high-frequency-switching-noise

说明：  适应度计算中要修改惩罚函数的形式。0 3.为提高难度，把适应度改写为自适应的形式。 (Fitness calculation is necessary to modify the penalty function form. 03. To enhance the degree of difficulty, the adaptive fitness rewritten form.)

LDA MATLAB的算法，可以加入iris数据，并且直接可以使用的(LDA MATLAB algorithm, can join the iris data, and can be used directly)

试说明卷积编解码的工作原理。 请用Simulink仿真卷积编码，并用Viterbi译码的方法进行解码，其中的编解码全部自己编写代码(S-Function方式)，在加性白高斯噪声信道中，画出比特信噪比与误码率的关系曲线。 (Description Convolutional codec test works. Please use Simulink simulation of convolutional coding and Viterbi decoding method used to decode, which codec to prepare all their own code (S-Function mode), in the AWGN channel, drawn-noise ratio and bit error rate curve.)

包含所有数值算法的基本源代码，带有注释。(Contains all the basic numerical algorithm source code with comments.)

planet rendering program implementation

This is a matlab clas file for non-holonomic ground robot. Inputs are: 1. Set of way-points [x y] 2. Controller gain 3. Linear velocity Out put 1. control commands [linear and angular velocities]

DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask: clasification image mask

EEMD算法，集合经验模态分解，时域分解程序。按频率进行信号分解，精度高，(EEMD algorithms, time domain decomposition process. According to the frequency signal decomposition, high precision)

将模糊自适应控制与PID控制算法结合起来，建立模型并利用simulink进行仿真。(Combining fuzzy adaptive control with PID control algorithm, the model is built and simulated in simulink.)

在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时，文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析，由此得出的收敛条件比较粗糙。本程序指出：不相关高斯输入情况下，无需如上简化，可依据高斯阶矩因式分解定理得到确切的MSE收敛条件，相应的失调表式能更准确地预报失调(In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commonly used statistical correlation matrix instead of the instantaneous correlation matrix to simplify the analysis, it follows that the convergence conditions are relatively rough. This procedure pointed out: not related to the Gaussian input case, no simplification above may be based on the Gaussian moment factoring theorem to the exact order of MSE convergence conditions, the corresponding offset table style to a more accurate prediction of disorder)