vehicle-sub-system

ridgelet 变换源代码,图象处理方面有广泛应用空间- MATLAB source code that implements the finite ridgelet transform in the paper "The finite ridgelet transform for image representation". (Ridgelet transform source code, image processing has wide application space- MATLAB source code that implements the finite ridgelet transform in the paper )

数字图像处理，利用matlab开发环境进行编程实践。(Digital image processing using matlab to program development environment practice.)

利用平面波展开的方法计算二维光子晶体的缺陷模(Using plane wave expansion method to calculate two-dimensional photonic crystal defect modes)

用匈牙利算法来解决最优的分配问题，比如路径或代价(hungarian algorithm to solve the assignment problem)

Semi-supervised Affinity Propagation clustering.基于AP聚类的半监督学习算法。(The programs of semi-supervised AP are suitable for the person who has interests in studying or improving AP algorithm, and then the semi-supervised AP may be an example for reference.)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)

以下是均方误差、峰值信噪比以及熵的程序代码在MATLAB 中的实现(The following is the realization of the mean square error, peak signal to noise ratio and entropy code in MATLAB)

说明：  用频率采样法设计具有线性相位的FIR低通滤波器(Design of FIR low pass filter with linear phase by frequency sampling)

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

是关于HCM和FCM的图像分割效果比较的matlab源代码程序，有比较的结果。(It is about image segmentation comparison based on HCM and FCM, a matlab code. )