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The applications of digital signal processing (DSP) in information and communication technology are pervasive and include multimedia technology, cellular mobile communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision making systems, control systems and search engines.
The aim of this book is to provide an accessible text to the theory and applications of DSP. This is an ambitious task as signal processing covers such a wide range of topics that it would take several volumes to cover the entire subject area. Nevertheless, I have tried to cover a set of core topics and applications that would enable interested readers to develop a practical understanding of the design and working of modern application of signal processing.
For example, the popular MP3 music coder is based on a combination of a number of signal processing tools including filter banks, discrete Fourier transform, discrete cosine transform, auditory masking thresholds, Huffman code and rate-distortion theory. All these topics are covered in this book as is their combined application in a single system such as MP3.
Part I Basic Digital Signal Processing
Fourier Analysis and Synthesis
z-Transform
Digital Filters
Sampling and Quantisation
Part II Model-Based Signal Processing
Information Theory and Probability Models
Bayesian Inference
Least Square Error, Wiener–Kolmogorov Filters
Adaptive Filters: Kalman, RLS, LMS
Linear Prediction Models
Hidden Markov Models
Eigenvector Analysis, Principal Component Analysis and Independent Component Analysis
Part III Applications of Digital Signal Processing to Speech, Music and Telecommunications
Music Signal Processing and Auditory Perception
Speech Processing
Speech Enhancement
Echo Cancellation
Channel Equalisation and Blind Deconvolution
Signal Processing in Mobile Communication