Description: 本资料为《MATLAB通信仿真及应用实例详解 》书本上的仿真
本书着重介绍了MATLAB在通信仿真，尤其是移动通信仿真中的应用，通过丰富具体的实例来加深读者对通信系统仿真的理解和掌握。全书共分10章，前3章介绍MATLAB通信仿真的基础，包括Simulink和S-函数；第4~8章分别介绍了信源和信宿、信道传输、信源编码、信道编码、信号交织以及信号调制的仿真模块及其仿真实现过程；第9章介绍了在通信系统的仿真和调试过程中经常遇到的问题及其解决办法；最后，第10章以cdma2000为例介绍了移动通信系统的设计和仿真。本书适用于通信行业的大专院校学生和研究人员，既可以作为初学者的入门教材，也可以用作中高级读者和研究人员的速查手册。
-this information as "MATLAB simulation and communication application example explanation" book on the simulation focused on the book - stay in communication MATLAB simulation, especially for the mobile communications simulation applications, through the rich and specific examples to deepen readers of the communications system simulation to understand and grasp. The book is divided into 10 chapters, the first three chapters on MATLAB simulation based communications, including Simulink S-Function; 4 ~ 8 respectively on the source and destination node, Channel Tunnel, source coding, channel coding, signal modulation signal intertwined and simulation module and Simulation process; Chapter 9 of the communications system simulation and debugging process frequently encountered problems Platform: |
Size: 18090 |
Author:birkhoff |
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Description: Example of using RTW toolbox to generate a S-Function/ C/C++ source code for a masked block in simulink Platform: |
Size: 7496 |
Author:nofree |
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Description: 自适应(Adaptive)神经网络源程序
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)
3) Radial Basis Functions (RBF) Networks
4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN)
5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm
A simulink example regarding the approximation of a scalar nonlinear function of 4 variables -Adaptive (Adaptive) The neural network source adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms .~..~ There are 11 blocks that implement basically these five kinds of neural networks : a) Adaptive Linear Network (ADALINE) 2) 102206 with Multilayer Layer Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks, 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Dynamic Networks with the Cell Structure (DCS) algorithm A Simulink example regarding the approximation of a scalar nonlinear function of four variables Platform: |
Size: 200704 |
Author:周志连 |
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Description: 本资料为《MATLAB通信仿真及应用实例详解 》书本上的仿真
本书着重介绍了MATLAB在通信仿真，尤其是移动通信仿真中的应用，通过丰富具体的实例来加深读者对通信系统仿真的理解和掌握。全书共分10章，前3章介绍MATLAB通信仿真的基础，包括Simulink和S-函数；第4~8章分别介绍了信源和信宿、信道传输、信源编码、信道编码、信号交织以及信号调制的仿真模块及其仿真实现过程；第9章介绍了在通信系统的仿真和调试过程中经常遇到的问题及其解决办法；最后，第10章以cdma2000为例介绍了移动通信系统的设计和仿真。本书适用于通信行业的大专院校学生和研究人员，既可以作为初学者的入门教材，也可以用作中高级读者和研究人员的速查手册。
-this information as "MATLAB simulation and communication application example explanation" book on the simulation focused on the book- stay in communication MATLAB simulation, especially for the mobile communications simulation applications, through the rich and specific examples to deepen readers of the communications system simulation to understand and grasp. The book is divided into 10 chapters, the first three chapters on MATLAB simulation based communications, including Simulink S-Function; 4 ~ 8 respectively on the source and destination node, Channel Tunnel, source coding, channel coding, signal modulation signal intertwined and simulation module and Simulation process; Chapter 9 of the communications system simulation and debugging process frequently encountered problems Platform: |
Size: 17408 |
Author: |
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Description: simulink s函数，用C写的CRC校验和解校验的程序，原理简单，但是可以用来做学习simulink的好例子。-simulink s function, using C to write the CRC checksum checksum reconciliation procedures, the principle of simple, but can be used to make a good example of learning simulink. Platform: |
Size: 4096 |
Author:xingang |
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Description: simulink中s函数的设计实例，方便学习使用s函数-s function in simulink design example, to facilitate learning to use s function Platform: |
Size: 214016 |
Author:许明 |
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Description: S 函数使用及应用举例，对涉及到simulink里s函数的应用有详细的解释-The use and application of S function, for example, relating to the simulink function in the application of s has a detailed explanation Platform: |
Size: 27648 |
Author:tom |
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Description: 里面有8PSK，GMSK的matlab源程序，贡献出来了-I was interested in the theory for 8PSK and came across this m-file written in 1999. It
requires 2 function calls (graymapPSK and grayunmapPSK) which I have
included and must be uncommented(single comments only) and loaded into your workspace.
Remove the function calls from this m-file after you load into your
workspace.
It seems to work well and give valid results for BPSK and QPSK but I have a question
about the setup for 8PSK and the solution for Pseint where Pse=Pseint.
Also, the Gray coding seems different than what I m used to.
Some of you more theoretical minded may have some insight into the theory
behind how Pseint was determined and comment. I don t have the
communications toolbox-blockset and was wondering how it compared with Matlab s
example simulation of 8PSK with Gray coding (in Simulink?)
Each run takes about a minute and the loop iterations are shown in the
command window.
A numerical example of a satellite link is shown using uncoded QPSK Platform: |
Size: 3072 |
Author:杨阳 |
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Description: An example C-file S-function for accessing simulink signals
* without using the standard block inputs. In this case, a floating
* bar-plot style scope is implemented. The signals that are selected
* on the diagram (via the mouse) are displayed by the scope. The
* companion file <matlabroot>\toolbox\simulink\blocks\barplotm.m
* receives the signal data and plots it. See the demo model,
* <matlabroot>\toolbox\simulink\simdemos\sfcndemo_barplot.mdl.-An example C-file S-function for accessing simulink signals
* without using the standard block inputs. In this case, a floating
* bar-plot style scope is implemented. The signals that are selected
* on the diagram (via the mouse) are displayed by the scope. The
* companion file <matlabroot>\toolbox\simulink\blocks\barplotm.m
* receives the signal data and plots it. See the demo model,
* <matlabroot>\toolbox\simulink\simdemos\sfcndemo_barplot.mdl. Platform: |
Size: 5120 |
Author:fair |
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Description: Example C-file S-function for defining a continuous system.
*
* x = Ax + Bu
* y = Cx + Du
*
* For more details about S-functions, see simulink/src/sfuntmpl_do-Example C-file S-function for defining a continuous system.
*
* x = Ax + Bu
* y = Cx + Du
*
* For more details about S-functions, see simulink/src/sfuntmpl_doc.c. Platform: |
Size: 2048 |
Author:fair |
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Description: 用M文件S函数编写的变步长的连续时间变量的仿真-This example S-function illustrates how to create a variable step block in Simulink. Platform: |
Size: 1024 |
Author:孙长梅 |
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Description: 本课件主要讲述MMatlab Simulink中S函数(Function)的写法,其中包含非常实用的S-函数介绍（为什么要引入S-Function？)、S-函数的分类、使用（实例演习）等-The courseware in the main about MMatlab Simulink S function (Function) is written, which contains the S-function is very useful Introduction (why the introduction of S-Function?), S-function category, the use of (example exercises), etc. Platform: |
Size: 91136 |
Author:zmeng |
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Description: 本书由基础知识和应用两大部分组成，基础知识详细介绍了MATLAB基础准备与入门、MATLAB的基本使用方法、数组和数组运算、字符串单元数组和结构、数值计算功能、符号运算、数据和函数的可视化、MATLAB程序设计、图形用户界面设计、Simulink仿真基础；在应用方面，介绍了MATLAB在信号与系统、数字信号处理和通信原理中的应用等内容。本书在介绍方式上使用了大量图片、例子，具有较好的操作指导作用，通过实例帮助读者加深理解。-Benshu basic knowledge and applied by the two major components, introduces the basics of preparation and entry based on MATLAB, MATLAB s basic use, arrays and array operations, array of string units and structures, numerical calculations, symbolic computation, data, and visual function, MATLAB programming, graphical user interface design, Simulink based simulation In the application, describes a MATLAB in signal and systems, digital signal processing and communication theory in the application of content. This book describes the way in the use of a large number of pictures, examples, and has good operating guide, an example to help readers better understanding. Platform: |
Size: 3078144 |
Author:刘鑫吉 |
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Description: matlab simulink 快速入门和应用实例，S函数的构造例子-the constructor example of of the the matlab simulink Quick Start and application examples, S function Platform: |
Size: 1794048 |
Author:yangsun |
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Description: S 函数使用及应用举例，对涉及到simulink里s函数的应用有详细的解释-For example, using the S function and application of Simulink in the s function involves the application of a detailed explanation Platform: |
Size: 27648 |
Author:程璐 |
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Description: 卡尔曼滤波原理及应用—MATLAB仿真主要介绍数字信号处理中的卡尔曼（Kalman）滤波算法及在相关领域应用。全书共7章。第1章为绪论。第2章介绍MATLAB算法仿真的编程基础。第3章介绍线性Kalman滤波。第4章讨论扩展Kalman滤波，并介绍其在目标跟踪和制导领域的应用和算法仿真。第5章介绍UKF滤波算法，同时也给出其应用领域内的算法仿真实例。第6章介绍了交互多模型Kalman滤波算法。第7章介绍Simulink环境下，如何通过模块库和S函数构建Kalman滤波器，并给出了系统是线性和非线性两种情况的滤波器设计方法(Principle and Application of Kalman Filter - MATLAB simulation mainly introduces Kalman filtering algorithm in digital signal processing and its application in related fields. The book consists of 7 chapters. The first chapter is the introduction. The second chapter introduces the programming foundation of MATLAB algorithm simulation. The third chapter introduces linear Kalman filtering. Chapter 4 discusses the extended Kalman filter, and introduces its application and algorithm simulation in the field of target tracking and guidance. The fifth chapter introduces the UKF filtering algorithm, and gives an example of algorithm simulation in its application area. The sixth chapter introduces the interacting multiple model Kalman filtering algorithm. Chapter 7 introduces how to construct Kalman filter by module library and S-function in Simulink environment, and gives the design method of Kalman filter for both linear and nonlinear systems.) Platform: |
Size: 13403136 |
Author:jianjian健健 |
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