Description: 一个非常好的时间序列工具箱，详细使用说明见P. M. T. Broersen, Automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216.
-a very good time series toolbox, detailed description of the use of P. T. M. Broersen. Automatic Spectral Analysis with Time Series M odels. IEEE Transactions on Instrumentation and Meas urement, Vol. 51, No. 2, April 2002, pp. 211-216. Platform: |
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Author:rex |
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Description: CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001
Matlab toolbox for max. aposteriori estimation of two chain
Coupled Hidden Markov Models.
-CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori es timation of two chain Coupled Hidden Markov Mod els. Platform: |
Size: 823296 |
Author:Joyce |
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Description: 高阶谱分析工具箱，有常见的参数模型高阶谱估计，DOA估计和时延估计-High-order spectral analysis toolbox, there are common high-order-parameter model spectral estimation, DOA estimation and time delay estimation Platform: |
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Author:黄丽娜 |
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Description: Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
较早版本的kalman滤波matlab源码，适合研读。-Kalman filter toolbox written by Kevin Murphy, 1998.See http://www.ai.mit.edu/ ~ murphyk/Software/kalman.html for details.Installation 1. Install KPMtools from http://www.ai.mit. edu/~ murphyk/Software/KPMtools.html3. Assuming you installed all these files in your matlab directory, In Matlab typeaddpath matlab/KPMtoolsaddpath matlab/KalmanDemos-See tracking_demo.m for a demo of 2D tracking.See learning_demo.m for a demo of parameter estimation using EM. an earlier version of kalman filtering matlab source, suitable for reading. Platform: |
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Author:wuming |
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Description: Kalman filter toolbox written by Kevin Murphy,See learning_demo.m for a demo of parameter estimation using EM.-Kalman filter toolbox written by Kevin Murphy, See learning_demo.m for a demo of parameter estimation using EM. Platform: |
Size: 13312 |
Author:孤陋寡闻 |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
Size: 4271104 |
Author:查日东 |
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Description: Our toolbox currently contains implementations of robust methods for
location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-
LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), princi-
pal component regression (RPCR), partial least squares (RSIMPLS) and classi¯ cation
(RDA). Only a few of these methods will be highlighted in this paper. The toolbox
also provides many graphical tools to detect and classify the outliers. The use of these
features will be explained and demonstrated through the analysis of some real data
sets. Platform: |
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Author:王一 |
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Description: How to use the HMM toolbox
HMMs with discrete outputs
Maximum likelihood parameter estimation using EM (Baum Welch)
Platform: |
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Author:q |
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Description:
在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等-The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for spectral estimation, polyspectral estimation, and computation of time-frequency
distributions, with applications such as time delay estimation, harmonic retrieval, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction. Other potential applications include acoustics, biomedicine, econometrics, exploration seismology, nondestructive testing, oceanography, plasma physics, radar, sonar, speech etc. Platform: |
Size: 2881536 |
Author:chenpan |
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Description: The Spacecraft Control Toolbox is composed of MATLAB m-fi les and mat-fi les, organized into a set of modules by subject. It is essentially a library of functions for analyzing spacecraft and missions. There is a substantial set of
software which the Spacecraft Control Toolbox shares with the Aircraft Control Toolbox, and this software is in a module called Common. The core spacecraft fi les are in SC and SCPro along with special plotting tools in Plotting.
The new CubeSat module demonstrates mission planning and simulation for nanosatellites. These fi ve modules are referred to together as the Core toolbox. Functions for estimation, orbit analysis, subsystem analysis, and detailed
attitude control system examples are grouped in separate modules. All of the modules are described in the following table, including the add-on modules which are purchased separately. Platform: |
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Author:Huy |
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Description: 对信号进行时间延迟估计所用的工具箱，方便对算法的使用。-Time delay estimation of signals used by the toolkit to facilitate the use of the algorithm. Platform: |
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Author:xiaoke |
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Description: MATLAB GARCH工具箱，是学习MATLAB工具箱的首选工具书。-The GARCH Toolbox, combined with MATLAB and the Optimization and
Statistics Toolboxes, provides an integrated computing environment for
modeling the volatility of univariate economic time series. The GARCH
Toolbox uses a general ARMAX conditional mean model combined with a
conditional variance model of GARCH, GJR, or EGARCH form to perform
simulation, forecasting, and parameter estimation of univariate time series in
the presence of conditional heteroscedasticity. Supporting functions perform
tasks such as pre- and postestimation diagnostic testing, hypothesis testing of
residuals, model order selection, and time-series transformations. Graphics
capabilities let you plot correlation functions and visually compare matched
innovations, volatility, and return series. Platform: |
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Author:hfhf911 |
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Description: EKF/UKF is an optimal filtering toolbox for Matlab. Optimal filtering is a frequently used term for a process, in which the state of a dynamic system is estimated through noisy and indirect measurements. This toolbox mainly consists of Kalman filters and smoothers, which are the most common methods used in stochastic state-space estimation. The purpose of the toolbox is not to provide highly optimized software package, but instead to provide a simple framework for building proof-of-concept implementations of optimal filters and smoothers to be used in practical applications.
Most of the code has been written by Simo S?rkk? in the Laboratory of Computational Engineering at Helsinki University of Technology (HUT). Later Jouni Hartikainen checked, cleaned, commented and extended it a bit. He also wrote a documentation with examples for it. Platform: |
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Author:maths123@mail.ustc.edu.cn |
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Description: 这是一本用于学习最优估计里面的卡尔曼滤波和其他非线性滤波方法的很好的手册。-This is a very good manual for the optimal estimation of EKF/UKF,etc. Platform: |
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Author:nieyongfang |
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Search - estimation toolbox