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Description: Bradley A. Hanson
Date: October 28, 1998
Revised: September 27, 2000
Summary: These are notes to accompany a lecture I gave in a seminar at the University of Iowa taught by Mike Kolen. A detailed description is given of using the EM algorithm to compute maximum likelihood parameter estimates in IRT models for dichotomous items. An example of applying the procedures described is given using a generalized Guttman scale model. Brief descriptions of how to use the EM algorithm to compute Bayes modal parameter estimates and maximum likelihood parameter estimates for polytomous IRT models are given in the final section.
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Author: sherry.zxling@gmail.com |
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Description: 图像分析和识别中一个关键的内容就是图像参数的量测，本程序可实现一些参数的量测。- In the image analysis and the recognition an essential content
is the picture parameter 閲忔祴, this procedure may realize some
parameters 閲忔祴.
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Author: 李强 |
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Description: 系统辨识与参数估计源代码。可以对一个未知模型做出估计。-system identification and parameter estimation source code. Can a model to estimate the unknown.
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Author: 黄国强 |
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Description: Matlab tool for S,Z,H,Y parameter transfer-Matlab tool for S, Z, H, Y parameter transfer
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Size: 19456 |
Author: 張 |
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Description: 如何在图像中加入某一固定snr的噪声？分类:matlab与图像处理
在利用matlab做一些自己算法的抗噪分析中，常常会遇到这个问题，matlab中的加噪函数是imnoise，里面的参数是噪声的均值，方差（高斯噪声）或者是感染概率（椒盐噪声），参数不能是snr值，但是很多国外的文章的噪声分析中都是用snr值来衡量加入噪声的程度的-how the image to a fixed snr noise? Categories : Matlab and image processing using Matlab to do some of his own anti-noise algorithm analysis, will often encounter this problem, which Matlab the noise function is imnoise. inside the parameters of the noise mean and variance (Gaussian noise) or the probability of infection (Impulse Noise) Parameter values can not be snr, But many foreign article noise analysis is used to measure the value snr joined the extent of noise
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Author: 顶替 |
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Description: A method is presented for augmenting an extended
Kalman filter with an adaptive element. The resulting estimator
provides robustness to parameter uncertainty and unmodeled
dynamics.-A method is presented for augmenting an ext Kalman ended with an adaptive filter element. T he resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics .
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Author: rifer |
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Description: 基于遗传算法摩擦模型参数辨识的PID控制，matlab程序-friction model parameter identification of PID control, Matlab procedures
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Size: 2048 |
Author: 满延杰 |
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Description: 模态参数识别的文章，主要介绍了RFP方法，个人觉得有很大的参考价值，希望对大家有用。同时本人根据次文章编写了程序。希望对作此方向的学友起到帮助！-Modal parameter identification of the article, the main method of introduction of the RFP, personal feel that there is a great reference value, in the hope that useful to everyone. At the same time I prepared the article under the sub-procedures. Wish to make in this direction Xueyou help!
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Author: wfx670 |
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Description: 用不加权的递推最小二乘法进行参数估计，用于系统辩适、仿真-Using non-weighted recursive least squares parameter estimation method for systems dialectical relevance, simulation
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Author: 齐杰 |
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Description: 微带不连续性FDTD仿真，建模、S参数提取、自己导出数据画图-Microstrip discontinuities FDTD simulation, modeling, S parameter extraction, export data to draw their own
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Size: 6144 |
Author: |
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Description: 可以进行曲线回归拟合算法的四参数算法。函数为 y = (a-d)/(1+(x/c)^b) +d . ec50.m 为其主要函数-Can curve fitting algorithm of the four-parameter algorithm. Function y = (ad)/(1+ (X/c) ^ b)+ D. Ec50.m its main function
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Author: 2213 |
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Description: 简要阐述了遗传算法的基本原理，并对O0PQ0R 遗传算法工具箱（"0SP）的参数进行
了详细的介绍。探讨了O0PQ0R 遗传算法工具箱在参数优化和非线性规划中的应用，实例证明了遗
传算法在参数优化和非线性规划中的可行性。-Briefly described the basic principles of genetic algorithms and genetic algorithms O0PQ0R Toolbox ( 0SP) the parameters in detail. O0PQ0R explored the genetic algorithm toolbox in the parameter optimization and nonlinear programming applications, examples of proven genetic algorithm in parameter optimization and nonlinear programming feasibility.
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Author: dh |
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Description: 基于面部动画参数抽取的特征跟踪,做模式识别方面的比较适合-Based on the facial animation parameter extraction of feature tracking, and more suitable for pattern recognition aspects
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Author: 111 |
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Description: 何振亚的现代谱估计.本书全面系统地论述了现代谱估计技术中的各种理论与方法。全书共九章，内容包括；纯连续谱沽计的AR与ARMA模型参量法、纯离散谱与混合谱估汁的正弦组合与阻尼复指数模型参量法、非参量法谱估计的最小方差法与奇异值/特征值分解处理法、应用信息论的墒谱估汁法、多谱(高阶谱)估计、二维潜估计与多维阵列谱估计。本书取材广泛，内容新颖，理论联系实际，系统性强。
-He Zhenya Modern spectral estimation. This book comprehensively and systematically discusses the modern spectral estimation techniques in a variety of theories and methods. Book a total of nine chapters, including pure continuous spectrum of sell ARMA model with AR parameter method, pure discrete spectrum and mixed spectrum estimation of sinusoidal juice combination of complex exponential model with the damping parameter method, non-parameter method of minimum variance spectral estimation method with the singular value/eigenvalue decomposition treatment method, the application of information theory the entropy spectrum estimation juice method, multi-spectral (HOS) estimates that two-dimensional latent estimation and multi-dimensional spectral estimation array. The book based on a wide range of content of a novel theory with practice, systemic strong.
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Author: songzy41 |
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Description: ３Ｄ的ＦＤＴＤ模拟程序，需要自己输入结构参数．-3D simulation of the FDTD program, needs its own input structure parameter.
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Size: 4096 |
Author: CLQ |
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Description: runs Kalman-Bucy filter over observations matrix Z
for 1-step prediction onto matrix X (X can = Z)
with model order p
V = initial covariance of observation sequence noise
returns model parameter estimation sequence A,
sequence of predicted outcomes y_pred
and error matrix Ey (reshaped) for y and Ea for a
along with inovation prob P = P(y_t | D_t-1) = evidence
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Size: 7168 |
Author: 西晃云 |
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Description: 基于Matlab的AR模型参数估计,用实例说
明运用Matlab 进行AR( n) 参数估计的方法。-Matlab-based AR model parameter estimation, using examples of the use of Matlab to AR (n) parameter estimation method.
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Size: 138240 |
Author: ppp0001 |
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Description: 使用matalb软件，利用递推阻尼最小二乘法进行参数辨识，并改变噪声的强度，即 a*ξ(t)（0<a<1），分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ；-Use matalb software, the use of recursive damped least square method for parameter identification, and change the intensity of noise, that is a* ξ (t) (0 <a<1），分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ；
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Author: yvwei |
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Description: parameter estimation design
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Author: motea
|
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Description: TMS Parameter Controls
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Author: MohaSoo |
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