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