Signals.and.Systems.with.MATLAB.Computing.and.Simulink.Modeling.4th_Part66

Signals.and.Systems.with.MATLAB.Computing.and.Simulink.Modeling.4th_Part66

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Signals and Systems with MATLAB Computing and Simulink Modeling, Fourth Edition 11 77 Copyright © Orchard Publications Digital Filter Design with Simulink (11.109) The model is shown in Figure 11.58, and the input and output waveforms are shown in Figure 11.59. Figure 11.58. Model for Example 11.26 Figure 11.59. Input and output waveforms for the model of Figure 11.58 A demo model using fixed point Simulink blocks can be displayed by typing Hz () 0.25 0.147 10 . 9 z 1 + ------------------------ 0.103 z0 . 8 z 1
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Chapter 11 Analog and Digital Filters 11 78 Signals and Systems with MATLAB Computing and Simulink Modeling, Fourth Edition Copyright © Orchard Publications fxpdemo_parallel_form in MATLAB’s Command prompt. This demo is an implementation of the third order transfer function 11.6.5 The Digital Filter Design Block The Digital Filter Design block is included in the Simulink Signal Processing Blockset * and requires the installation of the Simulink program to create models related to digital filter design applications. The functionality of this block can be observed by dragging this block into a model and double-clicking it. When this is done, the Block Parameters dialog box appears as shown in Figure 11.60. As indicated on the left lower part of this box, we can choose the Response Type (Low Pass, High Pass, Band Pass, or Band Elimination), the Design Method (IIR or FIR) where an IIR filter can be Butterworth, Chebyshev Type I, Chebyshev Type II, or Elliptic, and FIR can be Window, Maximally Flat, etc., and the Window can be Kaiser, Hamming, etc. We must click on the Design Filter button at the bottom of the Block Parameters dialog box to update the specifications. Example 11.27 below is very similar to that of Example 11.23, Page 11 68. Example 11.27 The signal represented by the waveform of Figure 11.61 is the summation of the sinusoidal signals , , and defined in the MATLAB script below. t=0:pi/32:16*pi; x=sin(0.25.*t); y=2.*sin(0.75.*t+pi/6); z=5.*sin(1.5.*t+pi/3); plot(t,x+y+z); grid During transmission of this signal from its source to its destination, this signal is corrupted by the addition of unwanted Gaussian random noise. In this example, we will create a Simulink model that includes a digital filter to remove the Gaussian random noise. * Blocksets
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Signals.and.Systems.with.MATLAB.Computing.and.Simulink.Modeling.4th_Part66

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