precession_theory

在MATLAB环境下实现了CDMA通信系统仿真，程序流程为：随机序列产生--WALSH码扩频--BPSK调制--加入（和不加入）高斯白噪声--BPSK解调--WALSH码解扩，对过程波形进行了存储，对加噪与不加噪情况下的解码结果进行了对比，并绘制出信噪比与误码率关系图。(In the MATLAB environment to achieve a CDMA communication system simulation, the program flow as follows: random sequence generated- WALSH yards Spread Spectrum- BPSK modulation- to join (and not to join) Gaussian white noise- BPSK demodulator- WALSH yards Solution expansion of the process of waveform storage, to add noise and without noise cases, the decoding results were compared, and draw out the signal to noise ratio and bit error rate diagram.)

ica的算法，独立成分分析，剔除噪声，数据处理(ica algorithm, independent component analysis, eliminate noise, data processing)

matlab 卡尔曼滤波实际例子，附带详细注释(Kalman filter matlab practical examples, with detailed notes)

求K熵(Kolmogorov Entropy) GP算法 - KolmogorovEntropy_GPMain_KolmogorovEntropy_GP.m STB算法 - KolmogorovEntropy_STBMain_KolmogorovEntropy_STB.m(For K-entropy (Kolmogorov Entropy) GP algorithm- KolmogorovEntropy_GP Main_KolmogorovEntropy_GP.m STB algorithm- KolmogorovEntropy_STB Main_KolmogorovEntropy_STB.m)

matlab中GUI关于信号与系统的设计(matlab in the GUI design of signals and systems)

带有gui(图形界面）的钢筋混凝土柱截面配筋及绘图程序。(With a gui (graphical interface) of the reinforcement and reinforced concrete column cross-section drawing program.)

matlab函数实现任意位置平行线圈的互感值计算(matlab function anywhere in parallel to achieve the mutual inductance value of the coil)

说明：  生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。(Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.)

Matlab源码 计算矩阵各列与其他各列的互相关系数，并按照概率分布利用直方图的形式展示出来。 该互相关系数的定义参考Michael Elad的《Sparse and Redundant Representations》p25 Definition2.3(Matlab code for mutual-coherence of a given matrix)

将蚁群优化算法与粒子群优化算法进行组合，并利用遗传算法的交叉操作与变异操作对粒子多样性进行改进，提高全局优化效率，并配有实例演示。(The ant colony optimization algorithm and the particle swarm optimization algorithm are combined, and the genetic algorithm is used to improve the diversity of the particles. )