MatlabBuilderfor.NET

histogram equalization using MMBEBHE image processing

Implementation of Simple Exponential Smoothing of sample data.

维纳滤波器的MATLAB源程序，处理高斯白噪声，对一维数据进行滤波。(Wiener filter MATLAB source, dealing with gaussian white noise, the one dimensional data filtering. )

Introduction to Signal Processing 书的源代码，里面有非常多的数字信号处理算法，很多都是工程使用的，理论上也很有参考价值.是用matlab和C语言写的。(Book Introduction to Signal Processing of the source code, there are an awful lot of digital signal processing algorithms, many of which are used in the project, in theory, is also useful reference value.)

分析电力系统风电出力数据的状态转移概率。在得到两三年的风电场发电出力数据后，可用该程序分析风电出力的具体变化，以及风电出力在相邻时刻不同状态之间的转移概率。(Analysis of power system wind power output data state transition probabilities. In two or three years to get the wind farm power output data, the program can analyze specific changes in wind power output, as well as wind power output in the adjacent time transition probabilities between different states.)

对一个给定的状态转移矩阵求其联合分布矩阵，联合熵，平均互信息量以及共熵。可以画出平均互信息量的曲线(For a given state transition matrix of their joint distribution matrix, the joint entropy, mutual information and the average total entropy. Can draw the curve of the average mutual information)

matlab code for Canny edge detection in 2-D and 3-D

各种随机信号的自相关函数和功率谱密度函数、画图(Autocorrelation function and power spectral density function of a variety of random signals, drawing)

何凯明的《Single Image Haze Removal Using Dark Channel Prior》论文中的代码，基于暗原色先验的图像去雾算法，对户外图像去雾有很好的效果(this code is of the paper"Single Image Haze Removal Using Dark Channel Prior",the function is removing haze based on Dark Channel Prior algorithm , having a good effect on outdoor images.)

最小二乘窄带干扰消除。有用信号是一个点状目标，产生窄带干扰采样，产生高斯白噪声，设计一个M=100个系数的单步(D=1)线性预测器，再用得到的线性预测器来消除图中被干扰的信号x(n)中的噪声。(Least Squares narrowband interference cancellation. The useful signal is a target point, narrow-band interference is sampled Gaussian white noise, the design of a M = 100 coefficients in a single step (D = 1) linear predictor, then the obtained linear prediction filter to eliminate the interference graph the signal x (n) the noise.)