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Joint Time-Frequency Analysis: Method and Application (Bk/Disk) - Hardcover

 
9780132543842: Joint Time-Frequency Analysis: Method and Application (Bk/Disk)

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25438-3 Prior to the '90s, joint time-frequency analysis (JTFA) had been confined to academic research because of the complexity of the algorithms and the limitations of computing power. But later progress in the area of JTFA and the PC technology have dramatically expanded JTFA applications. Addressing the area's growing demand for more comprehensive material, Joint Time-Frequency Analysis: Methods and Applications offers insight into successful applications and covers both linear and bilinear algorithms. More than a hundred illustrations and an extensive bibliography provide additional support. Joint Time-Frequency Analysis: Methods and Applications is separated into three parts. Part I reviews classical signal analysis fundamentals for JTFA. Theoretical developments are presented in Part II. Well-known time-frequency algorithms and two proven JTFA algorithms (time-frequency distribution series and adaptive spectrogram) are introduced and their pros and cons are also addressed. Part III discusses three real JTFA applications in the areas of radar image processing, biomedical signal analysis, and economy data analysis contributed by experts in their respective fields.Each chapter begins with a discussion of motivation, progresses to theoretical analysis, and concludes with numerical implementations. Key topics include: *Short-Time Fourier Transform and Gabor Expansion *Wavelets for JTFA *Wigner-Ville Distribution and Cohen's Class *Time-Frequency Distribution Series (Gabor Spectrogram) *Adaptive Time-Frequency Representation and Adaptive Spectrogram *Time-Variant Filtering Also included are two floppy disks containing a limited version of the Joint Time-Frequency Analyzer developed by National Instruments Corporation. Together with the dozen examples found in the book, the reader can quickly learn and experience different JTFA algorithms discussed in this book.

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25438-3

Prior to the '90s, joint time-frequency analysis (JTFA) had been confined to academic research because of the complexity of the algorithms and the limitations of computing power. But later progress in the area of JTFA and the PC technology have dramatically expanded JTFA applications.

Addressing the area's growing demand for more comprehensive material, Joint Time-Frequency Analysis: Methods and Applications offers insight into successful applications and covers both linear and bilinear algorithms. More than a hundred illustrations and an extensive bibliography provide additional support.

Joint Time-Frequency Analysis: Methods and Applications is separated into three parts. Part I reviews classical signal analysis fundamentals for JTFA. Theoretical developments are presented in Part II. Well-known time-frequency algorithms and two proven JTFA algorithms (time-frequency distribution series and adaptive spectrogram) are introduced and their pros and cons are also addressed. Part III discusses three real JTFA applications in the areas of radar image processing, biomedical signal analysis, and economy data analysis contributed by experts in their respective fields. Each chapter begins with a discussion of motivation, progresses to theoretical analysis, and concludes with numerical implementations. Key topics include:

  • Short-Time Fourier Transform and Gabor Expansion
  • Wavelets for JTFA
  • Wigner-Ville Distribution and Cohen's Class
  • Time-Frequency Distribution Series (Gabor Spectrogram)
  • Adaptive Time-Frequency Representation and Adaptive Spectrogram
  • Time-Variant Filtering

Also included are two floppy disks containing a limited version of the Joint Time-Frequency Analyzer developed by National Instruments Corporation. Together with the dozen examples found in the book, the reader can quickly learn and experience different JTFA algorithms discussed in this book.

"About this title" may belong to another edition of this title.

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Qian, Shie, Chen, Dapang
Published by Prentice Hall, 1996
ISBN 10: 0132543842 ISBN 13: 9780132543842
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