Description: 时间序列分析，分析序列是否是 白色噪声，分析相关性，可以进一步判断序列的相关和自相关-time series analysis, whether the sequence is white noise, correlation analysis, further sequence of judgment and autocorrelation Platform: |
Size: 18383872 |
Author:祝世虎 |
Hits:
Description: 1． 利用自相关函数法和周期图法实现随机信号的功率谱估计。
2． 观察数据长度、自相关序列长度、信噪比、窗函数、平均次数等对谱估计的分辨率、稳定性、主瓣宽度和旁瓣效应的影响。
-1. The use of auto-correlation function method and cycle map Method random signal power spectrum estimation. 2. Observation data length, the length of autocorrelation sequence, the signal to noise ratio, window function, the average frequency of the spectrum estimation resolution, stability, width and the main valve Sidelobe effects. Platform: |
Size: 6144 |
Author:开心 |
Hits:
Description: 自相关函数在噪声检测,识别和有用信号的提取中的应用-autocorrelation function of the noise detection, identification and extraction of the useful signal of Platform: |
Size: 1024 |
Author:研究生活 |
Hits:
Description: 产生零均值单位方差高斯白噪声的1000个样点,估计随机过程的自相关序列-units have zero mean Gaussian white noise variance to the 1,000-point, it is estimated that the random process autocorrelation sequence Platform: |
Size: 1024 |
Author:吴森泉 |
Hits:
Description: Abstract：Noise frequency modulation(FM)jamming。which belongs to blanket jamming。is already become
the main form ofnoise jamming at present。because the wideband was gained by it．Tne spectnlnl ofnoise FM
jamming is analyzed by time domain autocorrelation method in this paper．It’S jamm g peculiarity and几out—
putting signal’S jamming peculiarity ale explained．At last，these time series models ofnoise FM jalllIIling sig—
nal and几outputting signal ale built．-Abstract: Noise frequency modulation (FM) jamming. which belongs to blanket jamming. is already becomethe main form ofnoise jamming at present. because the wideband was gained by it. Tne spectnlnl ofnoise FMjamming is analyzed by time domain autocorrelation method in this paper. It S jamm g peculiarity and several out-putting signal S jamming peculiarity ale explained. At last, these time series models ofnoise FM jalllIIling sig-nal and a few outputting signal ale built. Platform: |
Size: 677888 |
Author:周丹 |
Hits:
Description: 基于matlab的自相关序列产生.用到了分数阶高斯噪声和Hurst参数.-Based on the autocorrelation matlab generated sequence. Used a fractional Gaussian noise and Hurst parameter. Platform: |
Size: 3072 |
Author:笨笨 |
Hits:
Description: This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum
constrains (number of ceros)
The function requires 3 inputs: Input signal, Order of denonominator, Order of Numerator and the output variable are: numerator coeffients, denominator coeficients and square-root of input noise power.
ARMA_LAST function requires spa_corc.m file to compute the autocorrelation matrix Platform: |
Size: 2048 |
Author:joy |
Hits:
Description: Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator.
a Compute the autocorrelation of for .
b Compute the periodogram estimate and plot it.
c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for .
d Compute and plot the average periodogram using the Bartlett method.
e Comment on the results in parts (a) through (d).
-Generate 100 samples of a zero-mean white noise sequence with variance, by using a uniform random number generator.a Compute the autocorrelation of for. B Compute the periodogram estimate and plot it. C Generate 10 different realizations of, and compute the corresponding sample autocorrelation sequences, and. Compute the average autocorrelation sequence as and the corresponding periodogram for. d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d). Platform: |
Size: 1024 |
Author:冀晗 |
Hits:
Description: the paper I uploaded was submitted in my DSP2 class. The paper discusses the results of the simulation based on the paper of Zatman on "How Narrow is Narrowband?" It investigates the second eigenvalue parameter of the received signal that determines its "narrowbandness". Zatman explains that once the second eigenvalue of the signal autocorrelation matrix rises above the noise floor, the signal BW becomes non-zero.-the paper I uploaded was submitted in my DSP2 class. The paper discusses the results of the simulation based on the paper of Zatman on "How Narrow is Narrowband?" It investigates the second eigenvalue parameter of the received signal that determines its "narrowbandness". Zatman explains that once the second eigenvalue of the signal autocorrelation matrix rises above the noise floor, the signal BW becomes non-zero. Platform: |
Size: 222208 |
Author:mocordel |
Hits:
Description: 通过建立运动模糊数学模型, 进行了消除运动模糊的仿真实验, 维纳滤波恢复运动模糊图像效果较
好。在图像恢复技术中, 点扩展函数( PSF) 是影响图像恢复结果的关键因素, 所以常常利用先验知识和后验判
断方法估计PSF函数来恢复图像。实验表明在实际恢复过程中如果运动模糊图像混入了噪声, 必须考虑到信噪
比、噪声的自相关函数和原始图像的自相关函数对恢复后图像的影响。-Through the establishment of mathematical model of motion blur was conducted simulation experiments to eliminate motion blur, Wiener filter to restore motion-blurred image effect is good. In the image restoration technology, the point spread function (PSF) that affect the results of image restoration a key factor, so often used to determine a priori knowledge and a posteriori estimation PSF function to restore the image. Experimental results show that the actual recovery process if the motion-blurred images mixed with the noise, we must take into account the signal to noise ratio, the noise autocorrelation function and the autocorrelation function of the original image of the restored image effects. Platform: |
Size: 630784 |
Author:马飞 |
Hits:
Description: 图像在获取、传愉和存储过程中, 由于受多种原因如模糊、失真、噪声等的影响, 会造成图像质的下降。维纳滤波是一
种常见的图像复原方法, 该方法的思想是使复原的图像与原图像的均方误差最小原则来复原图像。但是该法其有一定的限
制性, 本文在分析维纳滤波复原图像的基础上, 针对维纳滤波复原过程中产生的振铃效应, 提出了基于维纳滤波图像复原的
改进算法。该葬法通过分析图像的边界条件, 来用对图像边界进行处理的方法, 将图像在边界处对称化。实脸结果表明, 该
方法有效地降低了维纳滤波图像复原过程中产生的振铃现象, 且复原的图像质全较好。-Wiener filtering for image restoration can be better through the establishment of motion blur this mathematical model, simulation for image restoration, while also blur the image by adding noise to recover, that must be considered when there is noise, the image signal to noise ratio , the noise autocorrelation function for image restoration Platform: |
Size: 491520 |
Author:马飞 |
Hits:
Description: 随机信号处理的仿真，一个余弦信号加高斯白噪声，用自相关函数恢复。-Random signal processing simulation, a cosine signal plus Gaussian white noise with autocorrelation function recovery. Platform: |
Size: 1024 |
Author:qianlong |
Hits:
Description: matlab 图像处理 使用噪声能量和图像一维自相关函数进行维纳滤波-matlab image processing and image noise energy use one-dimensional autocorrelation function of Wiener filter Platform: |
Size: 293888 |
Author:zxh |
Hits:
Description: 维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除；
2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量；
-Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector Platform: |
Size: 13312 |
Author:sag |
Hits:
Description: 白噪声通过线性系统的处理，包括频域和自相关函数-White noise through a linear system of treatment, including frequency domain and the autocorrelation function Platform: |
Size: 3072 |
Author:fan |
Hits:
Description: 分析低通白噪声和带通白噪声的功率谱密度函数和自相关函数的性质，并举例同时绘制其图像。-Analysis of white noise low-pass and band-pass white noise power spectral density function and the nature of the autocorrelation function and example to draw its image at the same time. Platform: |
Size: 4096 |
Author:王肖 |
Hits:
Description: 有源噪声控制(ANC)主要基于LMS算法,但在处理宽带噪声信号和低信噪比情况下,效果不好.影响控制效果的主要原因是输入信号的自相关分布.而小波变换具有消除信号自相关的作用.因此将小波变换引入有源噪声控制(ANC)是解决问题的一种办法-Active noise control (ANC) is mainly based on the LMS algorithm, but ineffective in dealing with the situation of the broadband noise signal and low signal-to-noise ratio, the main reason affecting the control effect of autocorrelation distribution of the input signal. Wavelet transform to eliminate signalautocorrelation role Thus the wavelet transform is a problem-solving approach to the introduction of the active noise control (ANC) Platform: |
Size: 17408 |
Author:loneydear |
Hits:
Description: 基于labview的多重自相关算法测量低信噪比条件下两路正弦波的相位差-Based on the phase difference between two sine wave labview multi the autocorrelation algorithm measuring low signal-to-noise ratio conditions Platform: |
Size: 22528 |
Author:罗知亮 |
Hits:
Description: 利用x(n)=Asin(pi*n/16)+z(n),z(n)为mean=0，var=0.1高斯白噪声，x(n)的SNR为10dB,s(n)=Asin(pi*n/16-5*pi),得出了x(n)和s(n)互相关函数r(n)，以及二者的卷积和.-The utilization for the mean of x (n) = Asin (pi* n/16)+ z (n), z (n) = 0, var = 0.1 Gaussian white noise, x (n) is the SNR as 10dB, s (n) =Asin (pi* n/16-5* pi), draw the x (n) and s (n) the cross-correlation function r (n), as well as the convolution of the two. Platform: |
Size: 268288 |
Author:shujian |
Hits:
Search - autocorrelation noise