Time-Frequency Signal Analysis and Processing, Second Edition: A Comprehensive Reference

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). A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics Applications written by leading researchers showing how to use TFSAP methods

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).

• A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals
• Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics
• Applications written by leading researchers showing how to use TFSAP methods

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). A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics Applications written by leading researchers showing how to use TFSAP methods Content: Part 1: A TIME-FREQUENCY TUTORIAL The Time-Frequency Approach: Essence and Terminology CHAPTER 1: Time-Frequency and Instantaneous Frequency Concepts CHAPTER 2: Heuristic Formulation of Time-Frequency Distributions CHAPTER 3: Theory and Design of High-Resolution Quadratic TFDs PART II: FUNDAMENTAL PRINCIPLES OF TFSAP CHAPTER 4: Advanced Time-Frequency Signal and System Analysis CHAPTER 5: Advanced Design and Specifications of TFDs PART III: TIME-FREQUENCY METHODS CHAPTER 6: Advanced Implementation and Realization of TFDs CHAPTER 7: Measures, Performance Assessment, and Enhancement of TFDs CHAPTER 8: Multisensor, Multichannel, and Time-Space Processing PART IV: TF STATISTICAL TECHNIQUES CHAPTER 9: Noise Analysis and Random Processes in the (t, f) Domain CHAPTER 10: Instantaneous Frequency Estimation and Localization CHAPTER 11: Time-Frequency Synthesis and Filtering CHAPTER 12: Detection, Classification, and Estimation in the (t, f) Domain PART V: ENGINEERING APPLICATIONS CHAPTER 13: Time-Frequency Methods in Communications CHAPTER 14: Time-Frequency Methods in Radar, Sonar, and Acoustics CHAPTER 15: Time-Frequency Diagnosis, Condition Monitoring and Fault Detection CHAPTER 16: Time-Frequency Methodologies in Neurosciences CHAPTER 17: Getting Started with a Practical and Efficient Time-Frequency Toolbox TFSAP-7.0 Index This book 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 A collection of theory and algorithms used for the analysis and processing of non-stationary signals, as found in a range of applications including telecommunications and biomedical engineering. It gives the university researchers insight into how to use TFSAP methods to develop engineering application systems that they are looking to implement.