histogram

introdution of matlab part 2 and examples

通过简单的MATLAB程序实现对少量的语音信号的是识别( Simple MATLAB program to achieve a small amount of the speech signal is to identify)

基于ULA(均匀圆形阵列)的DOA估计算法代码，可参考(ULA (uniform circular array)-based DOA estimation algorithm code)

this is for mini project

说明：  使用ant_colony_system蚂蚁系统解决TSP问题 (Using the ant system to solve TSP problems ant_colony_system)

频率采样法：使所设计的FIR数字滤波器的频率特性在某些离散频率点上的值准确地等于所需滤波器在这些频率点处的值，在其他频率处的特性则有较好的逼近。 (Frequency sampling method：Make the FIR digital filters designed by the frequency characteristic in some discrete frequency is equal to the value accurately in these frequency required filter in value, the characteristics of the other frequency place there is a better approximation. )

this program simulate the motion of harmonic oscillator

MVDR是一种基于最大信干噪比（SINR）准则的自适应波束形成算法。MVDR 算法可以自适应的使阵列输出在期望方向上功率最小同时信干噪比最大。(MVDR is an adaptive beamforming algorithm based on maximum signal-to-noise ratio (SINR) criterion. The MVDR algorithm adaptively minimizes the power of array output in the desired direction and the maximum signal to dry noise ratio.)

一个新设计的OTSU算法，使用方法如下：％ load clown ％ subplot(221) ％ imshow(X/max(X(:))) ％ title( Original , FontWeight , bold ) ％ for n = 2:4 ％ Iseg = otsu(X,n) ％ subplot(2,2,n), colormap(gray) ％ imshow(Iseg) ％ title([ n = int2str(n)], FontWeight , bold ) ％ end(OTSU design a new algorithm, using the method as follows: load clown subplot (221) imshow (X/max (X (:))) title (Original, FontWeight, bold) for n = 2:4 Iseg = otsu (X, n) subplot (2,2, n), colormap (gray) imshow (Iseg) title ([n = int2str (n)], FontWeight, bold) end)

利用VC 调用matlab数学库和图形库的方法，实现vc和matlab的混合编程(VC call to use matlab math library and graphics library approach, the realization of a mixture of vc and matlab programming)