Page 200 - Mechanical Engineers' Handbook (Volume 2)
P. 200

Mechanical Engineers’ Handbook: Instrumentation, Systems, Controls, and MEMS, Volume 2, Third Edition.



                                                                                    Edited by Myer Kutz



                                                                   Copyright   2006 by John Wiley & Sons, Inc.






                           CHAPTER 6
                           SIGNAL PROCESSING
                           John Turnbull
                           Case Western Reserve University
                           Cleveland, Ohio
                           1  FREQUENCY-DOMAIN                      3.1 z-Transforms            198
                             ANALYSIS OF LINEAR                     3.2  Design of FIR Filters  198
                             SYSTEMS                      189       3.3  Design of IIR Filters  201
                                                                    3.4  Design of Various Filters from
                           2  BASIC ANALOG FILTERS        191           Low-Pass Prototypes     203
                             2.1  Butterworth             193       3.5  Frequency-Domain Filtering  205
                             2.2  Tchebyshev              194
                             2.3  Inverse Tchebyshev      195    4  STABILITY AND PHASE
                             2.4  Elliptical              195       ANALYSIS                    206
                             2.5  Arbitrary Frequency Response      4.1  Stability Analysis     206
                                 Curve Fitting by Method of         4.2  Phase Analysis         206
                                 Least Squares            196       4.3  Comparison of FIR and IIR
                             2.6  Circuit Prototypes for Pole           Filters                 208
                                 and Zero Placement for
                                 Realization of Filters Designed  5  EXTRACTING SIGNAL FROM
                                 from Rational Functions  197       NOISE                       208
                           3  BASIC DIGITAL FILTER        197       REFERENCES                  208

            1   FREQUENCY-DOMAIN ANALYSIS OF LINEAR SYSTEMS
                           Signals are any carriers of information. Our objective in signal processing involves the en-
                           coding of information for the purpose of transmission of information or decoding the infor-
                           mation at the receiving end of the transmission. Unfortunately, the signal is often corrupted
                           by noise during our transmission, and hence it is our objective to extract the information
                           from the noise. The standard method most commonly used for this involves filters that exploit
                           some separation of the signal and noise in the frequency domain. To this end, it is useful to
                           use frequency-domain tools such as the Fourier transform and the Laplace transform in
                           designing and analyzing various filters. The Fourier transform of a function of a time is
                                                           1
                                                                             2
                                           F{ƒ(t)}   F( )        ƒ(t)e  j t  dt  j   1           (1)
                                                          2
                           For continuous systems, the transfer characteristics of a filter system is a function that gives
                           information of the gain versus frequency. The Laplace transform for a given time-domain
                           function is

                                                   L{ƒ(t)}   F(s)    ƒ(t)e  st  dt               (2)
                                                                  0
                           The steady-state Laplace transform (i.e., neglecting transients) for the derivative and integral
                           of a given function is


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