Description: 采用最大熵值法或自相关法实现AR模型，估计出AR模型的系数-Maximum entropy method or self-correlation method to achieve AR model, AR model to estimate the coefficients Platform: |
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Author:dong wei |
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Description: The leave-one-out cross-validation scheme is a method for estimating
％ the average generalization error. When calling
％ [Eloo,H] = loo(NetDef,W1,W2,PHI,Y,trparms) with trparms(1)>0, the network
％ will be retrained a maximum of trparms(1) iterations for each input-output
％ pair in the data set, starting from the initial weights (W1,W2). If
％ trparms(1)=0 an approximation to the loo-estimate based on "linear
％ unlearning" is produced. This is in general less accurate, but is much
％ faster to calculate.-The leave-one-out cross-validation scheme is a method for estimating the average generalization error. When calling [Eloo, H] = loo (NetDef, W1, W2, PHI, Y, trparms) with trparms (1)> 0, the network will be retrained a maximum of trparms (1) iterations for each input-output pair in the data set, starting from the initial weights (W1, W2). If trparms (1) = 0 an approximation to the loo-estimate based on linear unlearning is produced. This is in general less accurate, but is much faster to calculate. Platform: |
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Author:张镇 |
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Description: mRMR_0.9_compiled最小冗余和最大相关特征选取源代码，-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.
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Author:韩华 |
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Description: 产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析：
（1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形；
（2） 利用不同的参数建模方法求出两个随机信号的功率谱；
（3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较；
（4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计；
（5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理；
（6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？
（7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计；
（8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。
-Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals:
(1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics
(2) make use of different parameters modeling method for out two random signal power spectrum
(3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the
(4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate
(5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment
(6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the Platform: |
Size: 6144 |
Author:李思青 |
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Description: 小波去噪方法介绍，包括阈值法法、最大模法、相关法可直接使用。
-The Wavelet Denoising introduced threshold Law Act, the maximum modulus, correlation method can be used directly. Platform: |
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Author:面积 |
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Description: 工程上的数据一般都是具有延时Delay的特性的，在很多领域需要找到输入与输出的对应稳态的时间，采用互相关的方法可以确定出两组数据之间的最大相关性，进而确定出输入与输出的延时，经测试有效，文件中DELAY就是对应的延时，程序中已有声明。（xcorr2在matlab中代表的是自相关函数）-Data engineering are generally has the characteristics of a delay Delay, in many areas that need to find the input and output of the corresponding steady-state time, using cross-correlation method can determine the maximum correlation between the two sets of data, and to determine the delay between input and output, tested and effective, file dELAY is the corresponding delay, the program has been declared. Platform: |
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Author:刘贺朋 |
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Description: 采用自相关函数法求基音周期，将采样得到的声音信号按每20ms一帧分为若干帧，并对每帧的序列求自相关函数，取自相关函数第一个最大值点算出基音周期，并以帧为横坐标，基音周期为纵坐标画图，并去除野点，最后取图中浊音部分即面积较大部分的值作为基音周期。-Using the autocorrelation function method pitch period, the sound signal is sampled every 20ms frame is divided into a plurality of frames, and each frame sequence uates the autocorrelation function, taken the first maximum point of correlation function calculated the pitch period, and frame as the horizontal, the vertical axis pitch drawing and remove outliers, and finally take the value of the area that is part of a larger portion of the figure as voiced pitch. Platform: |
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Author:赵世铎 |
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Description: 它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。
偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。-It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a " response" matrix, predictive capabilities. Platform: |
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Author:hhhh |
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Description: 锁定放大器是利用相关技术从噪声中提取微弱信号的常用方法之一。可以证明，当信号的频率和相位已知时，使用相关检测技术能使输出信号信噪比最大。数字锁定放大器比模拟锁定放大器具有稳定、精度高等优点，并且数字滤波器的通带可以设置的非常窄，以便滤除噪声。-Lock-in amplifier is a common method using correlation techniques extracting weak signals the noise in. It can be shown when the frequency and phase of the signal is known, the use of correlation detection technology enables maximum output signal to noise ratio. Digital lock-in amplifier than analog lock-in amplifier with a stable, high precision, and a digital filter passband can be set very narrow, in order to filter out noise. Platform: |
Size: 582656 |
Author:毛巴马 |
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Description: 现代信号处理中谱估计在matlab中的使用，相关分析过程的matlab方法，代码里有很完整的注释和解释，Relief计算分类权重，包括主成分分析、因子分析、贝叶斯分析，最大似然（ML）准则和最大后验概率（MAP）准则。-Modern signal processing used in the spectral estimation in matlab, Correlation analysis process matlab method, Code, there are very complete notes and explanations Relief computing classification weight, Including principal component analysis, factor analysis, Bayesian analysis, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion. Platform: |
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Author:kukjrg |
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Description: 本程序的性能已经超过其他算法，最大似然（ML）准则和最大后验概率（MAP）准则，三相光伏逆变并网的仿真，用于特征降维，特征融合，相关分析等,仿真效率很高的，相关分析过程的matlab方法。- This program has exceeded the performance of other algorithms, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Three-phase photovoltaic inverter and network simulation, For feature reduction, feature fusion, correlation analysis, High simulation efficiency, Correlation analysis process matlab method. Platform: |
Size: 5120 |
Author:ururqc |
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Description: 相关分析过程的matlab方法，FIR 底通和带通滤波器和IIR 底通和带通滤波器，最大似然（ML）准则和最大后验概率（MAP）准则，外文资料里面的源代码，在MATLAB中求图像纹理特征。-Correlation analysis process matlab method, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Foreign materials inside the source code, In the MATLAB image texture feature. Platform: |
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Author:bgpks |
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Description: 部分实现了追踪测速迭代松弛算法，基于互功率谱的时延估计，最大似然（ML）准则和最大后验概率（MAP）准则，阐述了负荷预测的应用研究,相关分析过程的matlab方法。- Partially achieved tracking speed iterative relaxation algorithm, Based on the time delay estimation of power spectrum, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, It describes the application of load forecasting, Correlation analysis process matlab method. Platform: |
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Author:mbevheyyq |
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Description: 最优状态估计与系统辨识 出版社：西北工业大学出版社 作者：王志贤 本书系统地阐述了最优状态估计与系统辨识的基本概念、基本理论和基本方法。全书共分两篇14章：第一篇为最优状态估计，分别介绍了最优估计的基本概念、线性系统的卡尔曼滤波、最优线性平滑、卡尔曼滤波的稳定性、滤波的发散及其克服方法、非线性滤波。第二篇为系统辨识，分别介绍了系统辨识的一般概念、脉冲响应法和相关函数法、最小二乘类辨识方法、极大似然法和预报误差法、时间序列模型和随机逼近法、多输入多输出性系统辨识、闭环系统辨识。附录给出了学习本课程中用到的矩阵分析等一些数学工具。 -Optimal state estimation and system identification Publisher: Northwestern University Press Author: Wang Zhixian This book describes the basic concepts and optimal state identification system, the basic theory and method of estimation. The book consists of two 14 chapters: The first chapter is the optimal state estimation, introduced the basic concepts of optimal estimation, Kalman filter for linear systems, optimal linear smoothing, divergence stability Kalman filter, and the filter which overcomes method, nonlinear filtering. The second is identification, introduced the general concept of system identification, impulse response and correlation function method, class identification method of least squares, maximum likelihood method and prediction error method, time series models and stochastic approximation method, and more input multi-output system identification, the closed-loop system identification. The appendix gives matrix analysis used in this course and some other mathematical Platform: |
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Author:李赛 |
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Description: 详细画出了时域和频域的相关图，采用的是脉冲对消法，采用偏最小二乘法，最终的权值矩阵就是滤波器的系数，有小波分析的盲信号处理，最大似然（ML）准则和最大后验概率（MAP）准则，供做算法研究人员参考。- Correlation diagram shown in detail the time domain and frequency domain, It uses a pulse of consumer law, Partial least squares method, The final weight matrix is ??the filter coefficient, There Wavelet Analysis Blind Signal Processing, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Algorithm for researchers to do reference. Platform: |
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Author:aezcrv |
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Description: 时空上下文视觉跟踪（STC）算法的解读与代码复现
该论文提出一种简单却非常有效的视觉跟踪方法。更迷人的一点是，它速度很快，原作者实现的Matlab代码在i7的电脑上达到350fps。
该论文的关键点是对时空上下文（Spatio-Temporal Context）信息的利用。主要思想是通过贝叶斯框架对要跟踪的目标和它的局部上下文区域的时空关系进行建模，得到目标和其周围区域低级特征的统计相关性。然后综合这一时空关系和生物视觉系统上的focus of attention特性来评估新的一帧中目标出现位置的置信图，置信最大的位置就是我们得到的新的一帧的目标位置。另外，时空模型的学习和目标的检测都是通过FFT（傅里叶变换）来实现，所以学习和检测的速度都比较快。-Space-time visual tracking context (STC) algorithm for interpretation and code reuse the existing paper proposes a simple but very effective visual tracking method. More attractive is that it is fast, Matlab codes to achieve the original author reaches 350fps on i7 computer. The key point of the paper is a space-time context (Spatio-Temporal Context) access to information. The main idea is to be tracked through a Bayesian framework of goals and temporal relationship between its local context area is modeled to obtain objective and its surrounding area statistical correlation between low-level features. Then focus on the relationship between the biological and the integrated vision system to uate the spatial and temporal characteristics of attention of a new target position occurs confidence map, is the new position of maximum confidence of an objective position we get. In addition, the study and detection of target space-time model through FFT (Fourier transform) to achieve, so learni Platform: |
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Author:老王 |
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Search - Maximum Correlation Method