Signal Processing in Electronic Communications
For Engineers and Mathematicians
- M J Chapman
- D P Goodall
- N C Steele, University of Coventry, UK
All preceding material in the book is drawn together in the final chapter on some important aspects of speech processing which provides an up-to-date example of the use of the theory. Topics considered include a speech production model, linear predictive filters, lattice filters and cepstral analysis, with application to recognition of non-nasal voiced speech and formant estimation.
In addition to course requirement for undergraduates studying electrical engineering, applied mathematics, and branches of computer science involving such signal processing as speak synthesis, computer vision and robotics, this book should provide a valuable reference source for post-graduate research work in industry and academia.
An elementary knowledge of algebra (e.g. partial fractions) is a prerequisite, and also calculus including differential equations. A knowledge of complex numbers and of the basic concept of a function of a complex variable is also needed.
Advanced undergraduate students reading electrical engineering, applied mathematics, and branches of computer science involved with signal processing (speech synthesis, computer vision and robotics)
- Published: June 1997
- Imprint: Woodhead Publishing
- ISBN: 978-1-898563-30-3
Comprehensive: elegantly demonstrates the mathematics for creating or designing signal processing networks., Kybernetica