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m伪随机序列Matlab源代码,很不错,值得-m pseudo-random sequence Matlab source code, very good, we can look at
Date : Size : 4kb User : David

DL : 0
仿真不同占空比,等概、非等概双极性矩形随机信号的归一化功率谱密度,分析不同信号所包含的频谱分量,有无直流分量和定时分量信息 -Simulation different duty cycles, etc. There is, and so there was a non-random signal bipolar rectangular normalized power spectral density analysis of the spectral components of different signal contained, with or without DC component and timing component information
Date : Size : 41kb User : wanghao

利用c语言生成符合正态分布的随机数,并在matlab程序中画出曲线图,并与理论值比较-Use c language to generate normally distributed random numbers and draw graphs in matlab program
Date : Size : 350kb User : 旭凌

各种分布之下的随机数matlab生成代码,共18种分布,比较全面,研究随机数常用代码-Matlab distributed under a variety of random numbers generated code, a total of 18 kinds of distribution, a more comprehensive study used a random number code
Date : Size : 5kb User : Marshall

DL : 0
聚类算法,不是分类算法。分类算法是给一个数据,然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据,然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类,是事先给出原始数据所含的类数,然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn},这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。-Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.
Date : Size : 1kb User : 郑志鹏

By using these matlab codes one can generate any noise with mean X and variance Y . Useful for analysis of signals in noisy environment
Date : Size : 10kb User : aknigin

AKARI-I implementation on MATLAB. AKARI-I is lightweight Pseudo random number generator-AKARI-I implementation on MATLAB. AKARI-I is lightweight Pseudo random number generator
Date : Size : 1kb User : Adnan Sharif

matlab产生随机数的几种方法整理。内容较全面,包含产生几何分布,二项分布,正态分布等随机数。-Several methods for generating random numbers matlab finishing. Content more comprehensive, including produce geometric distribution, binomial distribution, normal distribution of random numbers.
Date : Size : 10kb User : 王海阳

Random Forest可以运行的代码。从csdn上面当下来的。-Random Forest Source Code
Date : Size : 341kb User : huhongda

随机森林用于 图像处理matalab 代码-Random Forest matalab code for image processing
Date : Size : 43kb User : 黎远鹏

random signals and applicatioon with Matlab
Date : Size : 9.58mb User : farid

用MATLAB编的随机数生成程序代码,希望对大家有所帮助。-Compiled using MATLAB random number generator program code, we want to help.
Date : Size : 6kb User : 张天一

一种基于马尔科夫随机场的图像分割matlab源码,包含ICM迭代条件模式求解最大后验概率算法,已通过测试。-Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.
Date : Size : 18kb User : 朱广润

微机电陀螺仪的随机误差建模方法研究,介绍了几种建模方法-Random error modeling method MEMS gyroscope, introduced several modeling methods
Date : Size : 136kb User : 张玥

在特定区域按要求产生一个随机生成的点分布-Required to generate a random point distribution is generated in a particular area
Date : Size : 4kb User : 许靖博

DL : 0
信号处理Matlab MMSE 算法。该算法仿真了随机信号通过一个二阶的AR系统,并获得其系统系数的过程。-Signal processing MMSE algorithm.This program simulated a random signal passing through a linear AR system, and aquire its coefficent.
Date : Size : 2kb User : jerryxing

MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a comprehensive introduction to the basic theory and practice of wireless channel modeling, OFDM, and MIMO, with MATLAB programs to simulate the underlying techniques on MIMO-OFDM systems. This book is primarily designed for engineers and researchers who are interested in learning various MIMO-OFDM techniques and applying them to wireless communications. It can also be used as a textbook for graduate courses or senior-level undergraduate courses on advanced digital communications. The readers are assumed to have a basic knowledge on digital communications, digital signal processing, communication theory, signals and systems, as well as probability and random processes.
Date : Size : 10.74mb User : Robin

This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruning. If you wish to use a strong implementation I recommend Scikit Learn / Python. For Matlab I do not really have a recommendation.
Date : Size : 34kb User : aman

介绍了随机信号处理,并重点阐述了卡尔曼滤波在随机信号处理中的应用,并有matlab仿真的实例。-Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercise
Date : Size : 4.68mb User : 樵飞

运用matlab模拟各种随机变量,内容包括模拟的基本思路和matlab代码-Use matlab simulate various random variables, including the basic ideas and matlab simulation code
Date : Size : 443kb User : 林松龙
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