搜索资源列表
GaussNewton
- IIR实现自适应滤波,运用高斯-牛顿算法实现了真正的价值的数据。-IIR adaptive filters,Implements the Gauss-Newton algorithm for REAL valued data.
UnwellLineEquSet-matlab
- 病态线性方程组的计算题,涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法,都编写一个m文件,封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行,画出误差曲线图,得到运行结果。总的Matlab程序流程,如下所示: 病态方程组的计算包括:HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结
Gauss
- 高斯插值拟合用,在数据较少的情况下拟合精度慢速要求,三到四阶。-Lagrange interpolation fit to use, in the case of less data fitting precision of slow demand, three to four bands.
Gauss_Elimination
- Gauss Elimination (normal way, or using vector storage). Data in file TP2 (or TP02), which is the file to be run
data-process
- 高斯 牛顿 拟合算法 高斯 牛顿 拟合算法-gauss newton
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- 采用数据拟合法进行的高斯白噪声信道下的信噪比估计,程序中有经典summer法以及本人自己拟合的二阶和三阶参数,适用于不同的信噪比范围,望大家一起交流-By data fitting of the Gauss white noise channel SNR estimation, the program in the classic summer method as well as my own fitting of the two order and three order parameters
matlab
- 卡方检验用来检验分布的拟合性 比如正太分布对数正太分布高斯分布瑞利分布,韦伯分布等里面包含了对数据的检测以及统计的原理和方法-The chi-square test used to test the The chi-square test used to test the distribution fitting, such as too the distribution of the lognormal distribution is too Gauss points Burui Li dis
GMM
- 通过应用matlab实现高斯算法,用EM估计GMM的数据参数,并把运算时其遗漏数据补全-Matlab achieved through the application of Gauss algorithm estimates GMM data parameters EM, and the missing data when computing its complement
Gauss
- 高斯插值,本程序使用matlab开发环境实现了数值方法的高斯插值内容,方便好用,将所需插值数据加入,即可实现高斯插值-Gaussian interpolation, the program uses matlab development environment to achieve a numerical method of Gaussian interpolation content, easy to use, add the required data interpolation, Gaus
Gauss
- 利用Gauss核密度估计求窗口宽度,只需导入源数据和修改窗口宽度即可计算最优的窗口宽度,方便,简单,实用-Use Gauss kernel density estimation window width requirements, simply import the source data and modify the window width to calculate the optimal width of the window, convenient, simple, practical
matlab_gauss_test
- 高斯变换的matlab实现,能够完成一组数据的高斯变换,并输出变换后的数据-The Gauss transform of the matlab implementation, can complete the Gauss transform of a set of data, and outputs the transformed data
predict-and-match-interal-multiple
- 地震信号处理,虚同相轴方法预测层间多次波,将数据分成上下两部分,利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异,用L1范数匹配法进行匹配,其中,提供了两种方法解病态方程,分别为高斯-赛德尔方法和正则化方法。-Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the
gauss-siedl
- gauss seidel algo with 5 bus data
templates
- GAUSS variables are of two types: matrices and strings. 1. Matrices may contain numerical data or character data or both. 2. Strings are pieces of text of unlimited length. These are used to give information to the user. If you try to assign a
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- 多抽样率信号处理,仿真效率很高的,复化三点Gauss-lengend公式求pi,插值与拟合,解方程,数据分析,有较好的参考价值,基于人工神经网络的常用数字信号调制,模式识别中的bayes判别分析算法,可以广泛的应用于数据预测及数据分析。- Multirate signal processing, High simulation efficiency, Complex of three-point Gauss-lengend the Formula pi, Interpolation and fi
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- music高阶谱分析算法,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,复化三点Gauss-lengend公式求pi,验证可用,独立成分分析算法降低原始数据噪声,光纤陀螺输出误差的allan方差分析,包含优化类的几个简单示例程序。- music higher order spectral analysis algorithm, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Compl
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- 包含优化类的几个简单示例程序,信号维数的估计,基于SVPWM的三电平逆变的matlab仿真,独立成分分析算法降低原始数据噪声,复化三点Gauss-lengend公式求pi,采用了小波去噪的思想,基于人工神经网络的常用数字信号调制。-Optimization class contains several simple sample programs, Signal dimension estimates, Based on SVPWM three-level inverter matlab sim
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- 保证准确无误,是学习通信的好帮手,毕业设计有用,数值分析的EULER法,复化三点Gauss-lengend公式求pi,三相光伏逆变并网的仿真,可以实现模式识别领域的数据的分类及回归,部分实现了追踪测速迭代松弛算法,有较好的参考价值。-Ensure accurate communication is learning a good helper, Graduation useful EULER numerical analysis method, Complex of three-point Ga
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- 欢迎大家下载学习,给出接收信号眼图及系统仿真误码率,时间序列数据分析中的梅林变换工具,复化三点Gauss-lengend公式求pi,包含优化类的几个简单示例程序,包含特征值与特征向量的提取、训练样本以及最后的识别,关于小波的matlab复合分析。-Welcome to download the study, The received signal is given eye and BER simulation systems, Time series data analysis Mellin t
data and program
- 对针触式粗糙度测量仪测得的离散数据点进行高斯滤波,得到粗糙度曲线和波纹度曲线。(Gauss filtering is applied to the discrete data points measured by the pin-and-touch roughness measuring instrument to obtain the roughness curve and the waviness curve.)
