Optimal design of Hermitian transform and vectors of both mask and window coefficients for denoising applications with both unknown noise characteristics and distortions

This paper proposes an optimal design of a Hermitian transform and vectors of both mask and window coefficients for denoising signals with both unknown noise characteristics and distortions. The signals are represented in the vector form. Then, they are transformed to a new domain via multiplying th...

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Bibliographic Details
Published in:	Signal processing Vol. 98; pp. 1 - 22
Main Authors:	Ling, Bingo Wing-Kuen, Ho, Charlotte Yuk-Fan, Subramaniam, Suba R., Georgakis, Apostolos, Cao, Jiangzhong, Dai, Qingyun
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.05.2014 Elsevier
Subjects:	Applied sciences Biological and medical sciences Computerized, statistical medical data processing and models in biomedicine Detection, estimation, filtering, equalization, prediction Distortion Exact sciences and technology Hermitian transform Information, signal and communications theory Mask operation Masks Mathematical analysis Medical management aid. Diagnosis aid Medical sciences Noise Noise reduction Optimization Orthogonal Procrustes Quadratic complex valued matrix equality constraint Quadratically constrained programming Signal and communications theory Signal processing Signal, noise Speech processing Telecommunications and information theory Transforms Vectors (mathematics) Windowing Windowing Hermitian transform Quadratically constrained programming Mask operation Orthogonal Procrustes Quadratic complex valued matrix equality constraint Performance evaluation Acoustic signal Noise reduction Hermite interpolation Hermitian matrix Algorithm Optimal design Complex variable method Time domain method Vocal signal Electrocardiography Signal processing
ISSN:	0165-1684, 1872-7557
Online Access:	Get full text
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