By Saeed V. Vaseghi
Multimedia sign Processing is a finished and obtainable textual content to the speculation and functions of electronic sign processing (DSP). The functions of DSP are pervasive and comprise multimedia platforms, mobile communique, adaptive community administration, radar, development acceptance, clinical sign processing, monetary facts forecasting, man made intelligence, selection making, regulate structures and se's.
This ebook is organised in to 3 significant elements making it a coherent and established presentation of the idea and purposes of electronic sign processing. more than a few very important subject matters are lined in easy sign processing, model-based statistical sign processing and their applications.
Part 1: uncomplicated electronic sign Processing offers an advent to the subject, discussing sampling and quantization, Fourier research and synthesis, Z-transform, and electronic filters.
Part 2: Model-based sign Processing covers likelihood and data types, Bayesian inference, Wiener clear out, adaptive filters, linear prediction hidden Markov versions and self reliant part analysis.
Part three: functions of sign Processing in Speech, song and Telecommunications explains the subjects of speech and track processing, echo cancellation, deconvolution and channel equalization, and cellular communique sign processing.
Covers track sign processing, explains the anatomy and psychoacoustics of listening to and the layout of MP3 track coder
Examines speech processing know-how together with speech versions, speech coding for cellphones and speech recognition
Covers single-input and multiple-inputs denoising equipment, bandwidth extension and the restoration of misplaced speech packets in functions corresponding to voice over IP (VoIP)
Illustrated all through, together with a variety of solved difficulties, Matlab experiments and demonstrations
Companion web site positive factors Matlab and C++ courses with digital copies of all figures.
This ebook is perfect for researchers, postgraduates and senior undergraduates within the fields of electronic sign processing, telecommunications and statistical info research. it's going to even be a worthwhile textual content to specialist engineers in telecommunications and audio and sign processing industries.
Read or Download Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications PDF
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Extra info for Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications
Springer-Verlag, New York. B. L. (1958) An Introduction to the Theory of Random Signals and Noise. McGraw-Hill, New York. 24 INTRODUCTION Ephraim Y. (1992) Statistical Model Based Speech Enhancement Systems. Proc. IEEE, 80 (10), pp. 1526–1555. G. (1968) Information Theory and Reliable Communication. Wiley, New York. G. (1963) Theory of Motion of Heavenly Bodies. Dover, New York. Haykin S. (1985) Array Signal Processing. Prentice-Hall, Englewood Cliffs, NJ. Haykin S. (1991) Adaptive Filter Theory.
2(b) shows a vector representation of the complex exponential in a complex plane with real (Re) and imaginary (Im) dimensions. The Fourier basis functions are periodic with a period of T0 = 1/F0 and an angular frequency of 0 = 2 F0 radians/second, where F0 is the frequency in units of Hz. 2 Fourier basis functions: (a) real and imaginary components of a complex sinusoid, (b) vector representation of a complex exponential. If the cosine is considered as the in-phase component then the sine is the quadrature component.
16. The array of sensors samples the incoming wave as it propagates in space. 14) where c is the speed of propagation of the wave in the medium. 15) where T0 is the period of the sine wave. By inserting appropriate corrective time delays in the path of the samples at each sensor, and then averaging the outputs of the sensors, the signals arriving from the direction will be time-aligned and coherently combined, whereas those arriving from other directions will suffer cancellations and attenuations.