zernike

以Matlab为平台设计一个用于寻求多峰值函数峰值点的软件对一元及二元多峰值函数的优化；(To Matlab as a platform for the design of a multi-peak function to find the peak point of the software on more than one million and two peak function optimization )

无线传感器网络协议的数据传输对比以及能量消耗对比(Wireless sensor network data transfer protocol and the energy consumption comparison Comparison)

处理超声设备用线阵探头采集到的RF数据，对其进行分析，并进行成像。(signal processing)

说明：  用于计算2D梁板壳的IGA程序,适用于IGA初学者(The MATLAB code for 2D modeling of beam, plane and membrane.)

利用ann预测北京公交——2005年的客运量，这里的客运量只包括北京公交总公司承担的客运量，不包括地铁的客运量(This program is useful to forecaste the ridership of Beijing public transportation )

本文主要做了1.对三维重建系统中的预处理算法和分割算法进行细致研究，并通过大量实验进行对比分析，指出其优缺点及适用围。 2.传统的分割算法处理每一幅图片都需要用户选定对象和背景，耗时较长。针 对医学CT连续断层图像间相关性强特点，提出一种把Graph Cut方法和区域生长方法相结合的图像分割算法。3.最后将分割目标与后续重建算法结合起来，建立一个完整的三维重建系统。 (This paper has 1 of 3D reconstruction system of preprocessing and segmentation algorithm is carefully studied, and through a lot of experiments are compared and analyzed, and points out their advantages and disadvantages and application range. 2 traditional segmentation algorithm to deal with each picture requires the user to select the object and background, time-consuming. For medical CT images correlation strong characteristic, put forward a segmentation algorithm combining Graph Cut method and region growing method. 3 finally the target segmentation and subsequent reconstruction algorithms are combined, the establishment of a complete 3D )

关于DOA估计，即波达方向估计的matlab程序，经过检验可以直接运行，适合于刚入门的同学(About DOA estimation, DOA estimation matlab program can be run directly tested, suitable for students just getting started)

基于元胞自动机编写的传染病扩散matlab代码，为了运行方便，把所有代码都集中在了一个m文件中，重要部分都带有注释，算法取得了较好的结果，在这里分享给大家。( Cellular Automata based infectious disease diffusion write matlab code, in order to facilitate operation, all the codes are concentrated in an m file, important parts are annotated, the algorithm has achieved good results, here for everyone to share.)

mrvm是RVM的改进，可直接用于多分类。不用什么一对一之类的。效率更高更好使。(Mrvm is an improvement of RVM and can be directly applied to multi classification. No need for one to one. Efficiency is better and better.)

singular spectrum analysis