Time-frequency signal analysis and processing
著者
書誌事項
Time-frequency signal analysis and processing
Academic Press, 2016
Second edition
- : hbk.
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内容説明・目次
内容説明
Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require.
New to this edition:
New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed.
Two new chapters and twenty three new sections, including updated references.
New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter).
目次
Part 1: A TIME-FREQUENCY TUTORIAL1. Time-Frequency and Instantaneous Frequency Concepts2. Heuristic Formulation of Time-Frequency Distributions3. Theory and Design of High-Resolution Quadratic TFDs
PART II: FUNDAMENTAL PRINCIPLES OF TFSAP 4. Advanced Time-Frequency Signal and System Analysis5. Advanced Design and Specifications of TFDs
PART III: TIME-FREQUENCY METHODS 6. Advanced Implementation and Realization of TFDs7. Measures, Performance Assessment, and Enhancement of TFDs8. Multisensor, Multichannel, and Time-Space Processing
PART IV: TF STATISTICAL TECHNIQUES 9. Noise Analysis and Random Processes in the (t, f) Domain10. Instantaneous Frequency Estimation and Localization11. Time-Frequency Synthesis and Filtering12. Detection, Classification, and Estimation in the (t, f) Domain
PART V: ENGINEERING APPLICATIONS 13. Time-Frequency Methods in Communications14. Time-Frequency Methods in Radar, Sonar, and Acoustics15. Time-Frequency Diagnosis, Condition Monitoring and Fault Detection16. Time-Frequency Methodologies in Neurosciences17. Getting Started with a Practical and Efficient Time-Frequency Toolbox TFSAP-7.0
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