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A parallel algorithm for the optimal detection of a noisy curve

โœ Scribed by P. Bertolazzi; M. Pirozzi

Publisher
Elsevier Science
Year
1984
Weight
473 KB
Volume
27
Category
Article
ISSN
0734-189X

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โœฆ Synopsis

In this paper the problem of recognizing a black curve in a noisy environment using a multiprocessor system is investigated. A dynamic programming parallel algorithm which can solve that image processing problem is presented. It is shown that, under hypothesis of unbounded parallelism and using a simple parallel architecture, the algorithms convergence can be obtained in a number of steps which is proportional to the length of the curve. The extension of the algorithm to the case of bounded parallelism is presented.

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A fast algorithm for parallel model combination for noisy speech recognition
โœ Tai-Hwei Hwang; Hsiao-Chuan Wang ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 223 KB

Based on the log-normal assumption, parallel model combination (PMC) provides an effective method to adapt the cepstral means and variances of speech models for noisy speech recognition. In addition, the log-add method has been derived to adapt the mean by ignoring the cepstral variance during the p