florier

本代码为特征提取代码，是从高维数据到低维数据(The source code for the feature selection to reduce the high-dimensional data low-dimensional data)

Robotics book form a famous brasilian author, free copy and its in portuguese

解决最大流问题，使用Ford_Fulkerson算法。程序中包含例题。(Solve the maximum flow problem, to use Ford_Fulkerson algorithm. Examples included in the program.)

matlab数据统计与分析教学资料 ppt文件 可下载使用(matlab statistics and analysis of teaching materials ppt file can be downloaded using the)

首先分析了瑞利衰落信道统计特性，并在此基础上给出了clarke模型，然后提出仿真方法，包括成形滤波法、jakes仿真模型及其多种改进方法，接着阐述了上述仿真模型的软件实现过程，并利用matlab进行了计算机仿真，然后给出衰落信号的仿真信号和分析结果，仿真结果证明了提出的仿真模型与理论曲线匹配度高，可以很好地模拟无线衰落信道(First analyze the statistical properties of the Rayleigh fading channel, and clarke model is given on this basis, and then asked the simulation methods, including the forming of the filter method, the the jakes simulation model and a variety of improvement, then described the simulation model of the software implementationprocess, and using matlab computer simulation, and then gives the simulated signals and analysis results of the fading signals, simulation results show the proposed simulation model with the theoretical curve to match high, can simulate the wireless fading channel)

Matlab和C的混编，用于SAR图像去相干斑，将处理加性噪声的BM3D推广到SAR。(Functions for Matlab for the denoising of a SAR image corrupted by multiplicative speckle noise with the technique described in "A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage", written by S. Parrilli, M. Poderico, C.V. Angelino and L. Verdoliva)

关于清华大学的自适应滤波算法的讲课文件，包含各种算法的讲解。(Tsinghua university about the adaptive filter algorithm of lecture documents, including different kinds of the sense of the algorithm. )

总结了matlab中的所有的工具箱，并给出一些例子教给我们怎么使用(Summarizes all of the toolbox in matlab, and gives some examples to teach us how to use)

matlab2010经典教程,对matlab编程人员有很大的帮助。(matlab2010 classic tutorial matlab programmer a lot of help.)

已知一组二维模式矢量如下（20个）,利用k均值聚类算法将模式集分类，并计算出聚类中心。利用输入层为2个神经元，输出层结构为7*7方阵的自组织映射（SOFM）对同样模式进行聚类(Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster center. Using the input layer 2 neurons, the output layer structure for self-organizing map 7* 7 phalanx (SOFM) for the same model clustering)