multigarch

Zadoff chu PN sequence generation and testing its properties

说明：  hand-written RBF neural network code

指纹读取 识别 滤波,关于3个指纹的读，改，和另外一个指纹进行匹配(Fingerprint reader identify the filter, on the three fingerprint read, change, and another to match a fingerprint)

Source for distance transform (manhattan)

Reactor Calculator Assume: Batched, 100 conversion

matlab模型与仿真教程，适合初学者和科研工作者学习(Matlab model and simulation tutorials, is suitable for beginners and research workers learning)

IEEE PAPER FOR ME MTECH STUDENTS COMPUTER SCIENNCE

离散的kalman滤波，计算信号的滤波值、预测值，估计误差及预测误差(kalman filter)

In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.

基于插值的超分辨率NEDI算法,用matlab实现(The super-resolution interpolation algorithm based NEDI)