Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades. Key features include:* Numerous problems at the end of each chapter to aid development.

Signal processing --- Statistics --- Mathematics --- Communication Technology.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Signal processing --- Image processing