Signal Processing in Electronic Communications: For Engineers and Mathematicians: Woodhead Publishing Series in Electronic and Optical Materials
Autor M J Chapman, D P Goodall, N C Steeleen Limba Engleză Paperback – 31 mai 1997
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.
- Deals with signal processing as an important aspect of electronic communications in its role of transmitting information, and the language of its expression
- 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
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Specificații
ISBN-13: 9781898563303
ISBN-10: 1898563306
Pagini: 310
Dimensiuni: 176 x 240 x 14 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
Seria Woodhead Publishing Series in Electronic and Optical Materials
Locul publicării:United Kingdom
ISBN-10: 1898563306
Pagini: 310
Dimensiuni: 176 x 240 x 14 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
Seria Woodhead Publishing Series in Electronic and Optical Materials
Locul publicării:United Kingdom
Cuprins
Signals and linear system fundamentals; System responses; Fourier methods; Analogue filters; Discrete-time signals and systems; Discrete-time system responses; Discrete-time Fourier analysis; The design of digital filters; Aspects of speech processing; Appendices: The complex exponential; Linear predictive coding algorithms; Answers.
Recenzii
"Comprehensive: elegantly demonstrates the mathematics for creating or designing signal processing networks." --Kybernetica