knn

百例MATLAB程序，很实用，适合初学者(100 cases of MATLAB program, very practical, suitable for beginners)

【谷速软件】基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码 可以作为参考使用学习([Valley] speed software based on wavelet Bayes (BAYES) threshold (WAVELET) image denoising algorithm source code can be used as a reference study)

to calculate satellite position

免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。(Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of information processing algorithm, and the simple, to improve the PSO' s ability to get rid of the local extreme points .)

dc-dc buck电路，仿真效果较好，偏差控制的很小，pi效果不错(DC-DC buck circuit, simulation effect is good, deviation control is very small, PI effect is good.)

说明：  话到变送器和其计算复杂度 类似于MRRC。比起MRRC,如果总数 辐射功率是保持不变的,发送的多样性 方案具有3-dB不利(less system, using two transmit antennas at the base stations instead of two receive antennas at all the remote terminals. The scheme does not require any feedback from the receiver to the transmitter and its computation complexity is similar to MRR)

一二次雷达资料相关整理 一二次雷达资料相关整理 (A secondaryradar data related to sorting )

科学计算引论 即 matlab数值分析 （第二版）(numerical value analysis based on matlab)

说明：  图论算法 求SAP矩阵的基本思想是图的最短路的问题。 由于铁路的运输费用与线路的长度不是线性关系，必须对铁路网做一些预处理才能套用图的标准最短算法。 (SAP matrix graph theory algorithm for getting the basic idea is to map the shortest path problem. Since the railway transport costs and the length of line is not a linear relationship, we must do some preprocessing on the rail network to apply a standard graph algorithm shortest.)

进行逐步线性回归，采用的是脉冲对消法，使用起来非常方便，分析了该信号的时域、频域、倒谱，循环谱等,正确率可以达到98％，有小波分析的盲信号处理，包含特征值与特征向量的提取、训练样本以及最后的识别。( Stepwise linear regression, It uses a pulse of consumer law, Very convenient to use, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Accuracy can reach 98 , There Wavelet Analysis Blind Signal Processing, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.)