Discrete time signals Dag T. Wisland Spring 2014 Outline Impulse - - PowerPoint PPT Presentation

discrete time signals
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Discrete time signals Dag T. Wisland Spring 2014 Outline Impulse - - PowerPoint PPT Presentation

INF4420 Discrete time signals Dag T. Wisland Spring 2014 Outline Impulse sampling z Transform Frequency response Stability Spring 2014 Discrete time signals 2 Introduction More practical to do processing on sampled


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INF4420

Discrete time signals

Dag T. Wisland Spring 2014

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Spring 2014 Discrete time signals 2

Outline

  • Impulse sampling
  • z‐Transform
  • Frequency response
  • Stability
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Introduction

  • More practical to do processing on sampled

signals in many cases

  • Sampled + quantized signals = digital
  • Inputs and outputs are not sampled
  • How does sampling affect the signals?
  • Tools for analyzing sampled signals and systems

(“discrete Laplace transform”, the z‐transform)

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Introduction

  • We have already seen sample and hold circuits
  • We can also realize integrators, filters, etc. as

sampled analog systems—switched capacitor

  • techniques. Discrete time, continuous amplitude.
  • Digital processing is efficient and robust, usually

preferred where applicable. Sampling also applies to digital.

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Introduction

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Introduction

  • Sample a continuous time input signal at

uniformely spaced time points.

  • Output is a discrete sequence of values (in

theory).

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Introduction

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Sampling

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Laplace transform: Fourier transform:

Input signal

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Sampling

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Sampling

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Sampling

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Sampling

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Sampling

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Sampling

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Sampling

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Frequency response

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Frequency response

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Frequency response

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Frequency response

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Frequency response

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Frequency response

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Sampling rate conversion

  • Changing the sampling rate after sampling
  • We come back to this when discussing
  • versampled converters
  • Oversampling = sampling faster than the Nyquist

frequency would indicate

  • Upsampling is increasing the sampling rate

(number of samples per unit of time)

  • Downsampling is decreasing the sampling rate

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Downsampling

Keep every n‐th sample. Downsample too much: Aliasing

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Upsampling

Insert n zero valued samples between each original sample, and low‐pass filter. Requires gain to maintain the signal level.

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Discrete time filters

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Discrete time filters

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Stability

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IIR filters

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FIR filters

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Bilinear transform

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Sample and hold

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Sample and hold

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Sample and hold

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Sample and hold

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Sampled signal spectrum

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References

Gregorian and Temes, Analog MOS Integrated Circuits for Signal Processing, Wiley, 1986

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