IEEE

An amplitude-modulated pseudo-random binary sequence approach to broadband impedance spectroscopy for photovoltaic module system identification

Abstract: Pseudo-random binary sequence (PRBS) has been used for internal impedance identification and shown to be faster and easier to implement than analogue multiple frequency signals. To implement ...
GitHub

bilkosem/random_neural_network

It has been proposed by E. Gelenbe in 1989. A Random Neural Network is a compose of Random Neurons and Spikes that circulates through the network. According to this model, each neuron has a positive ...
GitHub

A REDCap External Module that puts fields into a random order

Install this module from the REDCap External Module Repository and enable it. A debug mode can be enable in the module's project settings. When enabled, some information about the module's actions ...
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

An Adaptive Amplitude-Modulated Pseudo-Random Binary Sequence Excitation for Converter-Based Impedance Spectroscopy Characterization of Photovoltaic Modules

Abstract: Pseudo-random binary sequence (PRBS) has been implemented through DC-DC converters for internal impedance identification and shown to be faster and easier to implement than analogue multiple ...