finddepth

This file contains and display nancy s articulated humanoid body in anatomical static posture. Body segments can be accessed independently they are named with suffix: "_point", polygons are also independent with suffix: "_polygons". In addition, the variables "point" and "polygons" include the whole points and polygons respectively with the accumulative index in the case of polygons. After running the file, do a "whos" to see the actual names of body segments.

image compression using combination of spiht and iwt based predictive coding

卫星光网络接入控制中微波与激光中继卫星卫星资源调度相关代码(Satellite optical network access control in microwave and laser relay satellite satellite resources scheduling related code)

基于相量测量的输电线路故障测距新算法 关键词：相量测量；线路参数；故障测距(PMU for Transmission Line Fault Location Algorithm Key words: phase measurement line parameters fault location)

例子程序，学习matlab的号程序，可以运行的调试过了的。(Examples of procedures, the No. matlab learning process, the debugger can run over it.)

本文提出了一种采用六项余弦偶次幂窗三峰插值的算法来对电网谐波进行检测与分析。该算法通过分析电网信号加窗后傅里叶变换的频域表达式，利用谐波频点附近的三根离散频谱的幅值确定谐波谱线的准确位置，进而得到电网谐波的相关参数频率、幅值及相位的计算公式，最后再对其进行加权修正，从而进一步的提高检测的准确度和有效性。( this paper proposes an approach for power network harmonic detection and analysis based on six even order cosine window and triple-spectrum-line interpolation. Through analyzing the adding window signal fourier transform in the frequency domain expression, using amplitude of three discrete spectrum near the harmonic frequency point to determine the accurate position of the harmonic spectrum and get the calculation formula of related parameters of the power network harmonic such as frequency, amplitude and phase, the algorithm further enhances the accuracy and effectiveness by using weighted correction.)

说明：  苏金明《Matlab图形图像》。 本书主要介绍了MATLAB图形图像的基础——句柄图形对象，以及图形着色、光照、材质、纹理映射、透明性和交互操作等高级绘图技术，然后介绍图像处理、虚拟现实和地图制作等几个图形图像方面的工具箱内容全面,可供对有关内容感兴趣的大学生 研究生和科研技术人员参考。(matlab picturing)

数字图像处理姚敏版第六章彩色图像所有例子的完整matlab代码 可以正确运行(Yao Min version of digital image processing color images all the examples of Chapter VI of the complete matlab code can be correctly)

this is the matlab project on aak based on face recognization

pca principal component analysis with medical image(principal component analysis with medical image can make the dimension of the image as short as possible which is easy for us to compare their similiarities)