exp_pid

如果你有一个三维校准对象，你可以应付一个单一的形象。为了获得令人满意的校正结果，对象应包括整个图像以及可能的。此外，多张图片的支持。那么， 图像应捕获不同的观点改变了相机 方向和距离。如果在一个平面标定目标单一 形象是不够的和一套图像是需要解决所有 摄像机的参数。的坐标平面控制点应 被选中，这样的Z坐标成为为零。三维坐标股 毫米和图像坐标单位是像素。校准坐标 系统是用右手。原产地的图像坐标系中 左上角， X轴是正确的和Y轴向下。(If you have a three-dimensional calibration object, you can cope with a single image. Calibration In order to obtain satisfactory results, the target should include the entire image, as well as possible. In addition, the support of many pictures. Then, the image should capture different points of view camera has changed the direction and distance. If a planar calibration target at a single image is not enough and a set of images are necessary to solve all the camera parameters. The coordinates of horizontal control points should be selected, such as Z coordinates become zero. Unit-mm three-dimensional coordinates and image coordinates are pixel units. Calibration are right-handed coordinate system. Origin of the image coordinate system in the upper left corner, X-axis and Y are correct under axial.)

1.实现了最近点平分法的分类器 2.实现了基于凸函数最优解的分类器(1. The realization of the nearest point of the classifier equally Act 2. To achieve the optimal solution based on the convex function of the classifier)

基于神经网络的变压器故障检测matlab实现(Transformer fault detection based on neural network matlab achieve)

ldpc译码算法 实现ldpc的译码 20个字(ldpc the)

Result file from Tongue Detection.

This is a good file.

希尔伯特变换实现了SSB调试，画出信号的时域和频域的图象只管观察(Hilbert transform SSB debugging, draw the signals in time domain and frequency domain image just observed)

matlab算法工具箱，本工具箱主要包含三部分内容 (支持平台MATLAB5.3或5.2,Symbolic math,optim,spline,stats) 1. MATLAB常用数学建模工具的中文帮助 2. 贡献MATLAB数学建模工具(打*号) 3. 中国大学生数学建模竞赛历年试题MATLAB程序(Almost algorithm matlab toolbox)

matlab程序设计以及绘图方面的相关基础资料，使用于初学者(matlab program design and drawing of the underlying data used for beginners)

This folder or any similar folder such as this created to hold your speech files, should be copied into the root folder C: , created on the local hard drive. Then the path will read thus C:SpeechDataTope... etc. An alternative is to modify the file setTemplates.m to change the directory as appropriate. Try to use the same microphone for training as well as for recognition to obtain improved accuracy. You might also need to tweak your sound card s mic input level. The recognition time is dependent on systems s processing power and has been observed at between 1 and 5 seconds on various x86 platforms. To speed up recognition, you can implement unconstrained DTW (this is the code portion taking most time).