Digital Signal Processing for Measurement Systems Theory and Applications /
D'Antona, Gabriele.
Digital Signal Processing for Measurement Systems Theory and Applications / [recurso electrónico] : by Gabriele D'Antona, Alessandro Ferrero. - XV, 267 p. online resource. - Information Technology: Transmission, Processing and Storage . - Information Technology: Transmission, Processing and Storage .
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
9780387286662 99780387286662
10.1007/0-387-28666-7 doi
ENGINEERING.
MATHEMATICS.
WEIGHTS AND MEASURES.
ENGINEERING.
SIGNAL, IMAGE AND SPEECH PROCESSING.
MEASUREMENT SCIENCE, INSTRUMENTATION.
MEASURE AND INTEGRATION.
APPLICATIONS OF MATHEMATICS.
621.382
Digital Signal Processing for Measurement Systems Theory and Applications / [recurso electrónico] : by Gabriele D'Antona, Alessandro Ferrero. - XV, 267 p. online resource. - Information Technology: Transmission, Processing and Storage . - Information Technology: Transmission, Processing and Storage .
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
9780387286662 99780387286662
10.1007/0-387-28666-7 doi
ENGINEERING.
MATHEMATICS.
WEIGHTS AND MEASURES.
ENGINEERING.
SIGNAL, IMAGE AND SPEECH PROCESSING.
MEASUREMENT SCIENCE, INSTRUMENTATION.
MEASURE AND INTEGRATION.
APPLICATIONS OF MATHEMATICS.
621.382