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color detection used to find color in images

上传一个将正弦函数通过Delta-Sigma调节器转换成正负一的脉冲信号。并分别激励同一系统，得到良好的一致输出(Upload a sinusoidal function by Delta-Sigma modulator converts a signal of positive and negative pulse. And separately driven in the same system, to obtain a good coincidence output)

this is a simulink model about powersystem connected with windfarm protection

A Matlab implementation of the Jonker-Volgenant algorithm solving LAPs

matlab平台下的一个车道线检测算法 其中主要包括了HOUGH变换方法和大津自动阈值分割方法,在打包文件中详细说明了每个函数的作用,其中包括了验证图片(Matlab platform under a lane line detection algorithm which includes mainly the transformation methods and HOUGH big-automatic thresholding methods, the packing paper detailed description of each function of the role, including the certification Photo)

用MATLAB在产生的观测数据中捕获其中PRN 号码为“5”C/A 码。 （1） 观测数据应该有一定的多普勒频偏D f（-10kHz〈D f〈+10kHz）； （2） 加入高斯白噪声，使其信噪比为-20dB； （3） 捕获成功后，应给出捕获标志，并给出估计的频偏和码偏值。(Generated by MATLAB in which observed data capture PRN number is " 5" C/A code. (1) there should be some observations of Doppler shift D f (-10kHz < D f < +10 kHz) (2) by adding Gaussian white noise, so SNR is-20dB (3) capture success After the capture flag to be given, and given the estimated frequency offset and code bias values.)

本程序应用了混沌序列作为伪码生成器对直接扩频系统进行了仿真，并在多用户情况下作了仿真(the application procedures as a chaotic sequence of pseudo-code generator directly to the spread spectrum system simulation, Multi-user and the circumstances made Simulation)

matlab antenna impedance sine integral cos integral elliot

说明：  有关MATLAB的一些简单程序的范例，即SIMULINGK的一些仿真信息(the MATLAB some simple examples of procedures that SIMULINGK some information Simulation)

Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in, suggesting that if that word were to appear in a query, the document could be of interest to the user. We provide evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retri