HC_analytical_h

A MATLAB tool for analysis of Transient Otoacoustic Emission signals

基于小波变换的特征检索算法，用了广义高斯函数和K-L距离为相似侧度 (Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance)

基于多样性测度的改进的多目标进化算法。处理约束问题的改进的多目标进化算法。(Diversity measure based on improved multi-objective evolutionary algorithm. Improved handling Constrained multi-objective evolutionary algorithm.)

Image segmentation plays an important role in computer vision and image processing applications. The motivation of this project is Image Segmentation with the presence of Intensity inhomogeneities. Intensity inhomogeneity often occurs in real world images due to spatial variations in illumination and imperfections of imaging devices

bpsk误码率，做毕业设计常用到的哦，题目是单入单出系统的误码率和信噪比的关系图(bpsk error rate, used to do Oh graduation, into a single topic is the system single-bit error rate and signal to noise ratio graph)

非常好的关于,BP网络层数设计工作，有很好的应用价值。(Very good BP Neural network,Very good application)

torsche是matlab下的一个工具箱，可以用来仿真实时调度算法，如EDF RM等，结合Matlab和Visual studio混编后可以使用，其自带的一些工具包里也有很多应用用例可以用来参考(torsche under a toolbox matlab , simulation can be used for real-time scheduling algorithms, such as EDF RM , etc. , combined with Matlab and Visual studio can use the hash , which comes with some tools package , there are many use cases can be used to refer to the application)

基于vsc的高压直流输电模型,包含PQ控制和电压电流控制两种控制方法(High voltage direct current transmission model based on VSC)

提供了经典的图像修补算法的源代码，对于初学者有很大的帮助，重点推荐。(Provides a classical image inpainting algorithm source code is very helpful for beginners, focusing on recommendations.)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。(Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions.)