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CHAPTER 3. ANALOG SIGNAL PROCESSING

depends only on the product of the resistance and the capacitance. Thus, a cutoff frequency of 1 kHz occurs 10−3 1 = 103 or RC = = 1.59 × 10−4 . Thus resistance-capacitance combinations of 1.59 kΩ and when 2πRC 2π 100 nF or 10 Ω and 1.59 µF result in the same cutoff frequency. The phase shift caused by the circuit at the cutoff frequency precisely equals −π/4. Thus, below the cutoff frequency, phase is little affected, but at higher frequencies, the phase shift caused by the circuit becomes −π/2. This phase shift corresponds to the difference between a cosine and a sine. We can use the transfer function to find the output when the input voltage is a sinusoid for two reasons. First of all, a sinusoid is the sum of two complex exponentials, each having a frequency equal to the negative of the other. Secondly, because the circuit is linear, superposition applies. If the source is a sine wave, we know that vin (t) = A sin (2πf t) (3.16) A j2πf t e − e−j2πf t = 2j Since the input is the sum of two complex exponentials, we know that the output is also a sum of two similar complex exponentials, the only difference being that the complex amplitude of each is multiplied by the transfer function evaluated at each exponential’s frequency. vout (t) =

A A H (f ) ej2πf t − H (−f ) e−j2πf t 2j 2j

(3.17)

As noted earlier, the transfer function is most conveniently expressed in polar form: H (f ) = |H (f ) |ej∠H(f ) . Furthermore, |H (−f ) | = |H (f ) | (even symmetry of the magnitude) and ∠H (−f ) = −∠H (f ) (odd symmetry of the phase). The output voltage expression simplifies to A A |H (f ) |ej(2πf t+∠H(f )) − |H (f ) |e−j(2πf t+∠H(f )) 2j 2j = A|H (f ) | sin 2πf t + ∠H (f )

vout (t) =

(3.18)

The circuit’s output to a sinusoidal input is also a sinusoid, having a gain equal to the magnitude of the circuit’s transfer function evaluated at the source frequency and a phase equal to the phase of the transfer function at the source frequency. It will turn out that this input-output relation description applies to any linear circuit having a sinusoidal source. Exercise 3.14 (Solution on p. 95.) This input-output property is a special case of a more general result. Show that j2πfift the source can be written as the imaginary part of a complex exponential— v (t) = Im Ve — the output in is given by vout (t) = Im V H (f ) ej2πf t . Show that a similar result also holds for the real part. The notion of impedance arises when we assume the sources are complex exponentials. This assumption may seem restrictive; what would we do if the source were a unit step? When we use impedances to find the transfer function between the source and the output variable, we can derive from it the differential equation that relates input and output. The differential equation applies no matter what the source may be. As we have argued, it is far simpler to use impedances to find the differential equation (because we can use series and parallel combination rules) than any other method. In this sense, we have not lost anything by temporarily pretending the source is a complex exponential. In fact we can also solve the differential equation using impedances! Thus, despite the apparent restrictiveness of impedances, assuming complex exponential sources is actually quite general.

3.14 Designing Transfer Functions25 If the source consists of two (or more) signals, we know from linear system theory that the output voltage equals the sum of the outputs produced by each signal alone. In short, linear circuits are a special case 25 This

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7.2 Permutations and Combinations

2min
page 262

7.1 Decibels

2min
page 261

Solutions

2min
page 265

Solutions

11min
pages 255-260

6.37 Communication Protocols

3min
page 239

6.34 Message Routing

2min
page 235

6.33 Communication Networks

3min
page 234

6.31 Capacity of a Channel

2min
page 232

6.30 Noisy Channel Coding Theorem

2min
page 231

6.28 Error-Correcting Codes: Channel Decoding

5min
pages 228-229

6.26 Block Channel Coding

2min
page 225

6.24 Channel Coding

3min
page 223

6.20 Entropy

1min
page 218

6.15 Frequency Shift Keying

2min
page 212

6.13 Digital Communication

2min
page 209

6.5 Line-of-Sight Transmission

3min
page 202

6.1 Information Communication

3min
page 195

6.12 Signal-to-Noise Ratio of an Amplitude-Modulated Signal

2min
page 208

6.9 Channel Models

2min
page 205

5.16 Discrete-Time Filtering of Analog Signals

3min
page 179

5.5 Discrete-Time Signals and Systems

6min
pages 152-153

2.1 Complex Numbers

8min
pages 11-13

5.14 Filtering in the Frequency Domain

8min
pages 172-175

Solutions

2min
page 30

3.9 The Impedance Concept

2min
page 48

5.4 Amplitude Quantization

5min
pages 150-151

3.16 Power Conservation in Circuits

3min
page 62

3.12 Equivalent Circuits: Impedances and Sources

3min
page 53
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