CARIMA

THESE ARE METLAB BOOKS IMPORTANT TO LEARN MATLAB

Code about color detection

Kalman 滤波 和曲线拟合 之间的对比试验(Kalman filtering and comparison test between the curve fitting)

说明：  matlab bag-of-local-features-models-master

PANELS开发基于DOS环境下用户界面... 软件类别：窗口界面 运行环境：Win9x/NT/2000/XP/ (PANELS development environment based on DOS user interface ... software categories : window interface operating environment : Win9x/NT/2000/XP /)

用于方程组求解的matlab实例源代码（赋使用说明）(Equations for the matlab source code)

时频分析的工具，完成时频分析，希望能够对大家有帮助，共同进步！(Time-frequency analysis tools, complete the time-frequency analysis in hopes of help, make progress together!)

Spread Spectrum Watermarking MATLAB

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

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