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This repository provides programs for the generation of training data for arithmetic and analysis processing of delta-sigma streams based on the KANN neural network library. The project was funded by the City of Vienna Science Grants programme.

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results
results
 
 
tests
tests
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
adder_bi.c
adder_bi.c
 
 
adder_plot.py
adder_plot.py
 
 
adder_uni.c
adder_uni.c
 
 
amp_est_bi.c
amp_est_bi.c
 
 
amp_est_plot.py
amp_est_plot.py
 
 
amp_est_uni.c
amp_est_uni.c
 
 
bitmath.c
bitmath.c
 
 
bitmath.h
bitmath.h
 
 
data.c
data.c
 
 
data.h
data.h
 
 
dsm.c
dsm.c
 
 
dsm.h
dsm.h
 
 
freq_est_bi.c
freq_est_bi.c
 
 
freq_est_plot.py
freq_est_plot.py
 
 
freq_est_uni.c
freq_est_uni.c
 
 
kann.c
kann.c
 
 
kann.h
kann.h
 
 
kautodiff.c
kautodiff.c
 
 
kautodiff.h
kautodiff.h
 
 
multiplier_bi.c
multiplier_bi.c
 
 
multiplier_plot.py
multiplier_plot.py
 
 
multiplier_uni.c
multiplier_uni.c
 
 
osc.c
osc.c
 
 
osc.h
osc.h
 
 
random.c
random.c
 
 
random.h
random.h
 
 
signals.c
signals.c
 
 
signals.h
signals.h
 
 

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Delta-sigma DSP with artificial neural networks based on the KANN library

https://github.com/attractivechaos/kann

This repository provides programs for the generation of training data for arithmetic and analysis processing of delta-sigma streams based on the KANN neural network library. The project was funded by the City of Vienna Science Grants programme.

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This repository provides programs for the generation of training data for arithmetic and analysis processing of delta-sigma streams based on the KANN neural network library. The project was funded by the City of Vienna Science Grants programme.

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