Description: IIR数字滤波器的课件.此课件比较详细的说明了IIR滤波器的设计方法,从实际滤波器的基本概念到算法的推导和计算机辅助方法设计.-IIR Digital Filter Software. This courseware more detailed explanation of the IIR filter design, from the filter algorithm to the basic concepts of derivation and computer-aided design. Platform: |
Size: 832512 |
Author:jtn |
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Description: The purpose of this paper is to provide a practical introduction to the discrete Kalman
filter. This introduction includes a description and some discussion of the basic
discrete Kalman filter, a derivation, description and some discussion of the extended
Kalman filter, and a relatively simple (tangible) example with real numbers &
results.-The purpose of this paper is to provide a pra ctical introduction to the discrete Kalman fil ter. This introduction includes a description and some discussion of the basic discrete Kalma n filter, a derivation. description and some discussion of the extende d Kalman filter. and a relatively simple (tangible) example wit h real numbers Platform: |
Size: 221184 |
Author:上将 |
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Description: 介绍了时域有限差分(FDTD)法的基本原理,推导了二维TM模Yee算法的FDFD表达式,并结合算例阐述了基于MATLAB编程的基本方法-on the finite-difference time-domain (FDTD) method to the basic principles Derivation of 2D TM mode Yee's theorem expression, and explained with examples based on MATLAB programming methods Platform: |
Size: 312320 |
Author:maggie |
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Description: n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.-n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. Platform: |
Size: 13312 |
Author:徐剑 |
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Description: On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
-On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
Platform: |
Size: 16384 |
Author:徐剑 |
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Description: In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
-In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
Platform: |
Size: 129024 |
Author:晨间 |
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Description: This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.-This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. Platform: |
Size: 220160 |
Author:晨间 |
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Description: The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
-The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
Platform: |
Size: 58368 |
Author:晨间 |
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Description: 针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其Cramer-Rao下限
进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对
目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制
定实际的跟踪策略或算法具有一定的参考价值
-For double-base matrix provided biased information azimuth measurement of double-base bearings-only target array may be a necessary condition for observability and Cramer-Rao lower limit of the theoretical derivation. On this basis, a new auxiliary variable method of double-base bearings-only tracking array to improve performance and can be observed under the condition of targets Monte Carlo simulation. The experimental results show that the new auxiliary variable method can greatly improve the accuracy of parameter estimation and the formulation of the above-mentioned theory tracking the actual strategy or algorithm has certain reference value Platform: |
Size: 54272 |
Author:顾东 |
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Description: 该文件为rake接收机的一个完整发送，接受过程，并附有原理推导过程-The document for the rake receiver to send a complete and accept the process, together with the principle of derivation Platform: |
Size: 215040 |
Author:xiaofeng |
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Description: 给出直方图均衡化的数学推导、步骤，并用程序实现。-Histogram equalization is given a mathematical derivation, the steps and procedures to achieve. Platform: |
Size: 124928 |
Author:罗瑞 |
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Description: 最近在学习matlab，看了些相关资料Matlab7[1].1基础视频教程2-02函数求导 ，可共享-Recent study matlab, read some relevant information Matlab7 [1] .1 basis of video tutorials 2-02 derivation function can be shared Platform: |
Size: 2198528 |
Author:赵寒 |
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Description: 《数值分析及其MATLAB实现》这本书以理论推导为基础，通过利用Matlab的底层库函数实现各个数值计算方法，而不是简单的调用高层函数，因此实现的算法过程很详细并具有很高的灵活性，便于自行学习和调整，实现了理论与实践的相统一。同时配有大量例题，并有Matlab数值计算、符号计算的基本使用方法。
-" " Numerical Analysis and MATLAB implementation, " " This book is based on a theoretical derivation, through the use of Matlab library function of the underlying implementation of various numerical methods, rather than a simple high-level function calls, so the process of implementation of the algorithm in detail and have a very high flexibility, easy to learn and adjust on its own, achieve a unity of theory and practice. Example配有大量simultaneously, and have Matlab numerical calculation, the basic use of symbolic computation methods. Platform: |
Size: 11004928 |
Author:吴 |
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Description: 使用matlab仿真OFDM。其中描述了OFDM的基本原理，含详细的公式推导过程。在文章最后附有matlab代码，并且有仿真结果可参考。-Matlab simulation using OFDM. Describes one of the basic principles of OFDM, with a detailed formula derivation process. At the last article with matlab code, and have the simulation results can be found. Platform: |
Size: 379904 |
Author:张力伟 |
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Description: 本文实现二级倒立摆数学模型的推导，状态空间描述以及状态反馈和状态观测器的实现！比较有无状态观测器对系统运动的影响！-This paper presents two mathematical models of the derivation of the inverted pendulum, the state-space representation, as well as state feedback and state observer to achieve! Comparison of availability of state observer on the system impact of the movement! Platform: |
Size: 285696 |
Author:刘文珍 |
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Description: GPS 动态卡尔曼滤波 ，详细介绍了GPS动态定位中卡尔曼滤波的应用以及整个公式推导过程-GPS dynamic Kalman filter, described in detail the dynamic positioning GPS Kalman filter applications, and the formula derivation Platform: |
Size: 528384 |
Author:杨帆 |
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Description: 《先进PID控制MATLAB仿真》系统地介绍了PID控制的几种设计方法，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的最新成果。书中的每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。("Advanced PID control MATLAB simulation" systematically introduced the PID control of several design methods, the author over the years engaged in control system teaching and research work of the crystallization, at the same time into the domestic and foreign counterparts in recent years achieved the latest results. Each of the methods in the book gives algorithm derivation, case analysis and corresponding MATLAB simulation design procedures.) Platform: |
Size: 6468608 |
Author:wawaxiaohai
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Description: 对于已经给出的横坐标及对应的函数值，进行三次样条插值。边界条件为二阶导数为0。
需要的追赶法程序也在内。另外还有高斯消去法和gauss-jordan法求逆矩阵的程序(Two of the programes are aming to solving the problem of cubic interpolation with the boundary condition of the zero second-order derivation. The programe of the chasing method is also included.) Platform: |
Size: 1024 |
Author:juanlalalala |
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