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Sampling in Matlab and downsampling an audio file ...

    https://www.gaussianwaves.com/2014/07/sampling-a-signal-in-matlab/
    In signal processing, downsampling is the process of throwing away samples without applying any low-pass filtering. Mathematically, downsampling by a factor of implies, starting from the very first sample we throw away every $M-1$ samples (i.e, keep every -th sample. For example, if is a vector of input samples, downsampling by implies

Signal audio - effect downsampling - MATLAB & Simulink

    https://www.mathworks.com/matlabcentral/answers/538719-signal-audio-effect-downsampling
    You see, downsampling the signal alone doesn't increases the frequency of it. This effects of high pitch happens because you play the new sound with the older sampling rate. This makes the frequency of the sound increase M times, since it is like you're reading the "same" data but M times faster.

Decrease sample rate by integer factor - MATLAB …

    https://www.mathworks.com/help/signal/ref/downsample.html
    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. Examples collapse all Decrease Sample Rates

How to downsample a signal in Matlab - Stack Overflow

    https://stackoverflow.com/questions/58719705/how-to-downsample-a-signal-in-matlab
    I want to downsample the signal ensuring that with the new sampling rate we can safely distinguish frequencies 0 till 100 Hz. I have tried to use the downsample() matlab function but I am unsure if this is correct.

Downsampling - Aliasing - MATLAB & Simulink

    https://www.mathworks.com/help/signal/ug/downsampling-aliasing.html
    Downsample the signal by a factor of 2 and plot the spectrum of the original and downsampled signals. The downsampled signal is full band. The spectrum of the downsampled signal is a stretched and scaled version of the original spectrum, but the shape is preserved because the spectral copies do not overlap. There is no aliasing.

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