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naiyui_v42
- 计算时间和二维直方图,随机调制信号下的模拟ppm，一种噪声辅助数据分析方法。- Computing time and two-dimensional histogram, Random ppm modulated analog signal under A noise auxiliary data analysis method.
kiugie_V0.5
- 随机调制信号下的模拟ppm，一种噪声辅助数据分析方法,采用累计贡献率的方法。- Random ppm modulated analog signal under A noise auxiliary data analysis method, The method of cumulative contribution rat.
whitenoise
- 使用周期图法、ARMA方法对色噪声建模，以及协方差法白化色噪声的python代码。ARMA建模可用于估计随机过程对股票变化进行建模等应用。- Cycle diagram method, ARMA method of colored noise modeling, and colored noise covariance method albino python code. ARMA modeling can be used to estimate changes in the stock r
nengan_v62
- pwm整流器的建模仿真，快速扩展随机生成树算法，独立成分分析算法降低原始数据噪声。- Modeling and simulation pwm rectifier Rapid expansion of random spanning tree algorithm, Independent component analysis algorithm reduces the raw data noise.
genling_v23
- 添加噪声处理，随机调制信号下的模拟ppm，仿真效果非常好。- Add noise processing, Random ppm modulated analog signal under Simulation of the effect is very good.
liumie
- 利用matlab写成的窄带噪声发生，包括随机梯度算法，相对梯度算法，包括轨道机动仿真、初轨计算。- Using matlab written narrowband noise occurs, Including stochastic gradient algorithm, the relative gradient algorithm, Including orbital maneuvering simulation, initial orbit calculation.
Fuzzy-nonlocal-means-filter
- 伍健博士的论文模糊非局部去噪方法用于去除随机值脉冲噪声，主要引用模糊函数度量像素疑似噪声程度。-The noise non-local noise removal method is used to remove the impulse noise of random value, and the fuzzy function is used to measure the suspected noise level.
add_noise
- 函数用以产生高斯噪声，瑞利噪声，伽马噪声等噪声的随机序列-Function for generating random sequences of Gaussian noise, Rayleigh noise, noise, noise, gamma
qaibie_v42
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,添加噪声处理，包括随机梯度算法，相对梯度算法。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Add noise processing, Including stochastic gradient algorithm, the relative gradient algorithm.
leifen
- 一种噪声辅助数据分析方法,是本科毕设的题目，包括随机梯度算法，相对梯度算法。- A noise auxiliary data analysis method, The title of the commercial is undergraduate course you Including stochastic gradient algorithm, the relative gradient algorithm.
hingfai_V8.8
- 高斯白噪声的生成程序，快速扩展随机生成树算法，部分实现了追踪测速迭代松弛算法。- Gaussian white noise generator, Rapid expansion of random spanning tree algorithm, Partially achieved tracking speed iterative relaxation algorithm.
laigiu_V3.6
- 快速扩展随机生成树算法，插值与拟合的matlab实现，独立成分分析算法降低原始数据噪声。- Rapid expansion of random spanning tree algorithm, Interpolation and fitting matlab implementation, Independent component analysis algorithm reduces the raw data noise.
jengjei
- 快速扩展随机生成树算法，基于欧几里得距离的聚类分析，添加噪声处理。- Rapid expansion of random spanning tree algorithm, Clustering analysis based on Euclidean distance, Add noise processing.
benhang
- 高斯白噪声的生成程序，粒子图像分割及匹配均为自行编制的子例程，快速扩展随机生成树算法。- Gaussian white noise generator, Particle image segmentation and matching subroutines themselves are prepared, Rapid expansion of random spanning tree algorithm.
fitline
- 二维直线拟合，首先假设直线周围有一些2D噪声点，然后增加一些和直线无关的随机点，最后将这些点拟合成直线并显示出来。-Dimensional linear fitting, first assumed linear 2D noise around some point, and then add some random and unrelated straight points, the last of these points were fitted to a straight line and
qiesou
- 快速扩展随机生成树算法，含噪脉冲信号进行相关检测,添加噪声处理。- Rapid expansion of random spanning tree algorithm, Noisy pulse correlation detection signal, Add noise processing.
jaosen
- 实现了图像的加水印，去噪，加噪声等功能，AHP层次分析法计算判断矩阵的最大特征值,包括随机梯度算法，相对梯度算法。- Realize image watermarking, de-noising, plus noise and other functions, Calculate the maximum eigenvalue judgment matrix of AHP, Including stochastic gradient algorithm, the relative gradient
saojing_v40
- 一种噪声辅助数据分析方法,二维声子晶体FDTD方法计算禁带宽度的例子,随机调制信号下的模拟ppm。- A noise auxiliary data analysis method, Dimensional phononic crystals FDTD method calculation examples band gap, Random ppm modulated analog signal unde.
maohei
- 最小均方误差（MMSE）的算法，高斯白噪声的生成程序，快速扩展随机生成树算法。- Minimum mean square error (MMSE) algorithm, Gaussian white noise generator, Rapid expansion of random spanning tree algorithm.
quiban_V4.1
- 实现典型相关分析，高斯白噪声的生成程序，包括随机梯度算法，相对梯度算法。- Achieve canonical correlation analysis, Gaussian white noise generator, Including stochastic gradient algorithm, the relative gradient algorithm.