Weighted Distance-Based Quantization for Distributed Estimation

An iterative approach for estimation of efficiency by weighted distance

Weighted Cepstral Distance Measures in Vector Quantization Based Speech Recognizers

measures to speaker independent wort recognizers based on This paper extends the use of wei hted cepstral distance vector quantization. Recognition results were obtained for two recognition methods: dynamic timewarping of vector codes and hidden Markov modeling. The experiments were carried out on a vocabulary of the ten digits ,and the word “oh”. Two kinds of spectral analysls were considered:...

Vector Quantization for Arbitrary Distance Function Estimation

| In this paper we apply the concepts of Vector Quantization (VQ) for the determination of arbitrary distance functions { a problem which has important applications in Logistics and Location Analysis. The input to our problem is the set of coordinates of a large number of nodes whose inter-node arbitrary \distances" have to be estimated. To render the problem interesting, non-trivial and realis...

Distributed estimation and quantization

There are three important consequences from Theorem 6. Corollary 1: If Construction C is applied on the extended Hamming code of length 2”, we obtain an abnotmal (2”, 3)2 code. CoroZlary2: If Construction C is applied on the punctured Preparata code of length 2’”-1, we obtain an abnormal (2’”-1, 4)3 code. Corollary 3: If Construction C is applied on the Preparata code of length 22m, we obtain a...

A Method for Defuzzication by Weighted Distance