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Time-Frequency Analysis Techniques and their Applications (Hardcover)
Loot Price: R2,964
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Time-Frequency Analysis Techniques and their Applications (Hardcover)
Expected to ship within 12 - 17 working days
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Most of the real-life signals are non-stationary in nature. The
examples of such signals include biomedical signals, communication
signals, speech, earthquake signals, vibration signals, etc.
Time-frequency analysis plays an important role for extracting the
meaningful information from these signals. The book presents
time-frequency analysis methods together with their various
applications. The basic concepts of signals and different ways of
representing signals have been provided. The various time-frequency
analysis techniques namely, short-time Fourier transform, wavelet
transform, quadratic time-frequency transforms, advanced wavelet
transforms, and adaptive time-frequency transforms have been
explained. The fundamentals related to these methods are included.
The various examples have been included in the book to explain the
presented concepts effectively. The recently developed
time-frequency analysis techniques such as, Fourier-Bessel series
expansion-based methods, synchrosqueezed wavelet transform,
tunable-Q wavelet transform, iterative eigenvalue decomposition of
Hankel matrix, variational mode decomposition, Fourier
decomposition method, etc. have been explained in the book. The
numerous applications of time-frequency analysis techniques in
various research areas have been demonstrated. This book covers
basic concepts of signals, time-frequency analysis, and various
conventional and advanced time-frequency analysis methods along
with their applications. The set of problems included in the book
will be helpful to gain an expertise in time-frequency analysis.
The material presented in this book will be useful for students,
academicians, and researchers to understand the fundamentals and
applications related to time-frequency analysis.
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