Design of scaling and wavelet filters as FIR and IIR filters and their applications

Author

El-Boghdadly, Neamat ; Sadek, Nayera

Author_Institution

Dept. of Electr. Eng., Alexandria Univ., Egypt

fYear

1998

fDate

24-26 Feb 1998

Abstract

The scaling and wavelet filters play a great role in the wavelet transform. They are used in the generation of the wavelet function by applying the filter implementation method. They are also used in the computation of DWT coefficients algorithms such as the Mallat algorithm implemented by filter banks. These filters coefficients are commonly computed from Daubechies wavelet bases. In this paper, we present another method for the design of scaling and wavelet filters based on the FIR and IIR PR-QMF bank satisfying the regularity condition. Then we apply the designed filters in speech and image data compression by using the Mallet algorithms, and compute between the obtained results and those obtained from using Daubechies wavelet bases

Keywords

FIR filters; IIR filters; data compression; image coding; quadrature mirror filters; speech coding; wavelet transforms; DWT coefficients algorithms; Daubechies wavelet bases; FIR filters; IIR filters; Mallat algorithm; PR-QMF bank; filter banks; filter implementation method; image data compression; regularity condition; scaling filters; speech compression; wavelet filters; wavelet function; wavelet transform; Algorithm design and analysis; Design methodology; Discrete wavelet transforms; Filter bank; Finite impulse response filter; IIR filters; Signal processing algorithms; Signal synthesis; Speech processing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 1998. NRSC '98. Proceedings of the Fifteenth National

Conference_Location

Cairo

Print_ISBN

0-7803-5121-5

Type

conf

DOI

10.1109/NRSC.1998.711480

Filename

711480