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47







                                                                       Signal Conditioning






                                                              47.1  Linear Operations
                                                                    Amplitude Scaling  •  Impedance Transformation  •  Linear
                                 Stephen A. Dyer                    Filtering
                                 Kansas State University      47.2  Nonlinear Operations

                                 Kelvin’s first rule of instrumentation states, in essence, that the measuring instrument must not alter the
                                 event being measured. For the present purposes, we can consider the instrument to consist of an input
                                 transducer followed by a signal-conditioning section, which in turn drives the data-processing and display
                                 section (the remainder of the instrument). We are using the term instrument in the broad sense, with the
                                 understanding that it may actually be a measurement subsystem within virtually any type of system.
                                   Certain requirements are imposed upon the transducer if it is to reproduce an event faithfully: It must
                                 exhibit amplitude linearity, phase linearity, and adequate frequency response. But it is the task of the
                                 signal conditioner to accept the output signal from the transducer and from it produce a signal in the
                                 form appropriate for introduction to the remainder of the instrument.
                                   Analog signal conditioning can involve strictly linear operations, strictly nonlinear operations, or some
                                 combination of the two. In addition, the signal conditioner may be called upon to provide auxiliary
                                 services, such as introducing electrical isolation, providing a reference of some sort for the transducer,
                                 or producing an excitation signal for the transducer.
                                   Important examples of linear operations include amplitude scaling, impedance transformation, linear
                                 filtering, and modulation.
                                   A few examples of nonlinear operations include obtaining the root-mean-square (rms) value, square
                                 root, absolute value, or logarithm of the input signal.
                                   There is a wide variety of building blocks available in either modular or integrated-circuit (IC) form
                                 for accomplishing analog signal conditioning. Such building blocks include operational amplifiers, instru-
                                 mentation amplifiers, isolation amplifiers, and a plethora of nonlinear processing circuits such as com-
                                 parators, analog multiplier/dividers, log/antilog amplifiers, rms-to-DC converters, and trigonometric
                                 function generators.
                                   Also available are complete signal-conditioning subsystems consisting of various plug-in input and output
                                 modules that can be interconnected via universal backplanes that can be either chassis- or rack-mounted.
                                 47.1 Linear Operations

                                 Three categories of linear operations important to signal conditioning are amplitude scaling, impedance
                                 transformation, and linear filtering.
                                 Amplitude Scaling
                                 The amplitude of the signal output from a transducer must typically be scaled—either amplified or
                                 attenuated—before the signal can be processed.





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