Convolution is sufficiently important to DSP that it is worth developing the subject in detail. In the following examples, the notation will be somewhat simplified. Instead of using f [n ], we will ...

Learning Digital Signal Processing (DSP) techniques traditionally involves working through a good bit of mathematics and signal theory. To promote a hands-on approach, [Clyne] developed the DSP PAW… ...

This combination is inefficient and consumes unnecessary power. Architected as a dedicated neural-network-optimized DSP, the Vision C5 DSP accelerates all neural network computational layers ...

Existing NPUs Cannot Support Transformers Most edge silicon solutions in the market today employ heterogeneous architectures that pair convolution NPU accelerators with traditional CPU and DSP cores.