cppmath_ug2b

用maple和matlab解决科学计算问题，很好的教程(Solve scientific computing problems, good tutorial with maple and matlab)

正规化的逻辑回归，可实现图像的分类识别,如人脸识别，数字识别(Logistic Regression with regularisation, can be used for image classification)

计算激光高斯光束经过单个透镜变换后的光斑尺寸(After calculation of a single lens laser Gaussian beam spot size transformation)

classifier ID3 to classify data

信号处理中参数最大似然估计的仿真程序设计(Maximum likelihood parameter estimation simulation)

Estimated number of Pi ( Method 1) how do we estimate Pi by simulation? In the simulation, you keep throwing darts at random onto the dartboard. All of the darts fall within the square, but not all of them fall within the circle. Here s the key. If you throw darts completely at random, this experiment estimate the ratio of the area of the circle to the area of the square, by counting the number of darts in each. Our study of the geometry tells us this ratio is Pi/4. So, now we can estimate Pi as

denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned filters, it is become obvious clear that for the given noisy image the Min filter acted much better than the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third good result respectively. That is way can conclude that the existing noise in the given image was Salt noise.

MUSIC算法的方位角估计以及频率估计 精度可调(Azimuth Estimation and Frequency stimation of MUSICAlgorithm Accuracy adjustable)

蚁群算法在TSP上的应用 商旅问题的研究(Ant colony algorithm in the application of TSP on the issue of business travel)

matlab-fem-analysis-and-application tool box