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 Introduction to Time - Frequency and Wavelet Transform by Shie Qian, The practical, heuristic introduction to time-frequency and wavelet analysis.Heuristic approach focuses on numerical implementation and real-world applicationsPresents algorithms found in NI's Signal Processing Toolset and other commercial softwareGabor expansions, linear time-variant filters, and key wavelet transform conceptsBilinear time-frequency representationCombining time-frequency and wavelet decomposition In "Introduction to Time-Frequency and Wavelet Transforms," Shie Qian takes a heuristic approach to time-frequency and wavelet analysis, drawing upon the engineer's intuition--not abstract equations. Qian presents the essence of the subject: the information needed to identify applications, choose approaches, and apply time-frequency and wavelet analysis successfully. Each chapter starts with introductory background, moves to theoretical derivation, and concludes with practical numerical implementation. All algorithms can be found in commercial software, such as the Signal Processing Toolset from National Instruments, and all examples are available for download at NI's Web site. The book presents multiple real-world applications collected from NI's customers--many published here for the first time. Coverage includes: Discrete, period discrete, and orthogonal-like Gabor expansionsShort-time Fourier transformsFast algorithms for computing dual functionsLinear time-variant filtersFundamental wavelet transform conceptsBilinear time-frequency representations, including Wigner-Ville distribution and decompositionCohen's Class and other time-dependent power spectraCombining time-frequency and time-scale (wavelet) decomposition If you've wanted to utilize time-frequency andwavelet analysis, but you've been deterred by highly mathematical treatments, "Introduction to Time-Frequency and Wavelet Transforms" is the accessible, practical guide you've been searching for.
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