setup_lab_heli_2d

说明：  zero sequence caliculation

使用MATLAB语言编写的有限元程序，是对[Programming_the_Finite_Element】中Fortran语言的MATLAB语言重写(Use MATLAB language finite element program is [Programming_the_Finite_Element MATLAB language] in Fortran language rewrite)

研究表明，构成K一L变换矩阵的向量也就是ToePhtz矩阵的特征向量。与此同时，离散 余弦变换矩阵逼近于ToePutz矩阵的特征向量矩阵，所以离散余弦变换矩阵与自然图像的 K一L变换矩阵十分相似。经过离散余弦变换后的变换系数块的协方差矩阵Cy非常接近对角 阵，即除了对角线元素以外，其它很多元素都近似为0，并且在左上角集中了主要能量。这 反映了自然图像大部分区域变化不大，亮度突变只占少数，即图像能量以低频成分为主的特 性。通过变换后的量化，舍弃对视觉效果影响较小的次要信息，可达到进一步的压缩效果。 虽然从去相关性能的意义上讲，DCT是一种次于K一L变换的准最佳变换，但是从算法实现的角度来看，DCT则远远优于K一L变换。首先，当图像的分块大小确定后，DCT的变换矩阵也就随之确定了，不随输入信号的统计特性变化而变化 其次，二维DCT能够分解成两次一维DCT，有利于硬件实现。 (Studies have shown that constitute a K L transformation matrix vector is ToePhtz eigenvector of the matrix. At the same time, discrete The cosine transform matrix approximation in ToePutz matrix eigenvector matrix, so the discrete cosine transform matrix and natural images Is very similar to a K L transformation matrix. After discrete cosine transform, the transform coefficient block of Cy is very close to the diagonal of covariance matrix Matrix, namely except diagonal elements, many other elements are approximate to 0, and focused the main energy in the upper left corner. this Reflects the natural images most area changed little, brightness mutations accounted for only a few, the energy is given priority to with low frequency components of image Sex. Through quantitative after transformation, abandoning smaller effect on the visual performance of secondary information, can achieve further compression effect. Although from related to the performance of the sense, DCT is a kind o)

基于MATLAB的电法测井电阻率及电压曲线正演模拟(Simulation of double electric logging resistivity and voltage curve is based on MATLAB)

实现K近邻算法，并提供两个数据集的分类、回归测试案例。(Realize the KNN algorithm, meanwhile two test cases including both classification and regression.)

用于相机标定的两种经典算法的源程序：张正友法和Tasi法(Used for camera calibration source of the two classical algorithms: Zhang Zheng-you Law and Tasi France)

Gauss-Jordan routine, single RHS

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerprint, palm and many other biological traits. They all offer new solutions for person identification, authentication and security. Currently users have to carry security badges or know certain pin/pass codes in order to get into secure zones or to log into a computer. In this paper we propose an algorithm for iris recognition, which can be applied in real time with standard webcam and with good matching result.

This is a simulink model that perform Perturb and observe algorithm for maximum power point tracking.

《Matlab图形和数据可视化》一书的附带源代码(MATLAB Graphics and Data Visualization Cookbook)