语音编码文档，将ILBC代码专为硬件时需进行操作及对代码进行优化...

我编写的教学用的图象处理实验指导书和VC源码，详细内容看指导书。此外辅助程序可以把一个彩色图象转变为灰度图象，因为实验内容主要是处理灰度图象的；并且辅助程序是基于Windows C编程的，可以籍此更多了解windows编程的核心机理。-I prepared teaching image processing experimental guide books and VC source, the details look to guide books. In addition auxiliary procedures can be a color image into gray-scale images, mainly because the experiments deal with gray-scale images and auxiliary procedure is based on the Windows C programming, you can take to learn more about the core of windows programming mechanism.

vc++调用matlab函数混合编程实现二值图像的区域标记。-vc++ call matlab function Matlab binary image of the regional markers.

一个图像旋转的完整例程，对于刚刚开始接触图像处理算法研究的学习者非常有帮助。-The integrity of an image rotation routine, just the beginning for the image processing algorithm for contact learners very helpful.

第三章 MATLAB 图形对象 3.1 图形对象 3.1.1 Root 对象 3.1.2 Figure 对象 3.1.3 Uicontrol 对象 3.1.4 Uimenu 对象 3.1.5 Axes 对象 3.1.6 Image 对象 3.1.7 Line 对象 3.1.8 Patch 对象 3.1.9 Rectangle 对象 3.1.10 Surface 对象 3.1.11 Light 对象 3.1.12 Text 对象 -Chapter III of MATLAB graphic objects 3.1 graphic object 3.1.1 Root object 3.1.2 Figure object 3.1.3 Uicontrol object 3.1.4 Uimenu object 3.1.5 Axes Object 3.1.6 Image Object 3.1.7 Line object 3.1.8 Patch Object 3.1. 9 Rectangle object 3.1.10 Surface Object 3.1.11 Light Object 3.1.12 Text Object

使用OPENCV进行运动目标跟踪，在Visual C++ 2005 环境中使用新算法实现多运动目标的跟踪和检测。-this is a object motion tracking system with Visual c++ 2005 and opencv。it can process successly check and track multi-objects。

快跳频的实现方法，实现语句很简单，需要提前实现BIT到SYMBOLS-The realization of fast frequency-hopping method, the realization of statement is very simple, the need to advance the realization of BIT to the SYMBOLS

数字图像处理,离散余弦dct变换域中水印的提取-digital image processing, discrete cosine transform domain Extra watermark extraction

该文献基于多层理想滤波器的纹理特征提取方法,对做纹理图像特征提取的帮助很大。-filter,wenlitezheng ,image

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result

应用matlab进行图像处理，关于小波分析的-Matlab image processing applications on the wavelet analysis