ART_ARTMAP

遗传算法简明教程，附带程序，深入浅出讲解(Simple genetic algorithm tutorial, with procedures in layman' s language to explain)

均匀线阵的CRB曲线，适用于阵列信号处理问题(CRB curve of the uniform linear array)

一种用于压缩感知图像去噪的matlab代码，使用一个预先决定的字典(compress sensing image denoising)

K-mean算法介绍用matlab实现，很有用啊(K-mean algorithm is described by matlab implementation, useful ah)

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)

matlab毕业编程【谷速软件】弹簧质量阻尼器 (Graduation matlab software programming speed [Valley] spring mass damper)

搜集的MATLAB程序，全是关于pls的(Collection of MATLAB programs, all on the pls of)

Solving ODEs with Matlab: Instructor’s Manual

研究并仿真关于无线通信中MIMO系统注水算法的功率分配(waterfill poweralloction)

SVD-TLS算法进行参数估计，本文用SVD-TLS算法估计观测信号的功率谱，步骤如下： （1） 计算样本相关函数矩阵R的SVD，并存储奇异值和矩阵V （2） 确定R的有效秩，本文使用的是归一化奇异值法来求有效秩 （3） 用总体最小二乘法估计参数 (SVD-TLS algorithm for parameter estimation, this paper observed SVD-TLS algorithm estimates the signal power spectrum, the following steps: (1) Calculate the sample correlation function matrix R, SVD, and store singular values and matrix V (2) to determine R, effective rank, this is normalized using the singular value method to be effective rank (3) The total least squares method to estimate the parameters)