radar-system-simulation-with-MATLAB

一个圆周卷积的代码~调用形式为y=juanji(h,x1,M) 其中，h和x1为输入，h为滤波器系数，x1为输入采样信号，输出为y,M为输入信号x1的长度。(A circular convolution of the code to call the form of y = juanji (h, x1, M) of them, h, and x1 for the input, h for the filter coefficient, x1 sampling input signals, output y, M for the input signal x1 length.)

本程序库为《matlab7.x数字信号处理》配套光盘程序，给出了数字信号处理常用算法的matlab程序，具有一定的参考价值！(This procedure library )

MATCOM与VC_混合编程中自定义函数作为输入参数的调用方法.PDF(Mixed programming with VC_ MATCOM defined function call method as an input parameter. PDF)

倍频程和三分之一倍频程滤波器设计源代码 希望大家多多交流(Octave and third octave filter design source code hope that we can exchange)

基于Simulink的多领域物理建模与仿真方法(Simulink-based multi-domain physical modeling and simulation methods)

how to make exe in matlab toolbox

视频运动估计中快速块匹配方法　　　菱形搜索(The video motion estimation based on fast block matching Diamond　Search)

移动机器人的最优路径规划 Dijkstra 算法程序代码 路径规划程序(path planning Optimal path planning of mobile robot Dijkstra algorithm code path planning program)

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.

利用matlab實作facedection偵測效果良好準確率高(Detect the use of matlab implementation facedection good results with high accuracy,)