method

基于彩色分割的汽车牌照识别 基于彩色分割的汽车牌照识别基于彩色分割的汽车牌照识别(segmentation based on the color of the vehicle license identification based on color segmentation in vehicle license identification based on color segmentation of the vehicle license as identification)

MATLAB数值运算，很实用的MATLAB教程，希望对大家有些帮助。(MATLAB numerical computing, MATLAB is very useful tutorial, we want some help.)

主要是对逆变器低电压穿越控制策略的研究的介绍(Low voltage ride through control strategy of inverter)

说明：  控制系统计算机辅助设计第二版--MATLAB语言与应用一书中的 源码(Computer Aided Control System Design Second Edition- MATLAB language and application of a source book)

升余弦滤波器设计，产生眼图，输入调制方式为2PAM和4PAM，符号率为1Hz，等效信道滤波器为升余弦滚降成形滤波器(缺省滚降系数为0.5)(Raised cosine filter design, resulting in eye diagrams, input modulation for 2PAM and 4PAM, symbol rate of 1Hz, the equivalent channel filter for shaping raised cosine filter (default roll-off factor of 0.5))

HFSS - MATLAB - INTERFACE-API

信号处理，有关自适应滤波器噪声抵消的应用；效果比较好，对学自适应滤波有一定的帮助。(Signal processing, the application of adaptive noise cancellation filter results were better for learning adaptive filter has some help.)

MATLAB实现信号的盲源分离~fastICA方法~源信号与混合信号个数均为2~(MATLAB for signal blind source separation method ~ ~ fastICA number of source signals and mixed signals are 2 ~)

说明：  matlab实现的AR功率谱估计，ARMA功率谱估计。(matlab realized AR power spectrum estimation, ARMA power spectrum estimation.)

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.)