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Ebook: Digital Signal Processing for Measurement Systems: Theory and Applications

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27.01.2024
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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




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




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


Content:
Front Matter....Pages i-xv
The Digital Signal Processing....Pages 1-4
Discrete-Time Signals and Systems....Pages 5-32
Signal Transformation from the Continuous Time to the Discrete Time Domain....Pages 33-55
Methods for the Reduction of the Leakage Errors....Pages 57-82
Architecture and Performance of DSP-Based Instruments....Pages 83-113
Anti-Aliasing Methods and Sampling Strategies....Pages 115-126
Dynamical Discrete Systems....Pages 127-177
Finite Impulse Response (FIR) Filters....Pages 179-220
Infinite Impulse Response (IIR) Filters....Pages 221-262
Back Matter....Pages 263-267


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


Content:
Front Matter....Pages i-xv
The Digital Signal Processing....Pages 1-4
Discrete-Time Signals and Systems....Pages 5-32
Signal Transformation from the Continuous Time to the Discrete Time Domain....Pages 33-55
Methods for the Reduction of the Leakage Errors....Pages 57-82
Architecture and Performance of DSP-Based Instruments....Pages 83-113
Anti-Aliasing Methods and Sampling Strategies....Pages 115-126
Dynamical Discrete Systems....Pages 127-177
Finite Impulse Response (FIR) Filters....Pages 179-220
Infinite Impulse Response (IIR) Filters....Pages 221-262
Back Matter....Pages 263-267
....
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