sea-surface-modeling-

buck circuit PWM simulation, power electronics(buck PWM simulation)

AN INTRODUCTION TO MATRIX MANIPULATION IN MATLAB The power that MATLAB brings to digital image processing is the extensive set of functions that are available in MATLAB for processing multidimensional arrays, of which matrices (two dimensional numerical arrays) have a one to one correspondence with digital images. This tutorial discusses and illustrates a number of ways used to manipulate matrices. Usually, this is the first step in learning how to apply MATLAB tools to image processing applications.

利用MATLAB 编程语言计算空间最近距离的icp 算法 (For ICP application, and can be applied in robot)

智力游戏 可以在准备数学建模的时候作为练习资料(mathmodeling)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

this is implementation huffman algorithm,you must try code. i think you must try.

matlab语言实现的经典Mean shift 目标跟踪算法(Target tracking algorithm based on classical Mean Shift using matlab)

说明：  WSN clustering: Leach and Fuzzy

SMOOTH uses a vectorized implementation that may be slow when X and/or FRAME_LENGTH are very large. The number of elements that are used for calculation is length(X)*FRAME_LENGTH. The algorithm vectorizes the operation by creating a matrix of indexes and extracting its diagonals. E.g. for a vector of length 4 and frame_length of 2, the algorithm creates a temporary zero-padded matrix x2 from which it creates a set of indexes:

自适应遗传算法，遗传算法的改进，其中有详细的注释，根据需要改初始条件(Adaptive genetic algorithm Improved genetic algorithm, which has detailed notes, according to the need to change the initial conditions )