triangleMatlab

用Matlab语言实现的三维散列数据拟合(Using Matlab language realize three-dimensional hash data fitting)

计算在N维空间中，两条线之间的最短距离，N可以是3或者3以上的任何数值(Calculated in N-dimensional space, the shortest distance between two lines, N could be any of 3 or more values 3)

是有关ieee.802.16m里PFBCH的有关代码(Is the relevant code ieee.802.16m in PFBCH)

APPLICATION SMART ANTENNA3

MATLAB程序设计m文件讲解教程MATLAB m file programming tutorial explaining(MATLAB m file programming tutorial explaining MATLAB m file programming tutorial explaining)

莫比乌斯函数的Matlab源代码，可绘制响应图形(Mö bius function of Matlab source code, graphics can be drawn to respond to)

该代码是粒子滤波实现弱小目标的检测前跟踪。(The code is particle filter to implementation the weak target track before detection.)

由信道信号的复数值解调对应的二进制序列由信道信号的复数值找出对应的二进制序列。方法如下：由信道值， ％％求出该值与星座图中所有点的距离，找出距离最小的点，该点对应的 ％％二进制序列及为该信道对应的解调结果。 (Channel signal by the complex demodulation value corresponding to the binary sequence by the complex channel signals to identify the corresponding binary numerical sequence. As follows: by the channel value, the value obtained with the constellation diagram of all points of distance, find the smallest distance between points, the points of the corresponding binary sequence and the corresponding channel demodulation results.)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

该压缩包里有基于压缩感知理论的stomp、omp、和bp算法，在处理二维图像上比较有优势，可直接在matlab上运行(The bag is compressed based on compressed sensing theory stomp, omp, and bp algorithm, in dealing with a comparative advantage on the two-dimensional image can be directly run in matlab)