000			03025nam a2200445 a 4500
001			00013616
003			WSP
005			20260416153413.0
007			cr |nu|||unuuu
008			231222s2025 si ob 001 0 eng d
010			_a 2023057798
020			_a9789811284052 _q(ebook)
020			_a9811284059 _q(ebook)
020			_z9789811284045 _q(hbk.)
040			_aWSPC _beng _cWSPC
050		4	_aQA403.3
072		7	_aCOM _x016000 _2bisacsh
072		7	_aCOM _x094000 _2bisacsh
082	0	4	_a515/.2433 _223
049			_aMAIN
100	1		_aTang, Yuan Yan, _d1943-
245	1	0	_aWavelet theory approach to pattern recognition / _cYuan Yan Tang, Lixiang Xu.
250			_a3rd ed.
260			_aSingapore : _bWorld Scientific, _cc2025.
300			_a1 online resource (xviii, 544 p.).
490	1		_aSeries in machine perception and artificial intelligence, _x1793-0839 ; _vvol. 90
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Continuous wavelet transforms -- Multiresolution analysis and wavelet bases -- Some typical wavelet bases -- Basic principle of deep learning -- Step edge detection by wavelet transform -- Characterization of dirac edges with quadratic spline wavelet transform -- Construction of new wavelet function and application to curve analysis -- Skeletonization of ribbon-like shapes with new wavelet function -- Feature extraction by wavelet sub-patterns and divider dimensions -- Document analysis by reference line detection with 2D wavelet transform -- Chinese character processing with B-spline wavelet transform -- Classifier design based on orthogonal wavelet series -- Deep learning-based texture classification by scattering transform with wavelet -- An approach to image classification by deep learning-wavelet architecture -- Brain tumor identification based on wavelet and CNN-LSTM deep learning -- Speech enhancement method combining wavelet and deep learning.
520			_a"This 3rd edition tackles the basic principle of deep learning as well as the application of combination of wavelet theory with deep learning to pattern recognition. Five new chapters related to the combination of wavelet theory and deep learning are added with many novel research results. The useful reference text will benefit academics, researchers, computer scientists, electronic engineers and graduate students in the field of pattern recognition, image analysis, machine learning and electrical and electronic engineering"-- _cPublisher's website.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
650		0	_aWavelets (Mathematics)
650		0	_aOptical pattern recognition _xMathematics.
650		0	_aImage processing _xDigital techniques.
655		0	_aElectronic books.
700	1		_aXu, Lixiang.
830		0	_aSeries in machine perception and artificial intelligence ; _vvol. 90.
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/13616#t=toc
942			_cE-BOOK
999			_c49763 _d49763