yinyuejianpandaima

自己写的matlab程序 数值分析课程里的程序(Their own written procedures for numerical analysis matlab curriculum procedures)

一个实用的傅里叶分解程序,程序可以输出源曲线和频谱图(a fourier analysis function, which outputs the orgrinal curve and frequncy map of components)

Matlab 二分法以及simpson公式的数值计算程序，适用于数值方法以及矩阵分析。(Matlab dichotomy and numerical calculation program simpson formula for matrix analysis and numerical methods in.)

奇异值分解用于英文文本检索，画出频率矩阵第一奇异值向量和第二奇异值向量的分布图( a fast retrieval algorithm for English texts is proposed. First of all, the English texts are mapped into frequency matrixes of order 26 and the dimensions of texts representation space are reduced through Singular Value Decomposition. Second, it fuses the features of the first singular value component and the second one, and then gets the complex feature vectors which reflect not only the statistic frequency but also the sequential structure of letters. )

说明：  计算3阶通计量的程序，程序可以包含在你自己的工程中，做高阶统计必备！(Calculation 3-order through measurement procedures, procedures can be included in your own projects, so higher-order statistics must have!)

仿真jakes model，就是rayleigh分布相对简单的一种(Simulation jakes model, is relatively simple rayleigh distribution of a)

本算法在Matlab2008b 环境下实现了立体视觉中摄像机的基础矩阵计算。包括main, sevenPoint、eightpoint 和eightpoint_norm三个函数。 main.m 是程序的入口，包括生成和读入实验数据，分别调用sevenPoint、eightpoint 和eightpoint_norm 三个函数求基础矩阵，最后绘制出最后的结果。sevenPoint.m 是用7 点法求解基础矩阵。eightpoint.m 是用8 点法求解基础矩阵，eightpoint_norm.m 是数据规格化后的8 点法求解基础矩阵。(The algorithm is implemented in Matlab2008b environment based stereo vision camera matrix calculations. Including the main, sevenPoint, eightpoint and eightpoint_norm three functions. main.m is the entry, including the generation and reading test data were calling sevenPoint, eightpoint and eightpoint_norm three fundamental matrix function evaluation, and finally draw the final result. sevenPoint.m 7 method is based on matrix. eightpoint.m 8-point method is based on matrix, eightpoint_norm.m the data after the 8-bit normalized fundamental matrix method. )

通过对RSSI测距模型进行分析， 并提出一种针对室内环境的参数修正方案。 通过 自行研发的传感器节点，上进行验证分析，实验表明，采用环境参数修正方案后， 明显提高了测距的精度。(We studied andanalyzed RSSI—based distance estimated model, and provide aparameter calibration method which in specific to indoor environmental applications．Experience on our prototype node)

remote sensing image analysis done by segmentation and classification is done finally

MATLAB小程序，实现模糊仿人只能的仿真，和PID进行了对比(MATLAB applet, fuzzy imitation only simulation, and PID were compared)