- What is upsampling and downsampling?
- What is the effect of upsampling and downsampling?
- What is upsampling and downsampling in signal processing?
- What are the advantages of upsampling?
What is upsampling and downsampling?
Downsampling, which is also sometimes called decimation, reduces the sampling rate. Upsampling, or interpolation, increases the sampling rate. Before using these techniques you will need to be aware of the following.
What is the effect of upsampling and downsampling?
Downsampling is the reduction in spatial resolution while keeping the same two-dimensional (2D) representa- tion. It is typically used to reduce the storage and/or transmission requirements of images. Upsampling is the increasing of the spatial resolution while keeping the 2D representation of an image.
What is upsampling and downsampling in signal processing?
¯ downsampling (decimation) – subsampling a discrete signal. ¯ upsampling – introducing zeros between samples to create a longer. signal. ¯ aliasing – when sampling or downsampling, two signals have same. sampled representation but differ between sample locations.
What are the advantages of upsampling?
Converting a digital (sampled) signal to a continuous analogue waveform requires interpolation to produce the values between sample points. Doing part of this interpolation digitally (upsampling) simplifies the analogue circuitry and gives better results. That's all there is to it.