labeling

Snake模型和GVF Snake模型的程序，包括2D和3D实现。(Snake model and GVF Snake model procedures, including 2D and 3D.)

在Matlab开发环境上用模拟退火算法求解TSP问题，(Matlab development environment with simulated annealing algorithm to solve TSP problems,)

IEEE802.11n系统级仿真完整程序，引入了MIMO OFDM等技术，实现更高的吞吐率。(IEEE802.11n complete system-level simulation program, the introduction of MIMO OFDM technology to achieve higher throughput.)

说明：  随机森林的一个入门级历程，此例程可以带有稀缺数据集，让你使用训练集和测试集感受到随机森林的强大之处。随机森林的分类与回归，非常之强。秒杀神经网络，是一个人见人爱的算法。(Random forest is an entry-level process, this routine can have scarce data set, let you use training set and test set to feel the power of random forest. The classification and regression of random forest is very strong. Seckill neural network is a love algorithm.)

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

MSP430X44X系列的串口通讯操作完整程序(COM USED IN MSP430)

哈弗曼编码解码的MATLAB程序，简单实用(Huffman codec MATLAB program, simple and practical)

An example that illustrates the importance of shift-invariance is image denoising by thresholding where the lack of shift-invariance causes pseudo-Gibbs phenomena around singularities.In addition to shift-invariance, it has been recognized that an efficient image representation has to account for the geometrical structure pervasive in natural scenes. In this direction, several representation schemes have recently been proposed

Matlab小波图像处理 有参考价值的程序.rar(Matlab wavelet image processing procedures have reference value. Rar)

不可压ns方程主程序，包括动量方程，压力方程等。(Incompressible ns main equations, including momentum equation, the pressure equation, etc.)