000			03341nam a22003137a 4500
005			20220905000054.0
006			a|||||r|||| 00| 0
007			ta
008			220408b ||||| |||| 00| 0 eng d
020			_q9781984607829 (e-book)
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aEBOP TK 5102.5 _bF68 2018
245			_aFourier transform- signal processing / _cedited by Olga Moreira.
260			_aOakville, Ontario : _bArcler Press, _cc2018.
300			_axxii, 253 pages : _bcolor illustrations
336			_2rdacontent _atext _btxt
337			_2rdamedia _acomputer
338			_2rdacarrier _aonline resource
500			_3To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
504			_aIncludes bibliographical references and index.
505			_aChapter 1: Seven Pivotal Theorems of Fourier Analysis, Signal Analysis, Numerical Analysis and Number Theory Chapter 2: Henstock-Kurzweil Integral Transforms and the Riemann-Lebesgue Lemma Chapter 3: Generalization of Interpolation DFT Algorithms and Frequency Estimators With High Image Component Interference Rejection Chapter 4: Vectorial Signatures for Pattern Recognition Chapter 5: Fourier Transform-Based Color Space for Optical Microscopic Image Processing Chapter 6: Joint Multiband Signal Detection and Cyclic Spectrum Estimation From Compressive Samples Chapter 7: Speech Steganography Using Wavelet and Fourier Transforms Chapter 8: Time-Varying Bispectral Analysis of Visually Evoked Multi-Channel Eeg Chapter 9: Nonstationary Signal in Radar Signal Processing Chapter 10: Uncertainty Principle of the Local Polynomial Fourier Transform Chapter 11: Separation and Localization of Multiple Distributed Wideband Chirps Using the Fractional Fourier Transform Chapter 12: Quantum and Classical Discrete Fractional Fourier Transforms Chapter 13: Fractional Fourier Transform Analysis Chapter 14: Simplified Fractional Fourier Transform Chapter 15: Modified S-Transform For Time-Frequency Synchrony Analysis Chapter 16: Design of Warped Stretch Transform Chapter 17: The Use of Continuous Wavelet Transform Based on the Fast Fourier Transform in the Analysis of Multi-Channel Electrogastrography Recordings Chapter 18: Comparative Study of New Signal Processing to Improve S/N Ratio of Seismic Data
520			_aThe Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and cosines. The Fourier Transform shows that any waveform can be re-written as the sum of sinusoidal functions. This book presents an introduction to the principles of the fast Fourier transform. The book covers topics of FFTs, frequency domain filtering, and applications to video and audio signal processing. This authoritative book provides comprehensive coverage of practical Fourier analysis.
541			_eEBOP00049 _n1
546			_3In English text.
650			_aSignal processing _94659 _xDigital techniques.
700			_aMoreira, Olga, editor. _94684
856	4	0	_fBibliotex. _3Electronic Resources _zhttps://www.bibliotex.com/product/fourier-transform-signal-processing50102620
942			_2lcc _cEB _hTK 5102.5 F68 2018 _kEBOP
999			_c1583 _d1583