Search - matlab ne

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[Other resource] truetime-1.3 DL : 1: 一个很棒的网络控制系统仿真软件，truetime工具箱包括TrueTime Computer与Truetime Network 两个接口模块。计算机模块具有灵活的实时内核，A/D和D/A转换器，网络接口和外部通道。计算机模块按照用户定义的任务执行，代码采用Matlab或C++编写。-a terrific network control system simulation software, truetime Toolbox including Computer and TrueTime Truetime Ne allow two interface modules. The computer module with flexible real-time kernel, A / D and D / A converters, network interface and external access. The computer module based on user-defined mandate, code using Matlab or C preparation.
Update : 2008-10-13 Size : 954.9kb Publisher : 张茸擎
[Graph Recognize] scan_matching DL : 0: This a set of simple implementations for aligning scans of range-bearing laser data. They are written as demonstrations of basic algorithm implementations and are not designed for real-world (ie, efficient) application. The source code consists of MatLab scripts, mex-files and C++ code. to objects). This demo also provides a nice example of using \"placement new\" and explicit destruction. -This a set of simple implementations for aligning scans of range-bearing laser data. Th are written as a journalist in demonstrations of basic algor ithm implementations and are not designed for r Leveraging-world (ie, efficient) application. The source code consi sts of MatLab scripts, Mex-files and C code. to objects). This demo als o provides a nice example of using the "placement ne w "and explicit destruction.
Update : 2008-10-13 Size : 2.54mb Publisher : sunxiaodian
[Bio-Recognize] icalab DL : 0: The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB strongly depends on a priori knowledge, common sense and appropriate use of the preprocessing and postprocessing tools. In other words, it is preprocessing of data and postprocessing of models where expertise is truly ne-Instruction : The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB strongly depends on a priori knowledge, common sense and appropriate use of the preprocessing and postprocessing tools. In other words, it is preprocessing of data and postprocessing of models where expertise is truly needed.
Update : 2025-02-19 Size : 11.71mb Publisher : 孙占全
[matlab] truetime-1.3 DL : 0: 一个很棒的网络控制系统仿真软件，truetime工具箱包括TrueTime Computer与Truetime Network 两个接口模块。计算机模块具有灵活的实时内核，A/D和D/A转换器，网络接口和外部通道。计算机模块按照用户定义的任务执行，代码采用Matlab或C++编写。-a terrific network control system simulation software, truetime Toolbox including Computer and TrueTime Truetime Ne allow two interface modules. The computer module with flexible real-time kernel, A/D and D/A converters, network interface and external access. The computer module based on user-defined mandate, code using Matlab or C preparation.
Update : 2025-02-19 Size : 955kb Publisher : 张茸擎
[Graph Recognize] scan_matching DL : 0: This a set of simple implementations for aligning scans of range-bearing laser data. They are written as demonstrations of basic algorithm implementations and are not designed for real-world (ie, efficient) application. The source code consists of MatLab scripts, mex-files and C++ code. to objects). This demo also provides a nice example of using "placement new" and explicit destruction. -This a set of simple implementations for aligning scans of range-bearing laser data. Th are written as a journalist in demonstrations of basic algor ithm implementations and are not designed for r Leveraging-world (ie, efficient) application. The source code consi sts of MatLab scripts, Mex-files and C code. to objects). This demo als o provides a nice example of using the "placement ne w "and explicit destruction.
Update : 2025-02-19 Size : 2.54mb Publisher : sunxiaodian
[matlab] SGNNexperiments DL : 1: 用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)-prepared using Matlab based on the self-generating neural network (self-generated ne ural network) forecasting methods (including data sets)
Update : 2025-02-19 Size : 28kb Publisher : 邱大山
[AI-NN-PR] newp DL : 0: 利用感知器算法实现逻辑或和逻辑与功能,实现成功-Perceptron algorithm using the logical or and logical and functions, to achieve successful
Update : 2025-02-19 Size : 113kb Publisher : 王新
[matlab] 16psk_16qam DL : 0: psk ve qam nedir ne iş e y-psk ve qam nedir ne iş e yarar
Update : 2025-02-19 Size : 393kb Publisher : denizinci
[RFID] centroid_matlab DL : 0: 针对无线传感器网络自身节点定位的matlab仿真代码-Wireless sensor network node for its localization matlab simulation code
Update : 2025-02-19 Size : 2kb Publisher : 陈明
[matlab] ImageCompression_ANN DL : 0: Image Compression using Artificial Neural Networks This code is developed in MATLAB 6.5 and can used in Windows platform. Program contain all necessary files. For training the network use Train.m and Codec.m compress images by trained network.
Update : 2025-02-19 Size : 176kb Publisher : Aso
[matlab] k_means DL : 0: k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant K "prototypes", ou "centroï des" dans les régions de l espace les plus peuplées. Chaque observation est alors affectée au prototype le plus proche (règle dite "de la Distance Minimale"). Chaque classe contient donc les observations qui sont plus proches d un certain prototype que de tout autre prototype -k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant K "prototypes", ou "centroï des" dans les régions de l espace les plus peuplées. Chaque observation est alors affectée au prototype le plus proche (règle dite "de la Distance Minimale"). Chaque classe contient donc les observations qui sont plus proches d un certain prototype que de tout autre prototype
Update : 2025-02-19 Size : 1kb Publisher : faiza
[matlab] DV-Hop DL : 0: 无线传感器网络DV-Hop节点定位算法，基于Matlab的源程序。-Wireless sensor network node, DV-Hop localization algorithm, based on the Matlab source code.
Update : 2025-02-19 Size : 2kb Publisher : gongyuevic
[matlab] videofig DL : 0: A figure ready to scroll through and play videos. You can also draw any custom graphics on it.-VIDEOFIG(NUM_FRAMES, @REDRAW_FUNC) creates a figure with a horizontal scrollbar and shortcuts to scroll automatically. The scroll range is 1 to NUM_FRAMES. The function REDRAW_FUNC(F) is called to redraw at scroll position F (for example, REDRAW_FUNC can show the frame F of a video). This can be used not only to play and analyze standard videos, but it also lets you place any custom Matlab plots and graphics on top. Jiro posted a great example on the Pick of the Week blog, along with a nice GIF animation so you can see it in motion: http://blogs.mathworks.com/pick/2010/12/10/video-player-for-your-frame-based-processing/ EXAMPLE 1 Place this in a file called "redraw.m": function redraw(frame) imshow([ AT3_1m4_ num2str(frame, 02.0f ) .tif ]) end Then from a script or the command line, call: videofig(10, @redraw) redraw(1) The images "AT3_1m4_01.tif" ... "AT3_1m4_10.tif" are part of the Image Processing Toolbox and there s no ne
Update : 2025-02-19 Size : 4kb Publisher : DT丿灬雪狼
[matlab] Accuracy-valuation-for-Matlab DL : 0: 包括基于MATLAB7.0 的NE（拉稀系数） RMSE MSE R2 等评价指标的计算编程程序-Including computing programming procedures of the NE, (diarrhea coefficient), RMSE, MSE and R2 .etc.based the MATLAB7.0
Update : 2025-02-19 Size : 1kb Publisher : xiaoxingmei
[Other] 183176476-Study-Simulation-of-Vehicular-Ad-Hoc-Ne DL : 0: simulink vanet in matlab
Update : 2025-02-19 Size : 337kb Publisher : mahdi
[matlab] NE DL : 0: matlab神经网络例程自己写的代码 BP　ＲＢＦ-neural network matlab routines write their own code BP RBF
Update : 2025-02-19 Size : 94kb Publisher : chang
[Other] SIMPLE-Routing-Protocol-for-Wireless-Body-Area-Ne DL : 0: matlab code of SIMPLE Routing Protocol for Wireless Body Area Networks
Update : 2025-02-19 Size : 5kb Publisher : khalil
[matlab] matlab-emd DL : 0: 经验模态分解（Empirical Mode Decomposition,EMD）法是黄锷（N. E. Huang）在美国国家宇航局与其他人于1998年创造性地提出的一种新型自适应信号时频处理方法，特别适用于非线性非平稳信号的分析处理。文件中为经验模态分解的matlab函数源码，以及实例程序-Empirical mode decomposition (Empirical Mode Decomposition, EMD) method is the yellow E (NE Huang) frequency processing method when a new adaptive signal NASA and others creatively put forward in 1998, especially for non-linear analysis of non-stationary signals. File for the empirical mode decomposition matlab function source code, and example programs
Update : 2025-02-19 Size : 101kb Publisher : longwei
[Other] MATLAB DL : 0: une fonction qui fait la correlation entre deux vecteur, les vecteur ne doit pas forcement de la meme la tallie
Update : 2025-02-19 Size : 1kb Publisher : xtratore
[Other] 通信原理实验_Matlab仿真基础 DL : 0: 为了更好地设计通信系统，我们需要对无线环境下收端信号的统计特性进行研究。考虑以下场景：环境中有很多障碍物，发射端至接收端没有视距可达路径。假设收发端距离很远（500m以上），障碍物数量很大（N>50），并在空间中随机分布。同时假设各路反射信号到达接收端的强度相同（能量E=1），信号载波频率为1GHz，请进行仿真，探索以下问题：（1）接收到的正弦波的相位服从什么分布？（2）计算接收信号的幅度的均值和方差，并绘制其概率密度函数图。（3）学习“Rayleigh分布”相关内容，并绘制参数为√NE的Rayleigh分布概率密度函数，计算其期望和方差的理论值。这些理论结果与仿真得到是否一致？（4）固定障碍物的位置，让接收机分别以速度1m/s和10m/s的速度运动，绘制接收信号的包络随时间变化的曲线。并观察和对比两条曲线，能否有什么发现？(In order to better design the communication system, we need to study the statistical characteristics of the received signal in the wireless environment. Consider the following scenario: There are many obstacles in the environment, and there is no line-of-sight path from the transmitter to the receiver.)
Update : 2025-02-19 Size : 1.16mb Publisher : Der_steppenwolf

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