antenna_RectPatch.m

该算法主要实现lms自适应波束形成功能，其原理简单，操作方便，有一定的工程实用价值(The algorithm is mainly realize adaptive LMS beam-forming function, its principle is simple, the operation is convenient, the project has certain practical value )

压缩感知 用于医学图像 卫星图像,是一种非常有效而且相当先进的技术(The Application of Compressed Sensing for Rapid MR Imaging )

用matlab编写的采用遗传算法进行图像分割程序。(Genetic algorithm for image segmentation using matlab program.)

固高控制卡程序,pt控制方式,需要的可以下载看看.(Googol control card program)

说明：  采用AR法进行的风速时程模拟，数据运算正常，可用于调试和改进。(The wind speed time history simulation with AR method has normal data operation and can be used for debugging and improvement.)

sobel边缘检测在matlab环境下实现的源程序代码(Sobel edge detection in matlab source code realization)

用FIR数字滤波器实现对数字信号的滤波,使设计带阻滤波器，计算相位延迟并绘制滤波后波形序列(FIR digital filter realized with digital signal filtering, band stop filter to design, calculate and draw the filtered phase delay waveform sequence)

2. 要求： ① 收集资料，全面分析课题，分解问题，形成整体编程思路； ② 深入分析各个小问题，编写各部分程序模块； ③ 对于设计中用到的关键函数，要联系问题进行具体介绍； ④ 上机调试，确保程序能正确运行； ⑤ 完成设计报告，并进行答辩。(2. Requirements: ① the collection of information, a comprehensive analysis of topics, decomposition problem, the formation of the overall programming ideas ②-depth analysis of various minor problems, the preparation of the various parts of program modules ③ used for the design of the key function, it is necessary to link the issue of details ④ debugging on the machine to ensure that procedures are functioning correctly ⑤ complete the design report and to respond.)

几种重要的滤波器，中值滤波，fft理想低通滤波，fft高斯低通滤波(median+fft lowpass+fft guass-lowpass)

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)