Holdings: Efficient algorithms for discrete wavelet transform

Efficient algorithms for discrete wavelet transform: with applications to denoising and fuzzy inference systems

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Bibliographic Details
Main Authors:	Shukla, K. K. (Author), Tiwari, Arvind K. (Author)
Format:	Electronic eBook
Language:	English
Published:	London [u.a.] Springer 2013
Series:	SpringerBriefs in computer science
Online Access:	BTU01 FHA01 FHM01 FHN01 FKE01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource
ISBN:	9781447149408 9781447149415
DOI:	10.1007/978-1-4471-4941-5

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adam_text	EFFICIENT ALGORITHMS FOR DISCRETE WAVELET TRANSFORM / SHUKLA, K. K. : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION FILTER BANKS AND DWT FINITE PRECISION ERROR MODELING AND ANALYSIS PVM IMPLEMENTATION OF DWT-BASED IMAGE DENOISING DWT-BASED POWER QUALITY CLASSIFICATION CONCLUSIONS AND FUTURE DIRECTIONS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. EFFICIENT ALGORITHMS FOR DISCRETE WAVELET TRANSFORM / SHUKLA, K. K. : 2013 ABSTRACT / INHALTSTEXT TRANSFORMS ARE AN IMPORTANT PART OF AN ENGINEER’S TOOLKIT FOR SOLVING SIGNAL PROCESSING AND POLYNOMIAL COMPUTATION PROBLEMS. IN CONTRAST TO THE FOURIER TRANSFORM-BASED APPROACHES WHERE A FIXED WINDOW IS USED UNIFORMLY FOR A RANGE OF FREQUENCIES, THE WAVELET TRANSFORM USES SHORT WINDOWS AT HIGH FREQUENCIES AND LONG WINDOWS AT LOW FREQUENCIES. THIS WAY, THE CHARACTERISTICS OF NON-STATIONARY DISTURBANCES CAN BE MORE CLOSELY MONITORED. IN OTHER WORDS, BOTH TIME AND FREQUENCY INFORMATION CAN BE OBTAINED BY WAVELET TRANSFORM. INSTEAD OF TRANSFORMING A PURE TIME DESCRIPTION INTO A PURE FREQUENCY DESCRIPTION, THE WAVELET TRANSFORM FINDS A GOOD PROMISE IN A TIME-FREQUENCY DESCRIPTION. DUE TO ITS INHERENT TIME-SCALE LOCALITY CHARACTERISTICS, THE DISCRETE WAVELET TRANSFORM (DWT) HAS RECEIVED CONSIDERABLE ATTENTION IN DIGITAL SIGNAL PROCESSING (SPEECH AND IMAGE PROCESSING), COMMUNICATION, COMPUTER SCIENCE AND MATHEMATICS. WAVELET TRANSFORMS ARE KNOWN TO HAVE EXCELLENT ENERGY COMPACTION CHARACTERISTICS AND ARE ABLE TO PROVIDE PERFECT RECONSTRUCTION. THEREFORE, THEY ARE IDEAL FOR SIGNAL/IMAGE PROCESSING. THE SHIFTING (OR TRANSLATION) AND SCALING (OR DILATION) ARE UNIQUE TO WAVELETS. ORTHOGONALITY OF WAVELETS WITH RESPECT TO DILATIONS LEADS TO MULTIGRID REPRESENTATION. THE NATURE OF WAVELET COMPUTATION FORCES US TO CAREFULLY EXAMINE THE IMPLEMENTATION METHODOLOGIES. AS THE COMPUTATION OF DWT INVOLVES FILTERING, AN EFFICIENT FILTERING PROCESS IS ESSENTIAL IN DWT HARDWARE IMPLEMENTATION. IN THE MULTISTAGE DWT, COEFFICIENTS ARE CALCULATED RECURSIVELY, AND IN ADDITION TO THE WAVELET DECOMPOSITION STAGE, EXTRA SPACE IS REQUIRED TO STORE THE INTERMEDIATE COEFFICIENTS. HENCE, THE OVERALL PERFORMANCE DEPENDS SIGNIFICANTLY ON THE PRECISION OF THE INTERMEDIATE DWT COEFFICIENTS. THIS WORK PRESENTS NEW IMPLEMENTATION TECHNIQUES OF DWT, THAT ARE EFFICIENT IN TERMS OF COMPUTATION REQUIREMENT, STORAGE REQUIREMENT, AND WITH BETTER SIGNAL-TO-NOISE RATIO IN THE RECONSTRUCTED SIGNAL DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	Shukla, K. K. Verfasser aut Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems K. K. Shukla ; Arvind K. Tiwari London [u.a.] Springer 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in computer science Tiwari, Arvind K. Verfasser aut https://doi.org/10.1007/978-1-4471-4941-5 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858729&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858729&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Shukla, K. K. Tiwari, Arvind K. Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems
title	Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems
title_auth	Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems
title_exact_search	Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems
title_full	Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems K. K. Shukla ; Arvind K. Tiwari
title_fullStr	Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems K. K. Shukla ; Arvind K. Tiwari
title_full_unstemmed	Efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems K. K. Shukla ; Arvind K. Tiwari
title_short	Efficient algorithms for discrete wavelet transform
title_sort	efficient algorithms for discrete wavelet transform with applications to denoising and fuzzy inference systems
title_sub	with applications to denoising and fuzzy inference systems
url	https://doi.org/10.1007/978-1-4471-4941-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858729&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858729&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT shuklakk efficientalgorithmsfordiscretewavelettransformwithapplicationstodenoisingandfuzzyinferencesystems AT tiwariarvindk efficientalgorithmsfordiscretewavelettransformwithapplicationstodenoisingandfuzzyinferencesystems

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