total8bian

一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。(An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function.)

编程实现大津（Otsu）自动灰度阈值分割算法的程序(Programming (Otsu) automatic gray Otsu threshold segmentation algorithm)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

有关图像的目标识别："给出一种基于特征分类辨识的合成孔径雷达图像目标检测方法#用恒虚警和扩展分形方法对3&E图像进行目 标检测后用面积和峰值能量比算子辨识目标和背景杂波!去除一部分虚警!用小波域主成分分析对每个检测窗口内的图 像提取特征向量!用支持向量机对提取得到的特征向量进行分类!辨识目标和背景杂波!完成目标检测#使用&K?3数 据对该方法进行验证和分析!实验结果表明!经过特征分类辨识后!在检测率不变的情况下!虚警数目显著降低# (Related to the image target recognition)

时空域下的信息隐藏技术，LSB ,MSB以及二值图像中的信息隐藏(When the airspace under the information hiding technology, LSB, MSB, as well as binary images of Information Hiding)

双目立体匹配中获取图像对的视差图，可用于后续的三维重建工作。(Binocular stereo matching to get the image on the disparity map can be used for subsequent 3D reconstruction.)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

这篇文字介绍了基于IBP重建的图像超分辨算法(this paper introduce an super-resolution Algorithm based on IBP)

阵列信号处理方面的经典程序，包括MUSIC算法，ESPRIT 算法，Root-MUSIC算法面阵中二维角度估计 Unitary -ESPRIT算法，空间平滑MUSIC算法，传播算子DOA估计算法等等(Classical array signal processing procedures, including the MUSIC algorithm, ESPRIT algorithm, Root-MUSIC algorithm for two-dimensional planar array of point estimates Unitary-ESPRIT algorithm, spatial smoothing MUSIC algorithm, propagator DOA estimation algorithm, etc.)

sift算法图像特征提取，用于图像定位及目标跟踪(Using SIFT algorithm to extract image feature)