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Signal Processing and Modulation

Signal Processing and Modulation

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Electronic signals, whether they are constrained within wires, or distributed more ephemerally in a field, convey information encoded in their levels and fluctuations. The measurement and manipulation of these levels forms the basis of signal processing. These signals can be classified into broad classes dependent on the rate and nature of the variations that take place (Carr 1997).

Chapter Contents:

  • 2.1 The Nature of Electronic Signals
  • 2.1.1 Static and Quasi-Static Signals
  • 2.1.2 Periodic and Repetitive Signals
  • 2.1.3 Transient and Quasi Transient Signals
  • 2.2 Noise
  • 2.2.1 Thermal Noise
  • 2.2.1.1 Noise Power Spectrum for Thermal Noise
  • 2.2.2 Shot Noise
  • 2.2.2.1 Noise Power Spectrum for Shot Noise
  • 2.2.3 1/f Noise
  • 2.2.4 Avalanche Noise
  • 2.3 Signals
  • 2.4 Signals and Noise in the Frequency Domain
  • 2.4.1 The Fourier Series
  • 2.5 Sampled Signals
  • 2.5.1 Generating Signals in MATLAB
  • 2.5.2 Aliasing
  • 2.6 Filtering
  • 2.6.1 Filter Categories
  • 2.6.1.1 Butterworth
  • 2.6.1.2 Chebyshev
  • 2.6.1.3 Bessel
  • 2.6.1.4 Elliptic
  • 2.6.2 Filter Roll-off
  • 2.6.3 The Ear as a Filter Bank
  • 2.7 Analog Modulation and Demodulation
  • 2.7.1 Amplitude Modulation
  • 2.8 Frequency Modulation (FM)
  • 2.9 Linear Frequency Modulation
  • 2.10 Pulse Coded Modulation Techniques
  • 2.10.1 Pulse Amplitude Modulation
  • 2.10.2 Frequency Shift Keying
  • 2.10.3 Phase Shift Keying
  • 2.10.4 Stepped Frequency Modulation
  • 2.11 Convolution
  • 2.11.1 Linear Time Invariant Systems
  • 2.11.2 The Convolution Sum
  • 2.11.3 Worked Example: Pulsed Radar Echo Amplitude
  • 2.12 References

Inspec keywords: modulation; signal processing

Other keywords: modulation; signal processing; variation nature; variation rate; electronic signals

Subjects: Signal processing and detection; Signal processing theory; Modulation and coding methods

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