A perfect denoising for measurement shall remove noise, while keeping signal truth, so it is a dual-objective optimization of the signal yield and the noise residue. The frequency difference between ...

We present a procedure for computing the convolution of (analog-time) exponential signals without the need of solving integrals. The procedure is algebraic and requires the resolution of a system of ...

This script contains my origianl filter function which was retired on 23/09/2016 as it uses convolution in the time domain to apply the filter which makes it slow and particularly inefficient with ...

Sparse convolution in python. Uses Toeplitz convolutional matrix multiplication to perform sparse convolution. This allows for extremely fast convolution when: The kernel is small (<= 100x100) The ...

However, due to the low signal-to-noise ratio and large individual differences, EEG feature extraction and classification have the problems of low accuracy and efficiency. To solve this problem, this ...