BM3D

matlab下的GUI使用指导视频，让你快速掌握GUI的使用(GUI using matlab under the guidance of video, let you quickly master the use of GUI)

這是一個類神經網路中倒傳遞類神經網路，應用於圖形識別上，可以把兩個不同分類的點，藉由BP找出他的分割線進行區分(This is a type of neural network back-propagation neural network applied to pattern recognition, it can be classified into two different points, by BP to find his distinction between partition lines)

无刷双馈电机S函数模型，是状态方程，编写的，可以直接使用的。(The BDFM S-function model, equation of state, written, and can be used directly.)

计算LDPC码理论性能的MATLAB程序,有例子说明,对通信系统设计很有帮助!(Calculation of theoretical performance of LDPC code MATLAB procedures have examples to illustrate the communication system design helpful!)

MIMO无线通信 仿真代码MATLAB环境下 均能实现 是初学无线通信很好的材料 (MATLAB simulation code for MIMO wireless communication environment, wireless communication can achieve a very good material for beginners)

利用matlab的lpc function 實做出將input source音檔算出其coefficent and gain並由上述資料可以重新合成還原音訊(The lpc function using matlab real audio file to make the input source is calculated by its coefficent and gain reduction above information can be re-synthesized audio)

轨道动力学的一些有关算法，包括拉格朗日系数计算，轨道根数求解等(Some algorithms of orbital dynamics, including calculation of Lagrange coefficients, solution of orbital elements, etc.)

医学外周学图片白细胞核的分割算法，能准确的分割出细胞核(Medical school picture of peripheral white cell nucleus segmentation algorithm can be accurate segmentation of the nucleus)

一种数字水印技术的研究与应用，采用MATLAB编程(A digital watermark technology and applications programming using MATLAB)

说明：  对一个二阶模型模型进行脉冲响应辨识，并且通过搭建simulink模型取得了两组输入-输出数据，一组是在有高斯噪声的干扰下获得u1-y3，另外一组是在没有高斯噪声的情况下获得的u1-y1，对这两组数据进行基于haar小波基的脉冲响应辨识，与实际模型的脉冲响应相比较（注：三个excel表必须放在matlab/work文件夹下才能运行）(Second-order model to a model of impulse response identification, and achieved through building simulink model for two groups of input- output data, a Gaussian noise in the interference with access to u1-y3, another group in the absence of Gaussian noise of access to the u1-y1, these two sets of data haar Wavelet-based impulse response identification, and the actual model of the impulse response comparison (Note: Three excel table must be on the matlab/work folder to run ))