DocumentCode
387763
Title
On a delta modulation based real time autocorrelator
Author
Yuan, Jing ; Ou-Yang, Jing Zheng
Author_Institution
South China Institute of Technology, Guang Zhou, P.R.China
Volume
10
fYear
1985
fDate
31138
Firstpage
1441
Lastpage
1444
Abstract
Theoretical analysis indicates that the quantization error of a linear delta modulator (LDM) output can be divided into an equivalent PCM quantization error and a high frequency noise irrelevant to the input. Under certain treatment the autocorrelation of a DM output can approximate that of the input signal´s derivative. Simulation and experimental results prove that a delta modulation based autocorrelator (DMAC) is an efficient aid to extracting speech features.
Keywords
Autocorrelation; Chirp modulation; Data mining; Decoding; Delta modulation; Feature extraction; Linear predictive coding; Quantization; Speech recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Type
conf
DOI
10.1109/ICASSP.1985.1168094
Filename
1168094
Link To Document