Publisher's Synopsis
Chapters One to Four of this book cover basic techniques such as Laplace and z-transforms, Fourier transforms, sampling theory and time-domain analysis. Chapters Five to Seven cover frequency-filter design - both as Finite and Infinite Impulse Response types. Optimal time-domain estimation techniques such as Wiener, Kalman and adaptive filters are covered in chapters Eight to Ten. The next major section, Chapters 11 to 13, covers spectral estimation - inlcuding material on the design of discrete and fast Fourier transforms and modern spectral analysis. This is followed, in chapters 14 to 17, by a consideration of coding techniques, including forward error correcting codes and data reduction techniques for voice and image data transmission. Finally, Chapters 18 to 20 cover some practical aspects of signal processing - including analogue and digital implementations and the use of matched filters in radar and communications. Detailed graphics support the text throughout and, together with consistent notation, help to make it easy to read. Tutorial sections and chapter summaries consolidate and check learning.
