FM0

说明：  本程序用于实现求解并绘制正弦信号功率谱密度的功能(procedures used to achieve the solution and the mapping of sinusoidal signal power spectral density function)

利用神经网络解决人口模型 附加MATLAB程序(Additional MATLAB program using neural networks to solve population model)

说明：   有一个长度为整数L(1<=L<=10000)的马路，可以想象成数轴上长度为L的一个线段，起点是坐标原点，在每个整数坐标点有一棵树，即在0,1,2，...，L共L+1个位置上有L+1棵树。 现在要移走一些树，移走的树的区间用一对数字表示，如 100 200表示移走从100到200之间（包括端点）所有的树。 可能有M(1<=M<=100)个区间，区间之间可能有重叠。现在要求移走所有区间的树之后剩下的树的个数。 输入： 两个整数L(1<=L<=10000)和M(1<=M<=100)。 接下来有M组整数，每组有一对数字。 输出： 可能有多组输入数据，对于每组输入数据，输出一个数，表示移走所有区间的树之后剩下的树的个数。(Has a length of integer L (1 &lt = L &lt = 10000) of the road, one can imagine a number line segment of length L, the starting point is the coordinate origin, each integer coordinate points in a tree, i.e. 0,1 , 2, ..., L total has L+1 L+1 positions on the tree. Now to remove some trees, tree removed by a range of digitally represented, such as 100 200 represents removed (inclusive) between 100 and 200 all the trees. There may be M (1 &lt = M &lt = 100) intervals, there may be overlap between the intervals. Now, after the number of trees require the removal of all remaining sections of the tree. Input: two integer L (1 &lt = L &lt = 10000) and M (1 &lt = M &lt = 100). Then there is an integer M groups, each with a pair of numbers. Output: there may be multiple sets of input data, for each set of input data, the output of a number indicating the number of the removal of all remaining sections of the tree after tree.)

对图像水印检测，检测阀值，计算阀值，检测响应(Right image watermark detection, detection threshold, the calculation of threshold, detection response)

一个完整的环境激励下随机减量matlab算法程序(this is a program about RDT)

说明：  一本matlab的虚拟现实的讲义，书写的还不错！(A virtual reality matlab lecture notes, writing bad!)

这是粒子群较详细的工具箱，有不同的应用，并且有实例(This is a more detailed PSO toolbox, there are different applications and have examples of)

application of fuzzy logic in fluid

将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。(The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombinant filling coefficient matrix, the energy of the original image is found concentrated in upper left corner of the low-frequency part of the new image.)

這是一個使用apdaptive bemforming技術，能偵測出jammer在哪兒的源碼。並且比較利用LCMV和LPMV不同之處(This is a apdaptive bemforming the use of technology, able to detect where a jammer source. And compares the difference between LCMV and the LPMV)