Description: 本程序是功率谱密度的仿真比较,关于三个信号源的具体情况参见《现代数字信号处理导论》上册，P202，习题5。
实验方法：周期图法、自相关法和协方差法。
-this procedure is the power spectral density of the simulation, 3 signal source on the specific circumstances, see the "modern digital signal processing" Introduction to the first volume, P202, Exercise 5. Experimental Methods : Chart cycle, since the correlation and covariance method. Platform: |
Size: 6854 |
Author:lidong |
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Description: 本程序是功率谱密度的仿真比较,关于三个信号源的具体情况参见《现代数字信号处理导论》上册，P202，习题5。
实验方法：周期图法、自相关法和协方差法。
-this procedure is the power spectral density of the simulation, 3 signal source on the specific circumstances, see the "modern digital signal processing" Introduction to the first volume, P202, Exercise 5. Experimental Methods : Chart cycle, since the correlation and covariance method. Platform: |
Size: 6144 |
Author:lidong |
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Description: 介绍了现代功率谱估计中的B哩算法最大嫡谱估计的基本原理，并采用VC+十语言对
功率谱密度(鹅D)进行了仿真。同时比较了BI雌算法和经典谱估计中Bardett周期图法，针对Burg算法中的
模型阶次的选择进行了分析，提出了最佳模型阶次采用最终预报误差(I下E)为准则的结论。
-Introduction of modern power spectrum estimation algorithm B mile maximum entropy spectral estimation principle, and using VC+ 10 languages of the power spectral density (geese D) simulation. BI also compared female algorithm and the classical spectrum estimation Bardett periodogram, Burg algorithm for model order selection for the analysis, the optimal model order using the final prediction error (I, under E) as the criterion of the conclusions . Platform: |
Size: 106496 |
Author:等待 |
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Description: 周期图法计算在白噪声环境下的正弦信号功率谱密度-Periodogram method under the white noise power spectral density of the sinusoidal signal Platform: |
Size: 3072 |
Author:许飞 |
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Description: 平均周期图法和平滑平均周期图法估计功率谱
从经典功率谱估计周期图法原理入手，从理论上分析了其存在的局限性，借助Welch算法对其进行修正。依靠Matlab强大的数值分析和信号处理能力进行实验!!
用周期图法和welch法分别估计了一下信号的功率谱密度。采样频率200Hz，时间序列长度2048，FFT数据点数2048。其中welch法使用hanning窗，窗口长度600．-Average periodogram and periodogram smoothing method to estimate the average power spectrum from the classical power spectrum estimation periodogram principle starting from the theoretical analysis of the limitations of its existence, with the Welch algorithm, amending them. Rely on the powerful Matlab numerical analysis and signal processing capabilities to experiment!! With periodogram and welch method were estimated signal power spectral density about. Sampling frequency of 200Hz, the time sequence length 2048, FFT data points 2048. Welch method which uses hanning window, the window length of 600. Platform: |
Size: 1024 |
Author:renjie |
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Description: 周期图法谱估计需要对信号序列“截断”或加窗处理，其结果是使估计功率谱密度为信号序列真实谱和窗谱的卷积，导致误差的产生。本程序分别设计了周期图法,最大熵功率谱估计和Welch法以及它们的对比,最大熵功率谱估计目的是最大限度地保留截断后丢失的“窗口”以外信号的信息，使估计谱的熵最大。-Periodogram spectrum estimation signal sequence needs to " cut off" or add the window handle, the result is an estimated power spectral density of the signal sequence of the real spectrum and spectral convolution window, resulting in the generation of errors. The procedures were designed periodogram, maximum entropy power spectrum estimation and the Welch method and their comparison, the maximum entropy power spectrum estimation purpose is to maximize the retention of truncated after the loss of the " window" than the information signal, the entropy of the estimated spectrum maximum. Platform: |
Size: 1024 |
Author: |
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Description: Welch法功率谱密度估计
改进的平均周期图法来求取随机信号功率谱密度估计的Welch法。-Welch method of power spectral density estimates to improve the average periodogram to strike a random signal power spectral density estimation method of Welch. Platform: |
Size: 239616 |
Author:anye |
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Description: function Px=overlay(N,omega,A,sigma,num)
OVERLAY Forms multiple power spectral density estimates.
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USAGE Px=overlay(N,omega,A,sigma,num)
Calculates the periodogram using an ensemble of realizations
of a process consisting of a sum of complex exponential in
white noise.
N : length of the signal
omega : vector containing the sinusoid frequencies
A : vector containing the sinusoid frequencies
sigma : the variance of the white noise
num : size of the ensemble (number of periodograms)-function Px=overlay(N,omega,A,sigma,num)
OVERLAY Forms multiple power spectral density estimates.
-------
USAGE Px=overlay(N,omega,A,sigma,num)
Calculates the periodogram using an ensemble of realizations
of a process consisting of a sum of complex exponential in
white noise.
N : length of the signal
omega : vector containing the sinusoid frequencies
A : vector containing the sinusoid frequencies
sigma : the variance of the white noise
num : size of the ensemble (number of periodograms) Platform: |
Size: 1024 |
Author:Rosario |
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Description: 基于matlab环境下的自相关函数的周期图功率谱密度-Based on the power spectral density of the autocorrelation function of the periodogram in Matlab environment Platform: |
Size: 1024 |
Author:luzhen |
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Search - Periodogram of the Power Spectral Density