Detection Theory: Applications and Digital Signal Processing
Ralph Dieter Hippenstiel, Hippenstiel D. HippenstielBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
Continuous Signals and Systems with MATLAB is the first undergraduate text fully focused on continuous systems. It presents all of the material needed to master the subject and its related MATLAB problem-solving techniques. The authors cover all of the traditional topics and include chapters on system design, state-space techniques, linearizing nonlinear systems, and the design and analysis of analog filters. They also discuss the five representations of continuous systems and explain how to go from one representation to another.
Synopsis
Continuous Signals and Systems with MATLAB is the first undergraduate text fully focused on continuous systems. It presents all of the material needed to master the subject and its related MATLAB problem-solving techniques. The authors cover all of the traditional topics and include chapters on system design, state-space techniques, linearizing nonlinear systems, and the design and analysis of analog filters. They also discuss the five representations of continuous systems and explain how to go from one representation to another.
Booknews
This graduate textbook explains the theory behind signal detection for radar and digital communications systems. Hippenstiel (Naval Postgraduate School) examines the fast Fourier transform and the wavelet transform, hypothesis testing, non-parametric and sequential detection, and the detection of dynamic signals in both white and colored Gaussian noise. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Editorials
This graduate textbook explains the theory behind signal detection for radar and digital communications systems. Hippenstiel (Naval Postgraduate School) examines the fast Fourier transform and the wavelet transform, hypothesis testing, non-parametric and sequential detection, and the detection of dynamic signals in both white and colored Gaussian noise. Annotation c. Book News, Inc., Portland, OR (booknews.com)