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A subject-oriented, integrated, time-variant, non-updatable collection of data used in support of management decision-making processes

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说明：  这是对于矩阵分解里面，最新出现的一种新的算法：非负矩阵分解的程序(This is the decomposition of the matrix inside, emerging a new algorithm: the procedure of non-negative matrix factorization)

包含了多个信号处理的算法，多通道滤波器，小波变换等信号处理的算法(filters, wavelets)

Matlab source for conventional, SINR, Null-steering and minimum variance bemforming in 8 sensors

用于混沌多项式扩展的代码，例子较多，有些比较复杂，深入浅出(Code for the extension of chaotic polynomials)

A星算法，应用于路径规划，可以实现可视化(A star algorithm applied to path planning)

用matlab实现了五类灰色关联度模型的计算，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度、T关联度。附带两个测试用数据列的生成函数。(Matlab achieved with five gray correlation model calculation, including the Tang correlation degree, the absolute correlation, the slope of correlation to improve the absolute correlation, T correlation. Attached to the two test data out of the generating function.)

1、分别生成两种信号（正弦波、方波、三角波、锯齿波、Sinc波形等）+噪声（高斯随机噪声、均匀噪声） 要求：频率：学号*100； 幅度：学号/10 相位：学号*pi/180 点数：学号*64 2、同时在一个图形中进行显示： 要求：标注X轴、Y轴、题目、颜色、样式、线型标注等。 3、进行信号分析及结果显示（对结果也要图形标注，同2） 要求：相关分析 卷积运算 求和运算 频谱分析（最大值、测频） 4、对上述原信号及信号分析结果分别存成EXCEL文件、文本文件和二进制文件，命名为名字+班级+学号+后缀(1, respectively, to generate two signals (sine wave, square wave, triangle wave, sawtooth wave, Sinc waveform, etc.)+ noise (Gaussian random noise, uniform noise) requirements: Frequency: No.* 100 margin: Student ID/10 phase: learning* pi/180 Points: No.* 642, in a graphical display: Requirements: X-axis label, Y axis, the title, color, style, linear marked. 3, signal analysis and results display (graphical results also marked with 2) requirements: analysis convolution summation spectrum analysis (maximum frequency measurement) 4, the original signal and the signal analysis results were kept into EXCEL files, text files and binary files, named for Name the+ class++ suffix number)

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)