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Digital Signal Processing for Measurement Systems [recurso electrónico] : Theory and Applications / by Gabriele D'Antona, Alessandro Ferrero.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Information Technology: Transmission, Processing and StorageEditor: Boston, MA : Springer US, 2006Descripción: XV, 267 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • recurso en línea
ISBN:
  • 9780387286662
  • 99780387286662
Tema(s): Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD:
  • 621.382 23
Recursos en línea:
Contenidos:
The Digital Signal Processing -- Discrete-Time Signals and Systems -- Signal Transformation from the Continuous Time to the Discrete Time Domain -- Methods for the Reduction of the Leakage Errors -- Architecture and Performance of DSP-Based Instruments -- Anti-Aliasing Methods and Sampling Strategies -- Dynamical Discrete Systems -- Finite Impulse Response (FIR) Filters -- Infinite Impulse Response (IIR) Filters.
En: Springer eBooksResumen: Digital Signal Processing for Measurement Systems: Theory and Applications covers the theoretical as well as the practical issues which form the basis of the modern DSP-based instruments and measurement methods. It covers the basics of DSP theory before discussing the critical aspects of DSP unique to measurement science. Key Features: Approaches signal processing through a unique measurement science perspective Covers both theory and state-of-the-art applications, from the sampling theorem to the design of FIR/IIR filters Includes important topics, for example, problems that arise when sampling periodic signals and the relationship between the sampling rate and the SNR
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Item type Current library Collection Call number Status Date due Barcode
Libros electrónicos Libros electrónicos CICY Libro electrónico Libro electrónico 621.382 (Browse shelf(Opens below)) Available

The Digital Signal Processing -- Discrete-Time Signals and Systems -- Signal Transformation from the Continuous Time to the Discrete Time Domain -- Methods for the Reduction of the Leakage Errors -- Architecture and Performance of DSP-Based Instruments -- Anti-Aliasing Methods and Sampling Strategies -- Dynamical Discrete Systems -- Finite Impulse Response (FIR) Filters -- Infinite Impulse Response (IIR) Filters.

Digital Signal Processing for Measurement Systems: Theory and Applications covers the theoretical as well as the practical issues which form the basis of the modern DSP-based instruments and measurement methods. It covers the basics of DSP theory before discussing the critical aspects of DSP unique to measurement science. Key Features: Approaches signal processing through a unique measurement science perspective Covers both theory and state-of-the-art applications, from the sampling theorem to the design of FIR/IIR filters Includes important topics, for example, problems that arise when sampling periodic signals and the relationship between the sampling rate and the SNR

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