CUDA Implementation of Haar Training 1.0 Description
Description: This project aims at providing multifold acceleration to the excruciatingly slow and computationally intensive process of Haar Training (used for machine learning) using NVIDIA CUDA technology.
Derives the transfer function for digital implementation of a first order RC low pass filter and plots the step and frequency response. For details, refer to the post: http://www.dsplog.com/2007/12/02/digital-i...ow-pass-filter/
The matrix implementation of the two-layer Multilayer Perceptron (MLP) neural networks. The matrix implementation of the MLP and Backpropagation algorithm for two-layer Multilayer Perceptron (MLP) neural networks.
Simple Linux implementation of Borland's conio (conio.h) library. It uses Ncurses. It includes most functions required to write a basic application using conioh (i.e. getch(), cprintf(), puts() and more).