matlab-introduction

说明：  汽车颜色识别 svm分类识别， 识别汽车颜色的程序可用(Vehicle color recognition SVM classification recognition, the program of vehicle color recognition is available)

神经网络原理与实例精解,有用，希望有帮组(Examples of neural network theory and refined solution)

LCMV优化设计阵列处理信号，正确率可以达到98％，自写曲率计算函数 。( LCMV optimization design array signal processing, Accuracy can reach 98 , Since writing the curvature calculation function.)

格基约减下的zf(迫零检测)算法，适用于多输入多输出系统(lattice reduction aided ZF algorithms)

在opnet平台对离散时间仿真机制的基于包的通信进行了建模仿真(In the discrete-time simulation platform opnet packet-based communication mechanism for the modeling and simulation)

<精通MATLAB科学计算>的配套源码,每一章都很齐全(the source code of "master MATLAB for science")

PAR reduction in OFDM via active constellation extension

说明：  这个例子展示了一种高压电池，类似于混合动力汽车中使用的电池。该模型采用真实的直流链路电流分布，该电流分布来源于动态驾驶循环。总模拟时间为3600秒。此示例演示如何使用Simscape对铅酸蓄电池单元建模 实现等效电路元件非线性方程的语言。这样，与完全在Simulink中建模不同，模型组件和定义物理方程之间的连接更容易理解。有关定义方程及其验证，请参见Jackey，R.“电气系统部件选择的简单有效铅酸蓄电池建模过程”，SAE世界大会与展览会，2007年4月，参考文献2007-01-0778。(This example shows how to model a lead-acid battery cell using the Simscape language to implement the nonlinear equations of the equivalent circuit components. In this way, as opposed to modeling entirely in Simulink, the connection between model components and the defining physical equations is more easily understood. For the defining equations and their validation, see Jackey, R. "A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection", SAE World Congress & Exhibition, April 2007, ref. 2007-01-0778.)

Region growing algorithm for gray-scale images (1-channel). Implemented on MATLAB for segmentation.

结构光是三维重建matlab完成实例~。(Which matlab just completed rebuilding the structure.)