Time-Frequency Signal Analysis and Processing

A Comprehensive Reference


  • Boualem Boashash, Queensland University of Technnology, Brisbane, Australia

Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory 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 insight into how to use TFSAP methods to develop the engineering application systems they are looking to implement.

New to this edition:

  • New sections on Efficient Fast Algorithms and a section "Getting Started" which allows users to start using the algorithms on simulated and real examples, compare the results presented in the book and then insert the algorithms in their own application and adapt as needed
  • Two new chapters, twenty three new sections, including the latest references
  • New topics in this edition include: Efficient algorithms (with source code), the EMD, the S transform, time-frequency modelling, more mathematical foundations, relationship between QTFDs and Wavelet Transforms; new advanced applications such as cognitive radio; watermarking; noise reduction in the time-frequency domain; a time-frequency approach for spike detection; algorithms for Time-Frequency Image Processing; a full new chapter dedicated to Time-Frequency applications in neuroscience; a practical new chapter to help new users get started.

View full description


University Researchers and R&D engineers in electrical and electronic engineering; signal, image and video processing engineers in universities and industry.


Book information

  • Published: November 2015
  • ISBN: 978-0-12-398499-9

Table of Contents

Part I: A Tutorial Introduction to Time-Frequency Methods
Chapter 2: Heuristic Formulation of Time-Frequency Distributions
Chapter 3: Theory of Quadratic TFDs

Part II: Fundamental Principles of TFSAP
Chapter 4: Time-Frequency Signal and System Analysis
Chapter 5: Design of Time-Frequency Distributions

Part III: Time-Frequency Methods
Chapter 6: Implementation and Realization of TFDs
Chapter 7: Measures, Performance Assessment and Enhancement
Chapter 8: Multi-Sensor and Time-Space Processing

Part IV: Statistical Techniques
Chapter 9: Random Processes and Noise Analysis
Chapter 10: Instantaneous Frequency Estimation and Localization
Chapter 11: Time-Frequency Synthesis and Filtering
Chapter 12: Detection, Classification and Estimation

Part V: Engineering Applications
Chapter 13: Time-Frequency Methods in Telecommunications
Chapter 14: Time-Frequency Methods in Radar, Sonar & Acoustics
Chapter 15: Time-Frequency Diagnosis and Monitoring
Chapter 16: Time-Frequency Methodologies in Neuro-Sciences
Chapter 17: Getting Started: A Practical Time-Frequency Tutorial