Digital Signal Processing [electronic resource]: An Introduction with MATLAB and Applications / by Peter O'Shea, Amin Z. Sadik, Zahir M. Hussain.

Por: O'Shea, Peter [author.]Colaborador(es): Sadik, Amin Z | [author.] | Hussain, Zahir M | [author.] | SpringerLink (Online service)Tipo de material: TextoTextoDescripción: XXI, 350p. online resourceISBN: 9783642155918 99783642155918Tema(s): Engineering | Engineering | SIGNAL, IMAGE AND SPEECH PROCESSING | CIRCUITS AND SYSTEMS | SYSTEMS ENGINEERINGClasificación CDD: 621.382 Recursos en línea: ir a documento
Contenidos:
Analog Signals and Systems -- Discrete and Digital Signals and Systems -- Selected Topics in Applied Signal Processing -- The Impact of Finite Wordlength Implementation -- Multirate Digital Signal Processing.
Resumen: In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.
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Analog Signals and Systems -- Discrete and Digital Signals and Systems -- Selected Topics in Applied Signal Processing -- The Impact of Finite Wordlength Implementation -- Multirate Digital Signal Processing.

In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.

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