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Computes the vector gradient of an RGB image

蚁群算法的最基本算法matlab实现。适合初学者学习。(Matlab basic ant colony algorithm implementation. Suitable for beginners to learn.)

本资料包括风电场一年内的风速实测数据，并根据实测数据对风电场风速和输出功率进行预测和建模仿真，希望对大家有帮助。(This information, including wind velocity measured data within the electric field of the year, and based on the measured data on wind speed and power output forecasting and modeling and simulation, we hope to help.)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

一个9输入4输出的矩阵，利用BP神经网络训练并预测。通过不断的调试获取最可靠地输出。(A 9-input 4-output matrix, using BP neural network training and prediction. Continue to debug access to the most reliable output.)

二元ldpc译码器 min-sum算法 迭代次数固定 输入信号长度一帧512bits(binary ldpc decoder. min-sum algorithm。fixed iter number.512 bits/frame)

使用风电场历史数据，基于pso-bp算法进行风电功率点预测(PSO-BP algorithm for prediction of wind power)

Matlab 利用S函数编写系统模型，分为离散模型和非线性模型。(Matlab to using S functions to the preparation of system model, is divided into discrete model and nonlinear models are.)

MATLAB 中直方图均衡化和规定化处理函数格式如 下:(Histogram equalization in MATLAB and provisions to deal with functions of the following format:)

explain the coding and decoding of FEC