mathworks

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.

tracking object using Image Processing Toolbox Matlab

Saber-Simulink协同仿真文件 协同仿真 官方自带(Saber-Simulink co-simulation simulation official document collaboration comes)

Study of the interaction between wind power plants and SMES systems

MATLAB初级演示系统，用于绘制连续时间系统的零状态响应(MATLAB primary presentation systems used to map the continuous-time system, the zero-state response)

matlab Genbank databse access

三级倒立摆的稳定， 使用三种鲁棒控制设计，详细的注解说明和simulink仿真。(The stability of triple inverted pendulum, the use of three kinds of robust control design, detailed descriptions and simulink simulation annotation.)

手机定位中基于TDOA技术的泰勒算法的仿真(TDOA mobile location technology based on the Taylor algorithm simulation)

电位电极系测井曲线，用matlab编写,可用于学测井的人参考(Potential electrode system logs, prepared by matlab, people can learn logging for reference)

例1 采用动量梯度下降算法训练 BP 网络。 例2 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Example 1 uses the momentum gradient descent algorithm to train the BP network. Example 2 uses the Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, the LM optimization algorithm (trainlm) and the Bayesian regularization algorithm (trainbr), to train the BP network to fit a sine sample with white noise data. )