matlab_60_programs

通信原理实验 包括AM SSB DSB的仿真等(am ssb dsb)

本工程实现了将三路合成的DSB信号用椭圆滤波器（低通，带通，高通）滤出； 其中的freqz函数，filter函数，fft函数都自己实现。 每种滤波器都分别用专门的函数分别写出，可以模块化。( This project will be three-way synthetic a DSB signal elliptic filter (low pass, band-pass, high pass) filter out Freqz function of which, the filter function, fft function. Each filter are, respectively, with a special function, respectively, to write, can be modular.)

解决最小费用最大流问题，一般有两条途径。一条途径是先用最大流算法算出最大流，然后根据边费用，检查是否有可能在流量平衡的前提下通过调整边流量，使总费用得以减少？只要有这个可能，就进行这样的调整。调整后，得到一个新的最大流。(Minimum cost maximum flow problem to solve, there are generally two ways. One way is to use a maximum flow algorithm to calculate the maximum flow, then the cost side, check whether it is possible under the premise of the flow balance by adjusting the edge flow, so that the total cost can be reduced? As long as this possible, for such adjustments. Adjusted to obtain a new maximum flow.)

定位算法中泰勒级数迭代，其是以最小二乘法为初值的算法(Taylor series iterative positioning algorithm, which is based on least squares algorithm for the initial value)

These source codes performs matlab codes for Continues Time Fourier Transform (CTFT), Continues Time Fourier Series (CTFS).

极限学习机极速学习机\ELM 稀疏表示人脸识别稀疏表示\L0范数求解L1范数ELM神经网络AR人脸数据库基于ELM的图像分类与稳健回归算法研究基于ELM与稀疏表示的混合人脸识别算法 AR人脸识别准确率0.95. 文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Matlab codes of the following paper: Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)

与阵列信号处理理论和应用相对应的MATLAB编程，涵盖了阵列信号处理的一些采用的方法，对初学者的学习有很大的帮助。(Array signal theory and the application of the corresponding MATLAB algorithm, describes the array signal processing used in method. For beginners have a good reference value.)

此程序是运用强跟踪UKF滤波实现捷联惯导实现初始对准，可以仿真数据，如果有实验数据也可以用！效果还可以。(This procedure is the use of strong tracking UKF SINS to achieve the initial alignment, simulation data, if the experimental data can be used! Effect can also be.)

关于用MATLAB6.5进行图像处理的书籍，适合初学者，内有代码(Image processing with MATLAB6.5 on the books, for beginners, there are code)

Descriptor for simple shapes (e.g letters). Computes the descriptor twice in order to describe horizontally and vertically with the same accuracy. Input: image (2-D, binary or gray) depth of recursion (default 7), plotFlag(if on - plot Illustration) Output: vec - descriptor: Division locations, values around zero. Of length 2*(2^depth - 2) (levels: the depth of the division locations.)