SW Florida Conservancy's expert crew hauls in Burmese pythons by the ton

Scientist on Burmese pythons: 'removing over 24 tons of python locally feels like a dent to me, but I’m biased.' ...
IEEE

DOA Estimation of Coherent Signals Exploiting Forward/Backward Convolutional Kernels

Abstract: The traditional subspace-based algorithms in the process of coherent direction of arrival (DOA) estimation get in trouble because of the rank loss of the signal covariance matrix. To this ...
GoodNewsNetwork

First Time An Invasive Python is Killed by Florida Bobcat–A Sign of Nature ‘Fighting Back’ Against the Snakes

In the face of invasive Burmese pythons, even the American alligator of the Everglades is no match. But one native species isn’t willing to roll over and let the pythons take over the famous Florida ...
IEEE

MTSNet: Convolution-based Transformer Network with Multi-scale Temporal-Spectral Feature Fusion for SSVEP Signal Decoding

Abstract: Improving the decoding performance of steady-state visual evoked (SSVEP) signals is crucial for the practical application of SSVEP-based brain-computer interface (BCI) systems. Although ...
eeworldonline

How to use convolution to implement filters: part 4

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...
The New York Times

A Quick, Quiet Trip to Belarus Signals a Turn in U.S. Policy

After years of the U.S. trying to isolate Russia’s closest ally, a meeting with Belarus’s president points to better relations, raising hopes of loosening his repression and his embrace of Moscow. By ...
GitHub

Julius, fast PyTorch based DSP for audio and 1D signals

This is a fork of the original julius repo with a fix for an issue that occurs when running python with the -O (or -OO) option. Julius contains different Digital Signal Processing algorithms ...
GitHub

convolution_neural_network.py

self, conv1_get, size_p1, bp_num1, bp_num2, bp_num3, rate_w=0.2, rate_t=0.2 :param conv1_get: [a,c,d], size, number, step of convolution kernel :param size_p1 ...