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Digital Signal Processing for Measurement Systems [electronic resource] :Theory and Applications / by Gabriele D’Antona, Alessandro Ferrero.

by D’Antona, Gabriele [author.]; Ferrero, Alessandro [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Technology: Transmission, Processing and Storage: Publisher: Boston, MA : Springer US, 2006.Description: XV, 267 p. online resource.ISBN: 9780387286662.Subject(s): Engineering | Mathematics | Weights and measures | Engineering | Signal, Image and Speech Processing | Measurement Science, Instrumentation | Measure and Integration | Applications of MathematicsDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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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