
Publication Type :
Book
Accession number :
32885820
Full Text :
https://doi.org/10.1007/11596981_124