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[Mathimatics-Numerical algorithms] soanoise DL : 0: 计算SOA中噪声性能的程序-calculation procedures noise performance
Date : 2008-10-13 Size : 4.33kb User : 黄学田
[Mathimatics-Numerical algorithms] burg DL : 0: 用Burg算法估计AR模型参数，进而实现功率谱估计. 形参说明： x——双精度实型一维数组，长度为n，存放随机序列。 n--整型变量,随机序列的长度。 p--整型变量,AR模型的阶数。 a--双精度实型一维数组，长度为(p十1)。存放AR模型的系数a(0),a(1),...,a(p)。 v--双精度实型指针,它指向预测误差功率，即AR模型激励白噪声的方差。 -with Burg algorithm estimates AR model parameters, thereby realizing the power spectrum estimation. - Participation : x -- double-precision real one-dimensional arrays, length n, storage random sequence. N -- integer variables, random sequence length. P -- integer variables, AR model of order. A -- double-precision real one-dimensional arrays, length (p 10). AR storage coefficient of a model (0), a (1 ),..., a (p). V -- double precision real-pointer, it forecast errors at power, AR model that inspired the white noise variance.
Date : 2008-10-13 Size : 22.44kb User : lkz
[Mathimatics-Numerical algorithms] psd DL : 0: 计算ARMA(p，q)模型的功率谱密度。形参说明： b——双精度实型一维数组，长度为(q+1),存放ARMA(p，q)模型的滑动平均系数。 a——双精度实型一维数组，长度为(p+1),存放ARMA(p,q)模型的自回归系数。 q——整型变量,ARMA(p,q)模型的滑动平均阶数。 p——整型变量,ARMA(p,q)模型的自回归阶数。 sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差。 fs——双精度实型变量,采样频率(Hz)。 x——双精度实型一维数组,长度为len。当sign＝0时，存放功率谱密度；当sign＝ 1时，存放用分贝表示的功率谱密度。 freq——双精度实型一维数组，长度为len。存放功率谱密度所对应的频率。 len——整型变量，功率谱密度的数据点数。 sign——整型变量,当sign＝0时，计算功率谱密度；当sign＝1时，计算用分贝表示的功率谱密度。 -calculated ARMA (p, q) model of the power spectral density. - Participation : b -- double-precision real one-dimensional arrays, length (q 1), storage ARMA (p, q) model of the average coefficient of sliding. A -- double-precision real one-dimensional arrays, length (p 1), storage ARMA (p, q) model of regression coefficients. Q -- integer variables, ARMA (p, q) moving average model of order. P -- integer variables, ARMA (p, q) model of order since the reunification. Sigma2 -- double precision real-type variables, ARMA (p, q) model white noise variance. Fs -- double precision real-type variables, sampling frequency (Hz). X -- double-precision real one-dimensional array, the length of len. When the sign = 0, storage power spectral density; When the sign = 1:00, storage decibel levels, said th
Date : 2008-10-13 Size : 23.59kb User : lkz
[Mathimatics-Numerical algorithms] Molgedey and Schouster DL : 0: The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated . The number of independent components are calculated using Bayes Information Criterion (BIC), with PCA for dimension reduction.-The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated . The number of independent components are calculated using Bayes Information Criterion (BIC), with PCA for dimension reduction.
Date : 2008-10-13 Size : 11.88kb User : 海心
[Mathimatics-Numerical algorithms] quzao DL : 0: 一个关于小波的程序,用语去噪声的,大家可以多交流-a wavelet of the procedures, terms to the noise, we can exchange more
Date : 2008-10-13 Size : 966byte User : 林大
[Mathimatics-Numerical algorithms] DBSCAN2 DL : 0: DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the "noise" of the spatial database found clusters of arbitrary shape.
Date : 2008-10-13 Size : 1.85kb User : 郑可可
[Mathimatics-Numerical algorithms] soanoise DL : 0: 计算SOA中噪声性能的程序-calculation procedures noise performance
Date : 2025-12-29 Size : 4kb User : 黄学田
[Mathimatics-Numerical algorithms] burg DL : 0: 用Burg算法估计AR模型参数，进而实现功率谱估计. 形参说明： x——双精度实型一维数组，长度为n，存放随机序列。 n--整型变量,随机序列的长度。 p--整型变量,AR模型的阶数。 a--双精度实型一维数组，长度为(p十1)。存放AR模型的系数a(0),a(1),...,a(p)。 v--双精度实型指针,它指向预测误差功率，即AR模型激励白噪声的方差。 -with Burg algorithm estimates AR model parameters, thereby realizing the power spectrum estimation.- Participation : x-- double-precision real one-dimensional arrays, length n, storage random sequence. N-- integer variables, random sequence length. P-- integer variables, AR model of order. A-- double-precision real one-dimensional arrays, length (p 10). AR storage coefficient of a model (0), a (1 ),..., a (p). V-- double precision real-pointer, it forecast errors at power, AR model that inspired the white noise variance.
Date : 2025-12-29 Size : 22kb User : lkz
[Mathimatics-Numerical algorithms] psd DL : 0: 计算ARMA(p，q)模型的功率谱密度。形参说明： b——双精度实型一维数组，长度为(q+1),存放ARMA(p，q)模型的滑动平均系数。 a——双精度实型一维数组，长度为(p+1),存放ARMA(p,q)模型的自回归系数。 q——整型变量,ARMA(p,q)模型的滑动平均阶数。 p——整型变量,ARMA(p,q)模型的自回归阶数。 sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差。 fs——双精度实型变量,采样频率(Hz)。 x——双精度实型一维数组,长度为len。当sign＝0时，存放功率谱密度；当sign＝ 1时，存放用分贝表示的功率谱密度。 freq——双精度实型一维数组，长度为len。存放功率谱密度所对应的频率。 len——整型变量，功率谱密度的数据点数。 sign——整型变量,当sign＝0时，计算功率谱密度；当sign＝1时，计算用分贝表示的功率谱密度。 -calculated ARMA (p, q) model of the power spectral density.- Participation : b-- double-precision real one-dimensional arrays, length (q 1), storage ARMA (p, q) model of the average coefficient of sliding. A-- double-precision real one-dimensional arrays, length (p 1), storage ARMA (p, q) model of regression coefficients. Q-- integer variables, ARMA (p, q) moving average model of order. P-- integer variables, ARMA (p, q) model of order since the reunification. Sigma2-- double precision real-type variables, ARMA (p, q) model white noise variance. Fs-- double precision real-type variables, sampling frequency (Hz). X-- double-precision real one-dimensional array, the length of len. When the sign = 0, storage power spectral density; When the sign = 1:00, storage decibel levels, said th
Date : 2025-12-29 Size : 23kb User : lkz
[Mathimatics-Numerical algorithms] Molgedey and Schouster DL : 0: The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated . The number of independent components are calculated using Bayes Information Criterion (BIC), with PCA for dimension reduction.-The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated . The number of independent components are calculated using Bayes Information Criterion (BIC), with PCA for dimension reduction.
Date : 2025-12-29 Size : 12kb User : 海心
[Mathimatics-Numerical algorithms] quzao DL : 0: 一个关于小波的程序,用语去噪声的,大家可以多交流-a wavelet of the procedures, terms to the noise, we can exchange more
Date : 2025-12-29 Size : 1kb User : 林大
[Mathimatics-Numerical algorithms] Bilateral_Filtering DL : 0: Bilateral filter to enhance the image. This programme will remove the noise of the image.
Date : 2025-12-29 Size : 118kb User : Emdad Hossain
[Mathimatics-Numerical algorithms] c-Gauss.noise DL : 0: 产生高斯白噪声的源码，对数值模拟计算很有帮助的-Generated Gaussian white noise source, the numerical simulation of helpful
Date : 2025-12-29 Size : 3kb User : wanglu
[Mathimatics-Numerical algorithms] Bayesian_ICAmf_algorithm_for_the_linear_instantan DL : 0: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise.-This is a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise.
Date : 2025-12-29 Size : 566kb User : Vladimir
[Mathimatics-Numerical algorithms] ICA DL : 0: 独立成分分析算法降低原始数据噪声，并提取特征值，非常有用得数据去噪程序。-Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.
Date : 2025-12-29 Size : 51kb User : 陶帅
[Mathimatics-Numerical algorithms] gauss DL : 0: 应用比较广泛的高斯函数，产生高斯噪声的简单C++语言-Used widely in the Gaussian function, Gaussian noise generated C++ language simple
Date : 2025-12-29 Size : 100kb User : 李浩
[Mathimatics-Numerical algorithms] 34369334-Adaptive-Noise-Cancellation DL : 0: adaptivefilter 34369334-Adaptive-Noise-Cancellation
Date : 2025-12-29 Size : 415kb User : ilgisiz
[Mathimatics-Numerical algorithms] NOISE DL : 0: CODE TO Generate whit an vielet noise
Date : 2025-12-29 Size : 4kb User : RABIE
[Mathimatics-Numerical algorithms] hyperspectral-noise-estimation-master DL : 0: 对高光谱的噪声进行估计，并具有良好效果。(Hyperspectral noise is estimated)
Date : 2025-12-29 Size : 9.04mb User : wyr501
[Mathimatics-Numerical algorithms] markveillette-stbl-7da7f5b DL : 0: PDF for impulsive noise
Date : 2025-12-29 Size : 27kb User : heyem

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