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THIS IS THE MATLAB SOURCE CODE

建立汽车3自由度模型，得到汽车侧翻预警基础。模型中各参数以标注，方便查看。(The 3 degree of freedom model of vehicle is established, and the warning base of rollover is obtained. The parameters in the model are marked for easy viewing. )

MATLAB无约束一维极值问题，解决无约束的一维极值问题(very good)

一个简单的，低成本的装置的设计优化 对均匀光纤布拉格光栅的布拉格波长 光栅（FBG）。调谐范围是通过 为45.34 nm的基于一个原则 在强度均匀矩形梁 模拟。 (A simple, low cost setup was designed for tuning the Bragg wavelength for a uniform fiber Bragg grating (FBG). The tuning range was achieved by as much as 45.34 nm based on the principle of a rectangular beam of uniform strength in the simulation.)

使用matlab来实现图像去噪功能，图像可以随机确定。(Using matlab to realize the function of image denoising, image can be determined randomly.)

可以提取叶脉，用matlab写的。用的是rgb2yuv，然后用hough变换(it can extract vein matlab rgb2yuv and hough translation)

说明：  与连续信号的解调相比，短时突发信号持续时间短，不适用性能良好的反馈环路算法，需要使用前向幵环算法。与一般突发信号相比，短时突发信号没有训练序列、同步头等辅助信息，所有参数需要利用有限的数据估计。与合作通信相比，盲接收信号参数的初始偏差较大，估计范围小的算法不适用。每个突发包的数据有限，解调过程不允许丢失任何符号。(Compared with the demodulation of continuous signal, short burst signal has a shorter duration and is not suitable for the feedback loop algorithm with good performance. Forward loop algorithm is needed.)

metlab入门比做的50到题，很经典，大家如果想学的，静下心来好好看看。很不错。(metlab entry talks as that of the 50, classic, If you want to learn, reflecting back a good look. Is pretty good.)

滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。(Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information.)

利用Capon, MUSIC进行窄带信号空域信号方向估计。比较分辨率性能。观察阵元数、信噪比、快拍数对估计器性能的影响。 (Using Capon, MUSIC for narrowband signal airspace signal direction estimates. Comparative resolution performance. Observe the number of array elements, signal to noise ratio, the number of snapshots on the estimator performance.)