The aim of this book is to provide a coherent and structured presentation of the theory and applications of statistical signal processing in three sections:
Part 1: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digital filters.
Part 2: Model-based Signal Processing covers probability and information models, Bayesian inference, Wiener filter, adaptive filters, linear prediction and hidden Markov models.
Part 3: Applications of Signal Processing in Speech, Music, and Telecommunication explains the topics of speech and music processing, echo cancellation, deconvolution and channel equalization, and mobile communication signal processing.
More information on Wiley website
Matlab programs
Programs, experiments and animations for the individual chapters of this book
- Chapter 1 - Introduction
- Chapter 2 - Fourier Transform
- Chapter 3 - Z-Transform
- Chapter 4 - Filters
- Chapter 5 - Sampling
- Chapter 6 - Probability and Information
- Chapter 7 - Bayesian Inference
- Chapter 8 - Wiener Filter
- Chapter 9 - Adaptive Filters
- Chapter 10 - LPC
- Chapter 11 - HMMs
- Chapter 12 - PCA ICA
- Chapter 13 - Music
- Chapter 14 - Speech Processing
- Chapter 15 - Speech Enhancement
- Chapter 16 - Echo Cancellation
- Chapter 17 - Equalisation
- Chapter 18 - Mobile Communications
News
List of MPhil/PhD Projects in MultiMedia Mobile Digtial Signal Processing
Advanced Signal processing and Noise Reduction 3rd Ed, S. Vaseghi, John Wiley 2006
DeNoise Toolkit
This is a collection of established and new speech denoising methods developed at Brunel in collaboration with Southampton and UEA (Project sponsored by EPSRC).
Voice Morph
VoiceMorph is a software tool developed in our lab for analysis, modelling modification and of voice profile parameters including speaker correlates and Accent correlates of voice.
MSc Digital Signal Processing
Multimedia, communication and inteligent systems.