Signal Processing - Non-Gaussian Signal Processing and Its Applications

Author: Qiu Tianshuang et al.
Publisher:
Publish Date: 2005-04-01
Features: This book draws on a wide range of materials and presents fresh and innovative content, aiming to fully reflect the new theories, technologies, methods, and applications of non-Gaussian signal processing both domestically and internationally, helping readers stay at the forefront of academic research in the field. This book is suitable for teachers and master's and doctoral students in electronic information-related disciplines at universities, as well as for researchers in the field of non-Gaussian signal processing. The book primarily introduces the theory, methods, and applications of non-Gaussian signal processing (including signal processing based on higher-order statistics and fractional-order statistics). The entire book is divided into 9 chapters, covering topics such as: Gaussian processes and second-order statistics, higher-order cumulants and higher-order spectra, alpha-stable distributions and fractional-order statistics, signal processing methods based on the above, and applications of digital signal processing based on fractional-order statistics.