matlab-GUI-meterpanel

Adaptive noise removal filter for both grayscale and color images

用于对全景镜头进行标定，能求解出图像上对应点的世界坐标的方向向量(The OcamCalib Toolbox for Matlab allows the user (also inexpert users) to calibrate any central omnidirectional camera, that is, any panoramic camera having a single effective viewpoint (see section 17). The Toolbox implements the procedure initially described in the paper(Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems (ICVS 06), New York, January 5-7, 2006.) and later extended in (Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Toolbox for Easy Calibrating Omnidirectional Cameras", Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing China, October 7-15, 2006. ). A detailed introduction to this model is in section 19 of this Tutorial. Furthermore, you can also see a demo of how the toolbox works here. The Toolbox permits the user to easily and quickly cal)

巴特沃夫高通滤波器通过高通滤波可用于检测奇异点。(Butterworth high-pass filter high-pass filter can be used to detect singular points.)

专为建模学生提供的算法：顶点覆盖近似算法(Designed to provide students with modeling algorithms: vertex cover approximation algorithm)

遗传算法中最常用的通用工具箱 ｇａｏｔ(Genetic algorithms the most commonly used general-purpose toolbox gaot)

Kriging 内插算法 通过已知点的测量值来内插获取未知点的预测(Kriging algorithym)

人工势场法的matlab代码，实现机器人的路径规划，避开障碍物( Artificial potential field method matlab code to achieve the robot s path planning, obstacle avoidance)

说明：  搭建BPSK+编码+交织仿真通信链路，仿真分析在不同信道条件下的不同译 码算法的误比特率性能。基于matlab，搭建BPSK+卷积编码+交织通信收发链路， 仿真参数如下： 1) 信源比特速率： 100 b R kbps = 2) 卷积编码：码率为1/2，生成多项式为（561,753） 3) 译码方式：维特比译码（硬判决译码、软判决译码（8 比特量化）） 4) 交织：行列交织，交织器深度为100bit，宽度为10； 5) 仿真点数：106(BPSK+ coding + interleaved simulation communication link)

说明：  用于小波分析寻找稳定周期，解决频率问题，适用于时间序列分析(It is used for wavelet analysis to find stable period and solve frequency problem)

应用随机过程教程及在算法和智能计算中的随机模型，清华大学出版社，龚光鲁，钱敏平著。(Tutorial and the application of random process algorithm and intelligent computing of the stochastic model, Tsinghua University Press, Gong Lu, Qian Min-Ping book.)