FIR Filter Design using Wavelet Coefficients

被引：0

作者：

Pushpavathi, K. P. ^{[1
]}

Kanmani, B. ^{[1
]}

机构：

[1] BMS Coll Engn, Dept Telecommun Engn, Bangalore, Karnataka, India

来源：

2019 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET 2019): ADVANCING WIRELESS AND MOBILE COMMUNICATIONS TECHNOLOGIES FOR 2020 INFORMATION SOCIETY | 2019年

关键词：

wavelets; FIR filters; window method;

D O I：

10.1109/wispnet45539.2019.9032718

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The recent developments in the field of digital signal processing makes use of the wavelet mathematical function. The multi-resolution ability of the wavelets makes it outperform Fourier transformations in terms of data compression and quality. This paper shows that wavelet coefficients can be considered as digital Finite Impulse Response (FIR) filter coefficients in the FIR filter design. Other most popular FIR filter design methods are the windowing method, Frequency sampling method and optimal filter design method. The paper also presents the comparison of the popularly used rectangular window method filter design with that of the wavelets.

引用

页码：410 / 415

页数：6