From: (Anonymous)
I was wondering myself, if you use a typical FFT\bark.scale Algorhythm on the A.I Enhanced granular wavetable frequency bands, as virtual Bin (size?) calculated predominantly by of course the FFT\barki.scale relying for its final or real.time results, which are limited by or from mainly the CPU/RAM/MEMORY Capacity.
Do you have a Unique (Transform Algorhythm) that uses the "keras" or "theano" CNTK Binary libraries? say something that could be like a hybrid of the FFT & GFT, DTMF? I understand that using a GFT\bark.scale Transfrom Algorhythm alone, could be a massive difference in data\frequency band to using a FFT, as they can potentially use unlimited/Infinite Granular Wavetable band Resolution Virtual Bin data-size/processing power per noise scale or frequency bands!
Understanding there is not large amounts of people, that acknowledge/understand the difference of those two Transform Algorhythms as to begin with.
From:
Anonymous
OpenID
Identity URL: 
User
Account name:
Password:
If you don't have an account you can create one now.
Subject:
HTML doesn't work in the subject.

Message:

If you are unable to use this captcha for any reason, please contact us by email at support@dreamwidth.org


 
Notice: This account is set to log the IP addresses of everyone who comments.
Links will be displayed as unclickable URLs to help prevent spam.

Profile

jmvalin: (Default)
jmvalin

November 2018

S M T W T F S
    123
45678910
11121314151617
1819 2021222324
252627282930 

Most Popular Tags

Style Credit

Expand Cut Tags

No cut tags
Page generated Feb. 15th, 2019 07:56 pm
Powered by Dreamwidth Studios