matlab-programming

matlab经典算法可以实现一些功能,如插值和拟合,规划问题,绘图,接方程,数据分析等(matlab classical algorithm can realize some functions, such as interpolation and fitting, planning, mapping, and then equations, data analysis, etc.)

分别利用EMD和小波进行降噪，并进行对比分析，内附经典论文。(Were carried out using the EMD and wavelet noise reduction, and a comparative analysis, containing classic papers.)

利用matlab来实现多项式的运算，及其各种符号的使用。例如求极限，数值积分，函数的求导等(Using matlab to achieve polynomial operations, and its various symbols are used. Such as finding the limit, numerical integration, function derivation, etc.)

尝试利用优先顺序法解决机组组合问题。数据是1024节点的。(Try to take advantage of priority method to solve the problem of unit combination.The data is 1024 nodes. )

在MATLAB软件环境下运行 产生升余弦滚降函数波形及眼图图像(Run in the MATLAB software environment created Cosine function waveform and eye diagram image)

principal component analysis(PCA)主成分分析，Matlab实例代码(principal component analysis(PCA))

基于BP_Adaboost的强分类器设计——公司财务预警建模(Design of strong classifier based on BP_Adaboost: modeling of corporate financial early-warning)

该资料是汇总了大部分的MATLAB的命令语句，涵盖的面很广，包括常用命令，运算符和逻辑函数，语言结构和调试命令，矩阵和矩阵操作基础，数学函数与坐标变换，数据分析，多项式，双重函数，声音处理，字符串函数，低层文件输入输出函数，位操作结构和对象函数，数组函数，图像可视化函数这些模块。希望对大家学习MATLAB有所帮助。(This information is a summary of most of the MATLAB command statement, surface covers a wide range, including the commonly used commands, operators, and logical functions, language structure and debug commands, matrices and matrix operations based on a mathematical function and coordinate transformation, data analysis, polynomials, dual function, sound processing, string functions, low-level file input and output functions, function-bit operating structures and objects, arrays, functions, image visualization functions for these modules. We hope to learn MATLAB help.)

采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network so that it can fit a sine additional white noise sample data.)

Cooperative communication simulation model.