License-plate-positioning-system

说明：  这段代码详细描述了kl变换步骤及方法,谢谢下载(described in detail the steps and methods of Kl transform)

说明：  并网光伏发电系统最大功率点跟踪技术的研究.nh(Grid-connected photovoltaic power generation system Maximum Power Point Tracking Technology. Nh)

说明：  用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题(achieved using Matlab using statistical methods to solve nonlinear chaotic time series forecasting system problems)

关于超宽带定位与测距的源代码，比较有参考价值(UWB location and distance on the source code, compared with reference value)

This function(s) can be used to interactively view any kind of 3D image volumes like CT and MRI, and for distance measurements or ROI selection in 2D slices. It includes Maximum intensity projections (MIP), Volume Rendering (VR) , Slice render, and colored and Phong shaded Volume rendering. Voxel opacity and color tables can be changed on the fly allowing also iso surface kind of renders. The fast render algorithm which renders a 3D volume to a 2D image, is based on a Matlab coded implementation of the Shear-Warp transform, in which instead of rotating the viewer rays the slices are sheared.

ac ac power converter

matlab 的一些实例，希望对大家有所帮助，多多参考(no no no no no no no no no no no no on no no )

初学MATLAB的一些实例 希望对大家有用(MATLAB example)

使用matlab编程环境实现同态信号的滤波处理，同态滤波算法(Matlab programming environment used to achieve the filtering Homomorphic signal processing, homomorphic filtering algorithm)

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)