BOOK_PROGRAMS

MPEG第十部分AVC，是学习H.264视频编解码的必备文档，非常重要。(MPEG4 part10 Advanced Video Coding,It s very useful to learn video dec&enc.)

0.618算法，可以用VC运行出来，但没有MATLAB算法(function 0.618)

说明：  图像处理程序,单片机嵌入式,FFT算法(Image processing procedures, single-chip embedded, FFT algorithm)

目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.(Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, the data and graphics written independently by oneself are very worthwhile to learn.)

Matlab_Simulink模型到C_C_代码的自动实现(Matlab_Simulink model to C_C_ code automatically)

matabl filtered high frequency noisy

对给定区域进行delaunay三角形化的程序，例子中为正方形区域，可以通过tecplot查看显示结果(Delaunay triangulation program on a given area for example, square area, you can view the results by Tecplot)

image cropping ad asd

opencv人脸识别opencv人脸识别opencv人脸识别(Face recognition opencv opencv opencv face recognition)