shiyupinyutu

A MATLAB Simulation of Transient Otoacoustic Emission signals

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。 ben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。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)

xin chao cac ban dung tai file nay vi khong duoc gi

Probabilistic neural network algorithm matlab experimental procedure can be used for license plate recognition to identify issues such as character recognition

浙大版最优化方法，写的比较好的一本，对学习最优控制很有启发(Zheda version optimized method to write a good, very instructive learning optimal control)

matlab的m文件 计算两幅影像的协方差 源码简洁高效(matlab m-file， computing the covariance of two images， simple and efficient source)

Jerk混沌系统产生的模拟信号的均值化处理 方法简单效果明显(Mean treatment method Jerk chaotic system to produce an analog signal simple obvious effect)

本案例基于MATLAB的GUI工具进行设计仿真实验：通过对采集的车牌图像进行灰度变换、边缘检测、腐蚀及平滑等过程来进行车牌图像预处理，并由此得到一种基于车牌颜色纹理特征的车牌定位方法，实现车牌区域定位，最后实现车牌字符的分割与识别。(In this case based on MATLAB GUI design simulation tool: through the license plate image capture through gradation conversion, edge detection, corrosion and smoothing process for the license plate image preprocessing, and thereby obtain a color texture features based on license plate the method of license plate location, license plate positioning to achieve, and finally realize the segmentation and recognition of license plate characters.)

此程序实现的是对一幅图像进行卡尔曼滤波实现多天线时变信道下基于卡尔曼滤波跟踪的数字图像通信系统仿真(Realize this procedure is the image of a Kalman filter to achieve multi-antenna time-varying channel tracking based on Kalman filtering of digital image communication system simulation)

应用matlab，通过对原有图像去噪算法的改进，实现效果更好的图像去噪。(Application of matlab, the adoption of the original image denoising algorithm to achieve better image denoising effect.)