neuralequalizer

自蛇模型在彩色图像中的应用，彩蛇模型用于图像去噪(Mag_Color_Snake)

Learning Vector Quantization (LVQ) is a supervised version of vector quantization

KALMAN 滤波器 辅助 在线足球运动员跟踪 球赛是由模拟器生成的日志文档 此程序只实现如何利用kalman滤波器 对2维平面上的 运动物体进行跟踪 不涉及任何图像处理的东西 (Kalman filter assisted on-line multiple objects tracking on simulated robot soccer match log file. The tracking system is working on preprocessed data, so no image processing were included in the implementation. )

PSO算法，Quantum inspired PSO for the optimization of simultaneous recurrent neural networks asMIMO learning systems(PSO algorithm，Quantum inspired PSO for the optimization of simultaneous recurrent neural networks asMIMO learning systems)

介绍一种有关基于信号统计特性的频谱检测方法(statistics charcater spectrum detection)

工具箱主要功能: 1） 姿态向量、四元数、矩阵、滤波算法等各类子程序 2） 圆锥运动仿真 划船运动仿真 惯性器件随机误差仿真 3） Kalman滤波初始对准 基于惯性系初始对准 罗经法初始对准 大方位失准角EKF初始对准 大失准角UKF初始对准 速度+姿态传递对准 4） 纯惯性导航SINS仿真 航位推算、SINS/DR仿真 SINS/GPS组合仿真 GPS/BD/GLONASS单点伪距定位 SINS/GPS松/紧组合 POS正逆向数据处理与信息融合仿真 5）(Toolbox main functions: 1) attitude vector, quaternion, matrix, filtering algorithms and other subroutines 2) conical motion simulation rowing simulation inertial device random error simulation 3) Kalman filtering based on initial alignment of inertial gyrocompass initial alignment law initial alignment of large azimuth misalignment angle EKF initial Alignment of large misalignment UKF initial alignment speed+ attitude transfer Alignment 4) pure SINS simulation inertial navigation dead reckoning, SINS/DR simulation SINS/GPS Integrated simulation of GPS/BD/GLONASS pseudoranges single point positioning SINS/GPS loose/tight combination of forward and reverse POS data processing and information fusion simulation 5))

模糊神经网络解耦Matlab程序，比较实用的源程序！(Fuzzy Neural Network Decoupling Matlab program, more practical source!)

DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask: clasification image mask

Blocking probabilities.. 5 switch with 5 stage

说明：  通过em算法实现对数据的高斯混合模型的分类(Em algorithm through implementation of data Gaussian mixture model classification)