Digital Signal Processing for Measurement Systems Theory and Applications
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...
Main Authors: | , |
---|---|
Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer US
2006, 2006
|
Edition: | 1st ed. 2006 |
Series: | Information Technology: Transmission, Processing and Storage
|
Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Summary: | 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. |
---|---|
Physical Description: | XVI, 268 p online resource |
ISBN: | 9780387286662 |