|
|
|
|
LEADER |
03041nam a22005775i 4500 |
001 |
978-0-387-28666-2 |
003 |
DE-He213 |
005 |
20151204160000.0 |
007 |
cr nn 008mamaa |
008 |
100301s2006 xxu| s |||| 0|eng d |
020 |
|
|
|a 9780387286662
|9 978-0-387-28666-2
|
024 |
7 |
|
|a 10.1007/0-387-28666-7
|2 doi
|
040 |
|
|
|d GrThAP
|
050 |
|
4 |
|a TK5102.9
|
050 |
|
4 |
|a TA1637-1638
|
050 |
|
4 |
|a TK7882.S65
|
072 |
|
7 |
|a TTBM
|2 bicssc
|
072 |
|
7 |
|a UYS
|2 bicssc
|
072 |
|
7 |
|a TEC008000
|2 bisacsh
|
072 |
|
7 |
|a COM073000
|2 bisacsh
|
082 |
0 |
4 |
|a 621.382
|2 23
|
100 |
1 |
|
|a D’Antona, Gabriele.
|e author.
|
245 |
1 |
0 |
|a Digital Signal Processing for Measurement Systems
|h [electronic resource] :
|b Theory and Applications /
|c by Gabriele D’Antona, Alessandro Ferrero.
|
264 |
|
1 |
|a Boston, MA :
|b Springer US,
|c 2006.
|
300 |
|
|
|a XVI, 268 p.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Information Technology: Transmission, Processing and Storage
|
505 |
0 |
|
|a 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.
|
520 |
|
|
|a 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.
|
650 |
|
0 |
|a Engineering.
|
650 |
|
0 |
|a Measure theory.
|
650 |
|
0 |
|a Applied mathematics.
|
650 |
|
0 |
|a Engineering mathematics.
|
650 |
|
0 |
|a Physical measurements.
|
650 |
|
0 |
|a Measurement.
|
650 |
1 |
4 |
|a Engineering.
|
650 |
2 |
4 |
|a Signal, Image and Speech Processing.
|
650 |
2 |
4 |
|a Measurement Science and Instrumentation.
|
650 |
2 |
4 |
|a Measure and Integration.
|
650 |
2 |
4 |
|a Applications of Mathematics.
|
700 |
1 |
|
|a Ferrero, Alessandro.
|e author.
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
776 |
0 |
8 |
|i Printed edition:
|z 9780387249667
|
830 |
|
0 |
|a Information Technology: Transmission, Processing and Storage
|
856 |
4 |
0 |
|u http://dx.doi.org/10.1007/0-387-28666-7
|z Full Text via HEAL-Link
|
912 |
|
|
|a ZDB-2-ENG
|
950 |
|
|
|a Engineering (Springer-11647)
|