FastICA_CPP

一个简单的matlab程序。作用是用快速傅里叶变换（FFT），对心电信号去基线漂移。传统的去基线漂移方法没有提到FFt，只不过效果的确不太好。(Translate From: Chinese To: English ChineseEnglishSpanishTranslate text or webpage 一个简单的matlab程序。作用是用快速傅里叶变换（FFT），对心电信号去基线漂移。传统的去基线漂移方法没有提到FFt，只不过效果的确不太好。 Allow phonetic typingType text or a website address or translate a document. Cancel Yīgè jiǎndān de matlab chéngxù. Zuòyòng shì yòng kuàisù fu lǐ yè biànhuàn (FFT), duì xīn diàn xìnhào qù jīxiàn piāoyí. Chuántǒng de qù jīxiàn piāoyí fāngfǎ méiyǒu tí dào FFt, zhǐ bùguò xiàoguǒ díquè bù tài hǎo.EnglishSpanishArabicAlpha A simple matlab program. The role of the fast Fourier transform (FFT), the ECG baseline drift. To baseline drift did not mention FFt, only the results have not been very good.)

Pathsim相关资料，基于watterson信道模型。希望有所帮助。(Pathsim relevant information, based watterson channel model. Hope that helps.)

采用fastslam对slam算法进行改进。(The FastSLAM is used to improve the SLAM algorithm.)

说明：  使用matlab二元傅里叶变换全息图，字符“E”的MATLAB模拟计算全息图，字符“E”的MATLAB模拟计算全息图的再现图像(Character "E" in the MATLAB simulation of the reproduced image of the hologram)

simulate the performance of a DS-SS/BPSK communication system in the following scenarios: 1. In the AWGN channel 2. In the presence of pulsed noise jamming and AWGN(simulate the performance of a DS-SS/BPSK communication system in the following scenarios: 1. In the AWGN channel 2. In the presence of pulsed noise jamming and AWGN)

matlab的基本教学源码，虽然简单但是浅显易懂。(matlab source code of the basic teaching, although a simple but easy to understand.)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

堆场外部集卡与集装箱的操作计算时间即等待时间(container matlab)

关于图像的二值化三种算法程序，实现图像的二值化(With regard to the image binarization process three kinds of algorithms to achieve the image binarization)

seismic filter with matlab, it s simple application for seismic reflex-ion filtering noise