Neyman-Pearson-detection

说明：  forward处理程序,使用于煤炭、油气工业(forward processing procedures used in coal, oil and gas industry)

函数用于图象质量评价， 计算梯度均值，标准差，峰值(Function for image quality evaluation, and to calculate the gradient of the mean, standard deviation, peak)

时域lms算法的MATLAB源代码，对输入信号加入高斯白噪声后进行消噪处理。(Time domain LMS algorithm MATLAB source code, the input signal to join the Gauss white noise.)

展示了HSPA系统中PDSCH信道的基本测试以及CQI测试的基本参数和过程(HSPA system shows the basic test PDSCH channel and the CQI process of testing the basic parameters and)

an ACO-OFDM code with optimal receive algorithm

MATLAB,2DPSK,通信系统仿真，调制解调，时域波形，频谱(The MATLAB, 2DPSK, communication system simulation, modulation and demodulation, time-domain waveform, spectrum)

时域仿真sssc抑制次同步谐振，基于pscad(Time domain simulation SSSC suppresses subsynchronous resonance, based on PSCAD.)

遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

Mann-Kendall突变检验的matlab程序，设置的置信度95 ，当然这个很容易自己调整(Mann-Kendall mutation test matlab program, set 95 confidence level, of course, this is very easy to make their own adjustments)

Adaptive Composite Differential Evolution Algorithm 自适应复合差分进化算法(Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters)