Journal ArticleDOI
A 6.7 KBPS vector sum excited linear prediction on TMS320C54X digital signal processor
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TLDR
A very efficient VSELP codebook with nine basis vectors and a heuristic K-selection method (to reduce the search space and complexity) is constructed to obtain the stochastic codebook vector.About:
This article is published in Microprocessors and Microsystems.The article was published on 2002-02-25. It has received 1 citations till now. The article focuses on the topics: Vector sum excited linear prediction & Code-excited linear prediction.read more
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Book ChapterDOI
SIMD design to solve partial differential equations
TL;DR: An interaction exists plausibly between throughput and communication between processor and storage unit, and in the example of the discrete solution of a Laplace's differential equation, such an interaction is examined.
References
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Journal ArticleDOI
An Algorithm for Vector Quantizer Design
Y. Linde,A. Buzo,Robert M. Gray +2 more
TL;DR: An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model or on a long training sequence of data.
Journal ArticleDOI
Neural networks: algorithms, applications, and programming techniques
TL;DR: The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural- network architectures on traditional digital computing systems.
Proceedings ArticleDOI
Code-excited linear prediction(CELP): High-quality speech at very low bit rates
Manfred R. Schroeder,B. S. Atal +1 more
TL;DR: A code-excited linear predictive coder in which the optimum innovation sequence is selected from a code book of stored sequences to optimize a given fidelity criterion, indicating that a random code book has a slight speech quality advantage at low bit rates.
Proceedings ArticleDOI
Vector sum excited linear prediction (VSELP) speech coding at 8 kbps
I.A. Gerson,M.A. Jasiuk +1 more
TL;DR: The vector sum excited linear prediction speech coder is presented, and it utilizes a codebook with a structure that allows for a very efficient search procedure.
Book ChapterDOI
Vector Sum Excited Linear Prediction (VSELP)
Ira A. Gerson,Mark A. Jasiuk +1 more
TL;DR: The VSELP speech coder was designed to achieve the highest possible speech quality with reasonable computational complexity while providing robustness to channel errors.