Upsampling

Upsampling signal using convolution-based interpolation filters

Upsampling signal using convolution-based interpolation filters
  1. What is interpolation in upsampling?
  2. Which filter is used in interpolation?
  3. How does upsampling work?
  4. Why is upsampling used?

What is interpolation in upsampling?

Upsampling adds to the original signal undesired spectral images which are centered on multiples of the original sampling rate. “Interpolation”, in the DSP sense, is the process of upsampling followed by filtering. (The filtering removes the undesired spectral images.)

Which filter is used in interpolation?

The interpolation system uses the lowpass filter H(z) after the expander to attenuate the frequency components of the signal from fs/2 to Lfs/2. In the time domain, the effect of H(z) is to replace the inserted zero value samples that the expander introduces with the interpolated values.

How does upsampling work?

Upsampling is the process of inserting zero-valued samples between original samples to increase the sampling rate. (This is sometimes called “zero-stuffing”.) This kind of upsampling adds undesired spectral images to the original signal, which are centered on multiples of the original sampling rate.

Why is upsampling used?

The purpose of Upsampling is to manipulate a signal in order to artificially increase the sampling rate. This is done by... Upsampling is an effective way to reduce time between samples of a signal without resampling the original signal.

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