Heli_Da_Y

说明：  用编码结构光实现物体的三维测量，这是前期的图像处理和摄像机标定的程序(Of objects with coded structured light three-dimensional measurement, it is pre-image processing and camera calibration procedure)

Star plots - MATLAB files for Graphical Representation of trace elements of clinkers(- MATLAB files for Graphical Rep. resentation of trace elements of clinkers)

C++ simple examples for beginners -part 4

Capon形成器，对多频信号进行插值处理得到较好的波束形成效果(Capon forming device, interpolation processing of the multi-frequency signal to get a better beam-forming effect)

循环周期特征的谱传感技术 频谱感知；匹配滤波器感知；能量感知；合作式感知；(Cycle characteristics of the spectrum sensing technology spectrum sensing perception matched filter energy-aware cooperative perception )

这是学习matlab的资料，还可以的，希望对大家有帮助。(This is a learning matlab information, but also hope to have everyone help.)

GUI界面，对于灰度图像做简单处理，如平滑、锐化、裁剪、旋转、放大、缩小等。(image processing，include several functions)

OFDM的Matlab仿真，加入了加性白高斯噪声，模拟了整个通信系统。(OFDM Matlab simulation)

说明：  利用双线性变换法设计一个级联型的椭圆IIR滤波器，对一段含噪语音信号进行滤波去噪处理并根据滤波前后的波形和频谱分析滤波性能。本课程设计仿真平台为MATLAB7.0，开发工具是M语言编程。首先在Windows下用录音机工具录制一段语音信号，并人为加入一单频噪声，然后对信号进行频谱分析以确定所加噪声频率，并设计滤波器进行滤波去噪处理，最后比较滤波前后的波形和频谱并进行分析。(Bilinear transformation method is used to design a cascade elliptic IIR filter, for a period of noise speech signal filtering denoising processing and according to the waveform and spectrum analysis of filtering performance before and after filtering. This course design simulation platform for the MATLAB7.0, development tools is M language programming. First under Windows tool to record a voice signal, a tape recorder and deliberately added a single frequency noise, and then the signal to determine the added noise frequency spectrum analysis, and design the filter for filtering denoising processing, finally compared before and after the waveform and spectrum of filtering and analyzed. )

本程序需要用到MATLAB遗传算法工具箱，但是遗传算法工具箱有很多种，这里使用GEATbx工具箱，该工具箱是由英国Sheffield大学开发。(This program requires MATLAB genetic algorithm toolbox, but there are many genetic algorithm toolbox used here GEATbx toolkit, which was developed by the University of Sheffield, UK.)