Poweallocation2013paper

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.

说明：  利用matlab中随机森林工具包数据进行预测(RF toolkit data in matlab was used for prediction)

用鍵合圖方法進行建模的汽車懸架仿真 m文件 可改參數(bond graph)

汉明编码汉明编码汉明编码汉明编码汉明编码汉明编码汉明编码汉明编码汉明编码汉明编码(Hamming code Hamming code Hamming code Hamming code Hamming code Hamming code Hamming code Hamming code Hamming code Hamming code)

machine learning-optimiztion

this file is about beam forming with adaptive file

脉冲噪声下跳频信号的时频分析，低阶SPWVD,抑制噪声并且得到其参数估计。(Impulse noise time-frequency analysis, frequency hopping signals under low SPWVD and suppress noise and get its parameter estimation.)

用matlab计算131个特殊函数,对工程设计人员有帮助!(Matlab calculated using 131 special function, the project designers have to help!)

ARIMA模型对化工厂生产浓度进行十步预测。内容简洁使用方便。(ARIMA model for chemical production concentration ten-step prediction. Concise and easy to use.)

验证时域采样定理,奈奎斯特定律,奈奎斯特频率(The time domain sampling theorem)