Howtosignalprocessing
- How to do downsampling in Matlab?
- How is downsampling done?
- Why do we downsample data?
- What is downsample factor?
How to do downsampling in Matlab?
y = downsample( x , n ) decreases the sample rate of x by keeping the first sample and then every n th sample after the first. If x is a matrix, the function treats each column as a separate sequence. y = downsample( x , n , phase ) specifies the number of samples by which to offset the downsampled sequence.
How is downsampling done?
Downsampling by an integer factor. Rate reduction by an integer factor M can be explained as a two-step process, with an equivalent implementation that is more efficient: Reduce high-frequency signal components with a digital lowpass filter. Decimate the filtered signal by M; that is, keep only every Mth sample.
Why do we downsample data?
Downsampling enables you to create even smaller models since the machine learning algorithm doesn't require as many training data points. For embedded AI, memory usage is vital; creating a smaller but still highly accurate model allows you to save space for other application code and processes on the device.
What is downsample factor?
Downsampling is the process of reducing the sampling rate of a signal. Downsample reduces the sampling rate of the input AOs by an integer factor by picking up one out of N samples. Note that no anti-aliasing filter is applied to the original data.
