Description: 利用周期图法对序列的功率谱进行估计。数据窗采用汉明窗。假设在白噪声中分辨这三个不同频率的正弦信号,其相位是均匀分布在2PI的独立随机变量,而 是一个单位白噪声.生成50个长度为N=512的 的样本序列集合。
-use map cycle sequencing method of the power spectrum estimation. Data window using Hamming window. Assume that the white noise to differentiate between the three different frequency sinusoidal signal, its phase is uniformly distributed in the PI two independent random variables. but a flat white noise. Generating 50 length N = 512 samples of the sequence set. Platform: |
Size: 1024 |
Author:lee |
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Description: Author: Xianju Wang
Summary: 2 Dimensional Spectral Estimation
MATLAB Release: R12
Description: Estimating the power spectrum associated with a random process is desirable in many applications.
This package includes four important 2-D spectral estimation methods.(Periodogram, Autorrelation Method, Covariance Method, Modified Covariance Method).-Author : Xianju Wang Summary : 2 Dimensional Spectral Estimation MATLAB Rele ase : R12 Description : Estimating the power spectrum associated with a random process is desirable in many applicati ons. This package includes four important 2-D's pectral estimation methods. (Periodogram. Autorrelation Method, Covariance Method. Modified Covariance Method). Platform: |
Size: 2048 |
Author:Jallon |
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Description: 关于功率谱估计的,周期图法,自相关法,bartlett法和welch法,还有一个复倒谱估计的代码-On the power spectrum estimation, periodogram, since the relevant law, bartlett law and Welch law, there is a Complex Cepstrum estimated code Platform: |
Size: 1024 |
Author: |
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Description: 用Matlab编写的功率谱估计，输入数据是100年太阳黑子活动记录，用周期图法、最大熵值估计（AR法及Burg法），画出信号功率谱进而算出太阳黑子活动周期。-Matlab prepared using power spectrum estimation, input data is 100-year record of sunspot activity, using periodogram method, the estimated value of maximum entropy (AR Law and Burg method), draw the signal power spectrum and then calculate the sunspot activity cycle. Platform: |
Size: 5120 |
Author:ldh |
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Description: 基于多窗谱法功率谱估计的谱减法语音增强程序，多窗谱功率谱估计比传统的周期图法方差效果更好，抑制音乐噪声效果更佳。
该程序对语音增强入门的研究者有参考意义。-Spectrum method based on multi-window power spectral estimate of spectral subtraction speech enhancement procedures, multi-window spectral power spectrum estimation than the traditional periodogram variance better suppress noise better music. The procedure entry on speech enhancement researchers have reference value. Platform: |
Size: 2048 |
Author:武月 |
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Description: 用Fourier变换求取信号的功率谱---周期图法
用Fourier变换求取信号的功率谱---分段周期图法
用Fourier变换求取信号的功率谱---welch方法
功率谱估计----多窗口法（multitaper method ,MTM法）
功率谱估计----最大熵法（maxmum entmpy method,MEM法）
功率谱估计----多信号分类法（multiple signal classification,music法）Fourier transform to strike a signal to the power spectrum - the cycle of plans
Fourier transform to strike a signal to the power spectrum - Sub-cycle Method
Fourier transform to strike a signal to the power spectrum --- welch method
Power spectrum estimated more than window ---- Law (multitaper method, MTM)
---- Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM)
---- More than the estimated power spectrum signal classification (multiple signal classification, music)-To strike a signal with Fourier transform power spectrum- periodogram to strike a signal with Fourier transform power spectrum- Sub-periodogram with Fourier transform power spectrum of the signal to strike-welch method of power spectrum estimation multi-window method (multitaper method, MTM method) Maximum entropy power spectrum estimation method (maxmum entmpy method, MEM law) power spectrum estimation multi-signal classification (multiple signal classification, music law) Fourier transform to strike a signal to the power spectrum- the cycle of plans Fourier transform to strike a signal to the power spectrum- Sub-cycle Method Fourier transform to strike a signal to the power spectrum- welch method Power spectrum estimated more than window Law (multitaper method, MTM) Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM ) More than the estimated power spectrum signal classification (multiple signal classification, music) Platform: |
Size: 2048 |
Author:walkinghill |
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Description: 求功率谱估计常用的几种方法，包括周期图法，Welch 法，和AR模型法。-For power spectrum estimation commonly used in several ways, including periodogram, Welch law, and the AR model. Platform: |
Size: 1024 |
Author:田晓红 |
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Description: 该文件解压后为WORD文档格式，是我自己写的基于周期图法等算法的功率谱估计文档，内有详细的matlab源代码-After unzip the file for WORD file format, I wrote it myself periodogram-based algorithms such as power spectrum estimation document, with detailed source code matlab Platform: |
Size: 105472 |
Author:刘建国 |
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Description: 经典的功率谱估计，平均周期图法实现，已经加上了详细的注释-Classical power spectrum estimation, the average periodogram implementation, has added a detailed comment Platform: |
Size: 1024 |
Author:曲路正 |
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Description: ex6_1 ～ ex6_3二项分布的随机数据的产生
ex6_4 ～ ex6_6通用函数计算概率密度函数值
ex6_7 ～ ex6_20常见分布的密度函数
ex6_21 ～ ex6_33随机变量的数字特征
ex6_34 采用periodogram函数来计算功率谱
ex6_35 利用FFT直接法计算上面噪声信号的功率谱
ex6_36 利用间接法重新计算上例中噪声信号的功率谱
ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较
ex6_38 在置信度为0.95的区间上估计有色噪声x的PSD
ex6_39 在置信度为0.95的区间上估计两个有色噪声x，y之间的CSD
ex6_40 用程序代码来实现Welch方法的功率谱估计
ex6_41 用Welch方法进行PSD估计，并比较当采用不同窗函数时的结果
ex6_42 用Yule-Walker AR法进行PSD估计
ex6_43 用Burg算法计算AR模型的参数
ex6_44 用Burg法PSD估计
ex6_45 比较协方差方法与改进的协方差方法在功率谱估计中的效果
ex6_46 用Multitaper法进行PSD估计
ex6_47 用MUSIC法进行PSD估计
ex6_48 用特征向量法进行PSD估计-ex6_1 ~ ex6_3 binomial distribution of the generated random data
ex6_4 ~ ex6_6 generic function value of the probability density function
ex6_7 ~ ex6_20 common distribution density function
ex6_21 ~ ex6_33 figure characteristics of random variables
periodogram function ex6_34 used to calculate the power spectrum
ex6_35 direct method using FFT signal above the noise of the power spectrum
ex6_36 recalculated using the indirect method on the example of the power spectrum of noise signal
tfe function ex6_37 used for system identification, and results were compared with the ideal
ex6_38 at 0.95 confidence interval for the estimated colored noise x on the PSD
ex6_39 at 0.95 confidence interval of the two colored noise on the estimated x, y between the CSD
ex6_40 code used to achieve the Welch method of power spectrum estimation
Welch method ex6_41 with PSD estimates, and compare different window function when the results when
ex6_42 using Yule-Walker AR method is esti Platform: |
Size: 7168 |
Author:张满超 |
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Description: MATLAB经典周期图法功率谱估计对信号进行功率谱估计。-MATLAB classical periodogram power spectrum estimate of the signal power spectrum estimation. Platform: |
Size: 3072 |
Author:帽子 |
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Description: 利用周期图法对序列进行功率谱估计，数据窗采用汉明窗-Sequences using periodogram method for power spectrum estimation, the data window with Hamming window Platform: |
Size: 33792 |
Author:Colorwaste |
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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: 功率谱估计
经典的功率谱估计是将数据工作区外的未知数据假设为零，相当于数据加窗。经典功率谱估计方法分为：相关函数法、周期图法以及改进的周期图估计法即平均周期法和平滑周期图法；
1相关函数法
2周期图法
3平均周期图法和平滑平均周期图法-Power spectrum estimation is the classical power spectrum estimation of work zone data assumed to be zero outside the known data, the equivalent of data windowing. Classical power spectrum estimation method is divided into: correlation function, periodogram and periodogram estimation improved with an average cycle method and the smooth periodogram a correlation function 2 periodogram 3 Average periodogram and periodogram smoothing average Law Platform: |
Size: 72704 |
Author:陈云飞 |
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Description: 随机信号 功率谱估计 对随机信号的功率谱采用自相关函数法和周期图法进行估计-Random signal power spectrum estimation using the autocorrelation function method and the periodogram method to estimate the power spectrum of random signals Platform: |
Size: 593920 |
Author:王伟 |
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Description: 功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。
-Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum. Platform: |
Size: 3072 |
Author:裴忠林 |
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Description: 基于matlab的功率谱估计实验，对比分析了功率谱估计的相关法、周期图法和welch法-Matlab based power spectrum estimation experiments, comparative analysis of power spectral estimation of the correlation method, periodogram and Welch method Platform: |
Size: 30720 |
Author:庄俊勇 |
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Search - power spectrum estimation periodogram