what you're discussing here appears to me to be about perfect reconstruction in 
the context of Wavelets and Filter Banks.



there is a theorem that's pretty easy to prove that if you have complementary 
high and low filterbanks with a common cutoff at 1/2 Nyquist, you can 
downsample both high and low-pass filterbank outputs by a factor of 1/2 and 
later combine the two down-sampled streams of samples to get perfect
reconstruction of the original.� this result is not guaranteed if you **do** 
anything to either filter output in the filterbank.


---------------------------- Original Message ----------------------------

Subject: Re: [music-dsp] 2-point DFT Matrix for subbands Re: FFT for realtime 
synthesis?

From: "gm" <g...@voxangelica.net>

Date: Fri, November 9, 2018 4:19 pm

To: music-dsp@music.columbia.edu

--------------------------------------------------------------------------

>

> hm, my application has also WOLA ...

>

> All I find is about up- and downsampling of time sequences and spectra

> of the same length.

>
...

>

> If anyone knows of an easy explanation of down- and up sampling spectra

> it would be much appreciated.

>

> Am 09.11.2018 um 19:16 schrieb Ethan Duni:

> ..

>> The only applications I know of that tolerate time-domain aliasing in

>> transforms are WOLA filter banks - which are explicitly designed to

>> cancel these (severe!) artifacts in the surrounding time-domain

>> processing.
--



r b-j� � � � � � � � � � � � �r...@audioimagination.com



"Imagination is more important than knowledge."

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