Paper Info
Title
A Memory Efficient Finite State Source Coding Algorithm for Audio MDCT Coefficients.
Abstract
To achieve a better trade-off between the vector dimension and the memory requirements of a vector quantizer (VQ), an entropy-constrained VQ (ECVQ) scheme with finite memory, called finite-state ECVQ (FS-ECVQ), is presented in this paper. The scheme consists of a finite-state VQ (FSVQ) and multiple component ECVQs. By utilizing the FSVQ, the inter-frame dependencies within source sequence can be effectively exploited and no side information needs to be transmitted. By employing the ECVQs, the total memory requirements of the FS-ECVQ can be efficiently decreased while the coding performance is improved. An FS-ECVQ, designed for the modified discrete cosine transform (MDCT) coefficients coding, was implemented and evaluated based on the Unified Speech and Audio Coding (USAC) scheme. Results showed that the FS-ECVQ achieved a reduction of the total memory requirements by about 11.3%, compared with the encoder in USAC final version (FINAL), while maintaining a similar coding performance.
Year
DOI
Venue
2014
10.1186/1687-4722-2014-22
EURASIP J. Audio, Speech and Music Processing
Keywords
Field
DocType
Memory Requirement, Vector Dimension, Length Function, Current Block, Arithmetic Coder
Dimension (vector space),Source code,Computer science,Finite state,Coding (social sciences),Artificial intelligence,Pattern recognition,Modified discrete cosine transform,Algorithm,Speech recognition,Length function,Encoder,Quantization (signal processing)
Journal
Volume
Issue
ISSN
2014
1
1687-4722
Citations 
PageRank 
References 
0
0.34
26
Authors
3
Name
Order
Citations
PageRank
Sumxin Jiang172.87
Rendong Ying27519.11
Pei-Lin Liu323144.49