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Filtering and Downsampling | Spectral Audio Signal Processing
https://www.dsprelated.com/freebooks/sasp/Filtering_Downsampling.html
Filtering and Downsampling. Because downsampling by causes aliasing of any frequencies in the original signal above , the input signal may need to be first lowpass-filtered to prevent this aliasing, as shown in Fig. 11.5 . Figure 11.5: Lowpass filtering followed by downsampling.
Filtering and Downsampling - Stanford University
https://ccrma.stanford.edu/~jos/sasp/Filtering_Downsampling.html
Filtering and Downsampling. Because downsampling by causes aliasing of any frequencies in the original signal above , the input signal may need to be first lowpass-filtered to prevent this aliasing, as shown in Fig. 11.5. Figure 11.5: Lowpass filtering followed by …
lowpass filter - Understanding audio downsampling code ...
https://dsp.stackexchange.com/questions/37450/understanding-audio-downsampling-code-javascript-and-adapting-to-a-different-r
It is a simple approach to downsampling by lowpass filtering (to prevent aliasing) and decimation. 2. The lowpass filter is represented by its impulse response (looks almost like a sinc, doesn't it?). You can see the frequency response here, which removes components below 8kHz . 3. Design the filter which removes frequencies below 48k/2*target_rate. 4.
Upsampling and Downsampling - Stanford University
https://ccrma.stanford.edu/~jos/JFB/JFB_2up.pdf
Filtering and Downsampling Because downsampling by Nwill cause aliasing for any frequencies in the original signal above |ω|>π/N, the input signal must first be lowpass filtered. H(z) N The lowpass filter h[n] is an FIR filter of length Mwith a cutoff frequency of π/N. Let’s draw the FIR filter hin direct form: h(0) y[n] z-1 h(1) h(2) h(M-1) z-1 z-1 x[n]
Downsampling and applying a lowpass filter to digital audio
https://stackoverflow.com/questions/238382/downsampling-and-applying-a-lowpass-filter-to-digital-audio
The "best" solution possible is indeed a DFT, discarding the top 3/4 of the frequencies, and performing an inverse DFT, with the domain restricted to the bottom 1/4th. Discarding the top 3/4ths is a low-pass filter in this case. Padding to a power of 2 number of samples will probably give you a speed benefit.
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