Julius contains different Digital Signal Processing algorithms implemented with PyTorch, so that they are differentiable and available on CUDA. Note that all the modules implemented here can be used ...

Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...

AutoEq doesn't perform equalization on your device, only produces settings for different equalizers. A separate equalizer app is needed. AutoEq supports all of the three and additionally a couple of ...

Using one of the best reverb plugins is a great way to transform dull and lifeless tracks into more atmospheric and 'human' mixes. Reverbs recreate the sound of a room or space, emulating the ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...

Automated thyroid nodule classification in ultrasound images is an important way to detect thyroid nodules and to make a more accurate diagnosis. In this paper, we propose a novel deep convolutional ...

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Abstract: Field-programmable gate array (FPGA)-based accelerators for convolutional neural network (CNN) inference have received significant attention in recent years. The reported designs tend to ...