DocumentCode
2640118
Title
Backpropagation neural networks with short time frequency data
Author
Coutu, Gerard
Author_Institution
Dept. of Electr. Eng., California Univ., Irvine, CA, USA
Volume
2
fYear
1998
fDate
1-4 Nov. 1998
Firstpage
1349
Abstract
A major task in signal processing is the determination of the significant frequencies of received waveforms. Radar, sonar, and speech processing all employ techniques that rely on a short time frequency representation of a received waveform. This paper uses a backpropagation neural network to extract information about the presence of a target and, if present, the determination of the dominant frequency in the presence of clutter.
Keywords
Fourier transforms; backpropagation; neural nets; signal representation; waveform analysis; backpropagation neural networks; clutter; dominant frequency determination; radar processing; received waveforms; short time Fourier transform; short time frequency data; short time frequency representation; signal processing; sonar processing; speech processing; target; Backpropagation; Discrete Fourier transforms; Fourier transforms; Frequency domain analysis; Logistics; Neural networks; Supervised learning; Time frequency analysis; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5148-7
Type
conf
DOI
10.1109/ACSSC.1998.751545
Filename
751545
Link To Document