A performance comparison of the Teager-Kaiser operator and an adaptive notch filter

Author

DeBrunner, Victor ; Torres, Sebastian

Author_Institution

Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA

Volume

2

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

1679

Abstract

Tracking non-stationary narrow-band signals is an important problem in many DSP problems such as speech processing. We compare the performance of two such methods: the frequency-transform based notch filter and the energy separation algorithm. We show that the FTBNF tracks almost as well as the Teager-Kaiser operator in high SNR conditions, and that its performance is significantly better in low SNR conditions.

Keywords

adaptive filters; adaptive signal processing; all-pass filters; cascade networks; digital filters; filtering theory; frequency modulation; frequency-domain analysis; mathematical operators; notch filters; speech processing; tracking filters; transforms; white noise; DSP problems; FM; Teager-Kaiser operator; adaptive notch filter; additive white noise; all-pass filters; cascade structures; digital filters; energy separation algorithm; frequency modulation; frequency-transform based notch filter; high SNR; low SNR; nonstationary narrow-band signals tracking; performance comparison; speech processing; Adaptive filters; Approximation algorithms; Bandwidth; Digital signal processing; Frequency; Narrowband; Poles and zeros; Resonance light scattering; Signal processing; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.679188

Filename

679188