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The complexity of the analysis method in the voice and image processing applications

Author: CaoHua
Tutor: TongQinYe；QianMingQi
School: Zhejiang University
Course: Biomedical Engineering
Keywords: Speaker Identification MFCC parameters KC complexity characteristics License Plate Location
CLC: R-39
Type: Master's thesis
Year: 2004
Downloads: 132
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Abstract


At this stage, most of the traditional method of signal processing is based on the linear theory , while the signal itself is not linear , we use linear method to deal with non-linear signal maximum likelihood approximation does not truly reflect the signal the nature of things , which we need to study the nonlinear method to deal with non - linear signal . The purpose of this paper is nonlinear approach to signal processing . In this paper, a complexity measure in speaker recognition , license plate positioning , and achieved gratifying results . It can be said , nonlinear approach will play an increasingly important role in the study of signal processing . Speaker recognition , this paper do the following research : 1. The KC complex characteristics that can effectively reflect the personal characteristics of the speaker . 2. Establishment of speaker identification system based on traditional MFCC Mel Cepstrum and this new feature (KC complex characteristics ) , text-dependent and text independent speaker identification system design . License plate positioning , we do the following : 1 . Asked the the KC complex characteristics of different module features a reaction on the license plate area of interest and background module mapping license plate location . 2. This article also special study module license plate positioning validity in the case of the vertical bar texture interference background .

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CLC: > Medicine, health > Medical research methods
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