Discrete time signals Dag T. Wisland Spring 2014 Outline Impulse - - PowerPoint PPT Presentation
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
Spring 2014 Discrete time signals 2
Outline
- Impulse sampling
- z‐Transform
- Frequency response
- Stability
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
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
References
Gregorian and Temes, Analog MOS Integrated Circuits for Signal Processing, Wiley, 1986
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