DAntona, Gabriele.

Digital Signal Processing for Measurement Systems Theory and Applications / [electronic resource] : by Gabriele DAntona, Alessandro Ferrero. - XVI, 268 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.

ZDB-2-ENG

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

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.

TK5102.9 TA1637-1638 TK7882.S65

621.382