Detection of frequencies using least square error function

Author

Cheng, Qi ; Hua, Yingbo

Author_Institution

Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

Volume

5

fYear

1996

fDate

7-10 May 1996

Firstpage

2523

Abstract

We propose a new hypothesis testing method for detection of frequencies from a single measurement of data. The testing is performed on the least square error function. The global minimum value of the least square error function is shown to exhibit χ² distribution which leads to an efficient threshold setup for the proposed method. The new method is a combined detection-estimation technique and provides improved performance over several existing techniques

Keywords

error analysis; frequency estimation; least squares approximations; measurement; signal detection; detection-estimation technique; efficient threshold setup; frequency detection; global minimum; hypothesis testing method; least square error function; performance; single data measurement; Bismuth; Data engineering; Electronic equipment testing; Frequency estimation; Gaussian noise; Image retrieval; Information retrieval; Least squares approximation; Least squares methods; Performance evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.547977

Filename

547977