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深入浅出MATLAB 7.X溷合编程 董维国 编着.pdf和适合初学者(MATLAB 7.X blends as easily comprehensible programming Dong Weiguo ed. Pdf and suitable for beginners)

MYGUI3.2改造 - 完善文字的换行显示，并为中文支持自动换行(MYGUI 3.2 transformation- perfect wrap text display, and support for Chinese Wrap)

滤波求和方式实现宽带波束形成，基于分段非线性权重值的Pso算法，这个有中文注释，看得明白，通过matlab代码，非归零型差分相位调制信号建模与仿真分析 ，matlab程序运行时导入数据文件作为输入参数，使用拉亚普诺夫指数的公式，抑制载波型差分相位调制。( Filtering summation way broadband beamforming, Based on piecewise nonlinear weight value Pso algorithm, The Chinese have a comment, understand it, By matlab code, NRZ type differential phase modulation signal modeling and simulation analysis, Import data files as input parameters matlab program is running, Raya Punuo Fu index using the formula, Suppressed carrier type differential phase modulation.)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

Cameraman Denoising using matlab code

说明：  用牛顿迭代的方法，编写程序，是函数迭代的效率提高，比一般的迭代法要好很多(By Newton iteration method, the preparation procedure is to improve the efficiency function iteration, iterative method than the average much better)

MATLAB CODE FOR EDGE PRESERVING

定步长ODE4、ODE5算法，用法和ode45相似 唯一不同的就是ode45是[t,y]=ode45(), 这个是y=ode4()，因为是定步长的(Fixed-step ODE4, ODE5 algorithms, usage, and the only difference is similar to ode45 ode45 is [t, y] = ode45 (), this is y = ode4 (), because the step length is fixed)

aplication using c# code

近红外光谱平滑去噪算法，由于光谱仪得到的光谱信号中既有有用的信息，同时也叠加着随机误差，即噪声，而这种方法能取到很好的去噪作用。(Nir denoising smoothing algorithm, as a result of the spectrometer for spectrum signal in both the useful information, and superposition of the random error, the noise, and this method can get very good denoising effect. )