Title
Split Vector Quantization Of Signals In Multiple Transform Domains With Application To Speech
Abstract
A novel multiple transform split vector quantization (MTSVQ) scheme where each signal vector is projected into multiple transform domains is proposed. For a given transform domain representation, a codebook is designed for each equal energy subband. The coder selects codes from the domain that best represents the signal vector. Sample results using one dimensional speech signals confirm the superior performance of the proposed MTSVQ scheme.
Publication Date
12-1-2001
Publication Title
Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Number of Pages
186-188
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
17444365882 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/17444365882
STARS Citation
Mikhael, Wasfy B. and Krishnan, Venkatesh, "Split Vector Quantization Of Signals In Multiple Transform Domains With Application To Speech" (2001). Scopus Export 2000s. 37.
https://stars.library.ucf.edu/scopus2000/37