An analog wavelet transform chip

Author

Edwards, R. Timothy ; Godfrey, Michael D.

Author_Institution

Dept. of Electr. Eng., Stanford Univ., CA, USA

fYear

1993

fDate

1993

Firstpage

1247

Abstract

The theory and implementation in subthreshold analog CMOS technology of a circuit which performs continuous wavelet decompositions of a one-dimensional (e.g., audio) input are described. The analog wavelet outputs are the output of a logarithmically scaled bank of bandpass filters; each band is sampled at a rate proportional to the Nyquist rate of the highest frequency content of that band. The result is a matrix of discrete points describing the input signal as a function of both frequency and time. The filter function of each band is Gaussian shaped in order to best resolve the uncertainty relation between time and frequency at each sampled point

Keywords

CMOS integrated circuits; analogue processing circuits; neural chips; wavelet transforms; Gaussian shaped; Nyquist rate; analog wavelet transform chip; continuous wavelet decompositions; frequency content; logarithmically scaled bank; subthreshold analog CMOS technology; uncertainty relation; Band pass filters; CMOS analog integrated circuits; Continuous wavelet transforms; Discrete wavelet transforms; Filtering; Frequency conversion; Gaussian processes; Time frequency analysis; Uncertainty; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1993., IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-0999-5

Type

conf

DOI

10.1109/ICNN.1993.298736

Filename

298736