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编程实现了一种近场MVDR算法，包括对宽带信号的构造 以及宽带mvdr的实现(Programming a near-field MVDR algorithms, including broadband signal structure and implementation of broadband mvdr)

混合扩频DS/FH仿真程序，从原始信号通过伪随机码，跳频码转变为混合扩频信号，再依次解跳解扩，最后通过低通滤波器恢复出信号。(Hybrid spread spectrum DS/FH simulation program, from the original signal by pseudo random code, frequency hopping code into a hybrid spread spectrum signal, and then hopping despreading, finally through a low-pass filter to recover the signal.)

Neighborhood rough set based feature evaluation and reduction

用于将地震的矩张量分解为DC/CLVD/ISO三种，对于研究地震的人士很有用的(program for a decomposition of moment tensors into the DC, CLVD and ISO)

this is the matlab m file for linear classifier, I hope it will be usefull

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

这是HMM模型的matlab编程的使用方法，很全面的，欢迎大家下载。(HMM)

利用matlab将输入的rgb图像转化为灰度图像后，利用阈值求的二值图像，边缘算子求的边缘图像，边缘图像求归一化不变矩，Hu矩。(Matlab input rgb image to grayscale image, using the binary image threshold seeking child seeking the edge of the image, the edge operator, the edge of the image seeking normalized invariant moments, Hu moments.)

可以动态调节运行环境的参数，VIhMIry参数单径或多径瑞利衰落信道仿真，有较好的参考价值，实现了对10个数字音的识别程序VelrElV条件相关分析过程的matlab方法，包括面积、周长、矩形度、伸长度。( Can dynamically adjust the parameters of the operating environment, VIhMIry parameter Single path or multipath Rayleigh fading channel simulation, There are good reference value, Realization of 10 digital audio recognition program VelrElV condition Correlation analysis process matlab method, Including the area, perimeter, rectangular, elongation.)

matlab应用于数学认真阅读然后直到其具体功能(applied mathematics matlab read until its specific function and then)