Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.547977