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用matlab画一个随机3D地图的很简单的编码。非常实用-Using matlab draw a random 3D map is very simple coding. Useful
Date : Size : 2kb User : Simonlee

DL : 0
script for computing the PAPR for a random BPSK/QPSK modulation with and without the j rotation
Date : Size : 1kb User : Jensen

DL : 0
用窗函数法hamming设计的FIR数字低通滤波器,能够实现心电信号中随机噪声的去除-Hamming window function method with the design of FIR digital low-pass filter, ECG can be achieved in the removal of random noise
Date : Size : 1kb User : li ting

产生随机噪声加人信号,并对产生的噪声进行滤波和酒信号进行FFT-Generate random noise added to the signal, and noise generated by the signal filtering and FFT wine
Date : Size : 1kb User : yuan

随机信号中的gold码matlab仿真程序-Random signals in the gold code matlab simulation program
Date : Size : 1kb User : nannyp

DL : 0
一. 随机现象的模拟 例: 超市出口有若干个收款台,两项服务:收款、装袋。顾客的到达的时间间隔是随机的; 因顾客购买的货物量不同,所以服务时间的长短也是随机的。 可以利用计算机产生服从一定的规律(概率分布)的(伪)随机数,用随机数确定时间间隔和服 务时间-1. Random phenomena simulation cases: There are a number of export supermarket cashier, the two services: collection, bagging. Customer' s arrival time interval is random due to the amount of freight customers to buy different, length of service is also random. Can make use of computer-generated subject to certain rules (probability distribution) of the (pseudo) random numbers, using a random number to determine the time interval and service time
Date : Size : 167kb User : 明远

MATLAB program for OFDM generation and reception This is a simple MCM communications system. The code is pretty self-explanatory. Here I have not used the cyclic prefix. Transmitter End: 1. Generate random serial data with M symbols (RANDSRC will do this) 2. Perform modulation (4-PSK = QPSK for now) 3. Serial to parallel 4. IFFT 5. Parallel to serial Receiver end Just opposite of transmitter end.
Date : Size : 1kb User : snapaj

Random Walker图像分割Matlab源代码,需要安装图形分析工具箱,地址http://eslab.bu.edu/software/graphanalysis/,给出了一个应用例子。-Random Walker Image Segmentation Matlab source code, need to install the graphical analysis toolbox, address http://eslab.bu.edu/software/graphanalysis/, gives an application example.
Date : Size : 32kb User : 马汪

随机抽样算法,harris角点等等等等算法-Random sampling algorithm, harris corners and so on and so on Algorithms
Date : Size : 222kb User : 夏前

DL : 0
data weight averaging, use random code to minimize DAC noise in SDADC-we can use this toolbox(include simulink and matlab files) to study how the DEM function work
Date : Size : 222kb User : Jack

DL : 0
RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim- RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim
Date : Size : 62kb User : hacen

DL : 0
RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work. -RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.
Date : Size : 302kb User : hacen

DL : 0
采用速度-位置模型,把优化问题空间转化为随机粒子空间,通过反复迭代寻找最优解,可用于基于pso移动机器人地图创建-Use of speed- location model, the optimization problem space into a random particle space, through repeated iterations to find the optimal solution can be used for mobile robot map building based on pso
Date : Size : 181kb User :

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K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids. There are two function for that the kMeanCluster and distMatrix
Date : Size : 2kb User : Luis

随机中点位移法模拟分形地形的MATLAB源代码,用于分形几何,实用!-Random midpoint displacement fractal terrain simulation of MATLAB source code for the fractal geometry, and practical!
Date : Size : 1kb User : laopu

产生一组随机的0、1二进制比特序列,分别用2ASK, 2FSK, 2PSK和2DPSK四种调制方式把它们调制到一个较高的载频上,结果给出前8个比特所对应的时域波形。-0,1 generate a set of random binary bit sequence, respectively 2ASK, 2FSK, 2PSK and 2DPSK four kinds of modulation modulation them to a higher carrier frequency, the results show the previous eight bits corresponding to the time-domain waveform.
Date : Size : 1kb User : weiwei

this a probability book important for communication engineering-this is a probability book important for communication engineering
Date : Size : 1.99mb User : amare

DL : 0
在matlab环境下仿真随机信号,括号内为内容(正弦信号、白噪声信号、正弦信号附加白噪声三种信号形式) 的代码,计算该随机信号的相关函数和功率谱-In the matlab simulation environment, random signals, the contents of brackets (sinusoidal signal, white noise signal, sine wave signal form of three additional white noise) code, the calculation of the random signal correlation function and power spectrum
Date : Size : 1kb User : learner

DL : 0
权重改进粒子群算法中的随机权重法,将标准PSO算法中设定w为服从某种随机分布的随机数,这样一定程度上可从两方面克服w的线性递减所带来的不足-Weights improved particle swarm algorithm in the random weight method, the standard PSO algorithm to set w to obey a random distribution of the random numbers, so to a certain extent can be reduced in two ways to overcome the linear w arising from lack of
Date : Size : 1kb User : 李峰

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高通滤波器,带通滤波器,数字FIR滤波器-The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication". Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet.
Date : Size : 1kb User : jeremy
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