matlabarray

this source code use to recognize iris using ANN method

说明：  对成型脉冲串进行中频调制，输出为复基带信号。还可通过各种自定义信道。(On the frequency modulated pulse train forming the output for the complex baseband signal. Can also be customized through various channels.)

matlab代码，不利用模糊工具箱的情况下编写的模糊神经网络程序。(Matlab code, not fuzzy neural network program prepared in case of fuzzy toolbox.)

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

说明：  关于模糊仿人智能控制matlab的小论文，描述了整个的模糊过程。(Essay on matlab fuzzy humanoid intelligent control, describes the entire fuzzy process)

it s used to detect circles in edge image as input by Hough transform. you can assign a region of interest (ROI) to find center of circle in it.it s effective because time of run is decreased.

FFT及应用实验报告,用matlab对fft进行仿真，包括图形和代码(Application of FFT and experimental reports on the fft using matlab simulation, including graphics and code)

全国大学生数学建模问题,是非常重要的国家级赛程，这对于我们很有帮助的啊！(National Mathematical modeling is very important for evey students,so it is very good for prevent students,and,it is good for our.)

k-means分类测试，通过自己建造数据集测试分类方法使用效果(K- means classification test, by building their test data set classification method using effect)

说明：  灰色预测模型是一种模糊预测算法，可以对信息不完全的或不知发展规律的变量进行预测(Gray prediction model is a fuzzy prediction algorithm, you can not know or incomplete information to predict the development of the law of variable)