Uniform Quantization It was discussed in the previous lecture that the disadvantage of using uniform quantization is that low amplitude signals are drastically. - ppt download
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![PDF] AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/33cfb4e2e1d6b1449744471c5f1566221ec35ed7/3-Figure1-1.png "PDF] AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks | Semantic Scholar")
PDF] AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks | Semantic Scholar
Uniform Quantization It was discussed in the previous lecture that the disadvantage of using uniform quantization is that low amplitude signals are drastically. - ppt download
/Year_4/ECE%20421_Comm_Systems_II/Signal_Digitization/Quantization/Images/Types%20of%20Uniform%20Quantizers.PNG "Quantization and SQR")
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![Uniform and non-uniform quantization [23] | Download Scientific Diagram](https://www.researchgate.net/publication/272377848/figure/fig1/AS:294742626717702@1447283526768/Uniform-and-non-uniform-quantization-23.png "Uniform and non-uniform quantization [23] | Download Scientific Diagram")
Uniform and non-uniform quantization [23] | Download Scientific Diagram
