Quantisation-Digital Communication Systems-Lecture Slides, Slides of Digital Communication Systems

Dr. Shurjeel Wyne delivered this lecture at COMSATS Institute of Information Technology, Attock for Digital Communication Systems course. In this he discussed: Quantisation, Process, Analogue-to-digital, Conversion, Discrete-level, Continuous, Signal, Signal-to-Noise, Ratio, Nonuniform

Typology: Slides

2011/2012

Uploaded on 07/05/2012

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Sources of Corruption in the sampled and quantised pulses

• Sampling and Quantization Effects

– Quantization (Granularity) Noise: Results when quantization

levels are not finely spaced apart enough to accurately

approximate input signal resulting in truncation or rounding

error.

– Quantizer Saturation or Overload Noise: Results when input

signal is larger in magnitude than highest quantization level

resulting in clipping of the signal.

– Timing Jitter: Error caused by a shift in the sampler position.

Can be isolated with stable clock reference.

Nonuniform Quantization

  • Nonuniform quantizers have unequally spaced levels
    • The spacing can be chosen to optimize the Signal-to-Noise Ratio for a particular type of signal
  • It is characterized by:
    • Variable step size
    • Quantizer size depend on signal size
  • Sometimes non-uniform spacing is preferred to uniform spacing
  • Many signals such as speech have a nonuniform distribution
  • Basic principle is to use fine quantization (small step size) for weak signals and coarse quantization (large step size) for strong signals