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说明：  遗传算法解决背包问题，其中包括算法编码初始化，交叉，变异和惩罚策略，很好的解决了背包问题(Genetic algorithm to solve knapsack problem, including the coding algorithm initialization, crossover, mutation and punishment strategy, a good solution to the knapsack problem)

cosine transform and wavelet transform

能量谱分析计算,可以得到很精确的幅值、频率、相位估计，双向PCS控制仿真。( Energy spectrum analysis and calculation, You can get a very accurate amplitude, frequency, phase estimation, Two-way PCS control simulation.)

用matlab 生成随机数 内含详细代码 已经经过调试(Generating random Numbers with detailed code)

各种功率谱估计的源程序,有经典法中的间接法,welch法,现代谱估计中的levinson法,burg法,以及特征分解music法,可以得到仿真结果,自己为论文准备的希望对大家有所帮助(The source of a variety of power spectrum estimation, the indirect method in the classical method, Welch method spectrum estimation in the levinson France, burg France, and feature decomposition music France, you can get the simulation results, the paper ready we hope to help)

阵列信号对波达方向估计（DOA）的经典算法——MUSIC算法(Array signal to the wave of direction estimation (DOA) algorithm, the classical MUSIC algorithm)

一个MATLAB/Simulink模型，关于电动汽车动力电池荷电状态（State of Charge，SOC）估计； 包括参数文件、模型文件两种，模型文件分别仿真了110A恒流、110A脉冲和ECE15工况； 建模采用基于PEGV的电池等效模型对SOC进行估计，并且加入了温度修正等。 模型比较简单，原理清楚，适合对电动汽车动力电池SOC的估计有兴趣的初学者参考学习，学习前请阅读2到3篇基于电池PNGV等效电池模型的动力电池SOC估计方面论文，这样对理解模型更有帮助。(A MATLAB/Simulink model, on the electric vehicle power battery State of Charge, SOC estimates Including the parameter file and the model file, the model file simulates 110A constant current, 110A pulse and ECE15 working condition respectively. The SOC model was used to estimate the SOC and the temperature correction was added. The model is relatively simple, the principle is clear, suitable for beginners interested in electric vehicle power battery SOC estimation, it will be better to read 2 to 3 SOC estimation papers about battery PNGV equivalent battery.)

ofdm 调制解调算法的matlab源代码(OFDM modulation and demodulation)

基于MATLAB的小程序设计FIR用于GPR探测应用 FFT,IFFT，去噪，滤波(MATLAB programme for FIR filter application in GPR)

这是一个免疫克隆算法程序，求解了一个非线性的函数问题的最优值。(This is an immune clone algorithm procedure for solving a nonlinear problem of the optimal value function.)