Assignment7-Blurring-Kernel

OAO SVM classification

说明：  旋转图像，平滑会出现的锯齿，例子和源代码(Rotate the image, smoothing jagged occur, examples and source code)

Frequency-resolved optical gating

双电机伺服系统的滑模控制，运行 jieh 可以看到与PID相比的控制效果，运行需要一点时间，2分钟左右，请耐心等待。(Sliding Mode Control of dual-motor servo system)

水印嵌入 扩频算法 使用了空域算法 实现水印嵌入(Watermark embedding algorithm uses the spatial spread spectrum watermark embedding algorithm)

This is about QPSK modulation in simulink.

本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors.)

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.

英语相关的学习方法，很好的学习资料，还有一些时间的内容。(English-related learning, good learning materials, and some time content.)