"Multimedia Signal Processing" is a comprehensive and accessible
text to the theory and applications of digital signal processing
(DSP). The applications of DSP are pervasive and include multimedia
systems, cellular communication, adaptive network management,
radar, pattern recognition, medical signal processing, financial
data forecasting, artificial intelligence, decision making, control
systems and search engines.
This book is organised in to three major parts making it a
coherent and structured presentation of the theory and applications
of digital signal processing. A range of important topics are
covered in basic signal processing, model-based statistical signal
processing and their applications.
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 hidden Markov models and independent
component analysis.
Part 3: Applications of Signal Processing in Speech, Music and
Telecommunications explains the topics of speech and music
processing, echo cancellation, deconvolution and channel
equalization, and mobile communication signal processing.
Covers music signal processing, explains the anatomy and
psychoacoustics of hearing and the design of MP3 music coder
Examines speech processing technology including speech models,
speech coding for mobile phones and speech recognition Covers
single-input and multiple-inputs denoising methods, bandwidth
extension and the recovery of lost speech packets inapplications
such as voice over IP (VoIP) Illustrated throughout, including
numerous solved problems, Matlab experiments and demonstrations
Companion website features Matlab and C++ programs with electronic
copies of all figures.
This book is ideal for researchers, postgraduates and senior
undergraduates in the fields of digital signal processing,
telecommunications and statistical data analysis. It will also be a
valuable text to professional engineers in telecommunications and
audio and signal processing industries.
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