DESIGN AND ANALYSIS OF ANALOG FILTERS A Signal ...

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10 DESIGN AND ANALYSIS OF ANALOG FILTERS: Chapter 1 Introduction
A Signal Processing Perspective 11 Example 1.6 The digital signals that are processed by various digital signal processing methods are often obtained from analog signals by means of an analog-to-digital converter. To satisfy the Nyquist Theorem, the sample rate must be greater than twice the highest frequency in the analog signal. Often, to help insure that the Nyquist Theorem is satisfied, the analog signal is first filtered by an analog lowpass filter, in order to deliberately limit the signal bandwidth. This is especially necessary when the bandwidth is limited to less than what the signal naturally has, in order to use a lower sample rate. In speech processing this is often done, where the sample rate is 8000 samples / s and the lowpass filter has, perhaps, a 3 dB cutoff frequency of 3000 Hz. This type of filter is referred to as an anti-aliasing filter. See, for example, Oppenheim and Schafer (1989). Example 1.7 Consider the demodulation of frequency modulated (FM) stereo-multiplexed signals, as transmitted by commercial, broadcast FM radio stations. After a received stereo-multiplexed signal is FM demodulated, the frequency spectrum could be represented as shown in Figure 1.7, where L+R indicates the sum of the left and Section 1.3 Applications of Analog Filters
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130 (f) (g) (h) DESIGN AND ANALYSIS
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CHAPTER 5 CHEBYSHEV TYPE II FILTERS
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6. 1 INTRODUCTION CHAPTER 6 ELLIPTI
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CHAPTER 7 BESSEL FILTERS Although a
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CHAPTER 8 OTHER FILTERS In this cha
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CHAPTER 10 PASSIVE FILTERS In this
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APPENDIX B CONTENTS OF THE ACCOMPAN
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APPENDIX D THE MATLAB m-FILE EXAMP6
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A Active filters, 359-390 advantage
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