FastICA_Aapo_Hyvarinen

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.

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采用C语言编写的.c文件SVPWM算法仿真模块(SVPWM C)

Orthogonal Matching Pursuit algorithm

Image Denoising using Non-local Wavelet Basis

干涉图像光谱复原matlab仿真,主要通过设置虚拟光源光谱、对波真面分束空间干涉模型设定以及光谱复原等组成。(Resctruction the spectrum from the image of interference )

数值分析计算程序例子，三次样条插值法，边界条件：端点导数值已知。(Numerical the analysis calculation procedures example, cubic spline interpolation, boundary conditions: endpoint derivative)

极化码在高斯信道下CA——SCL译码算法(CA - SCL decoding algorithm for polarization code in Gauss channel)

利用负债比判定借款条件与还款期限并列出年附表(The use of debt ratio to determine the conditions and repayment period of loan and listed in Schedule-year)

matlab动量梯度下降算法 生成一个新的前向神经网络 对BP神经网络进行训练 对BP神经网络进行仿真(Momentum matlab gradient descent algorithm to generate a new feed-forward neural networks trained BP neural network on the BP neural network simulation)