Spectral Estimation

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).

Find best Spectral Estimation Method for a Power Spectral Density plot. A menu of 10+ spectral estimators from Steve Kay"s textbook, Modern Spectral Estimation, 1988, is available to choose from. The results differ dramatically from one estimator to another. Plus, varying input parameter...

Which estimator is best for your job? Helps Find best Spectral Estimation Method for a Power Spectral Density plot. A menu of 10+ spectral estimators from Steve Kay's textbook 'Modern Spectral Estimation' 1988 is available to choose from. The results differ dramatically from one estimator to...


Platforms: Windows, Windows 8, Windows 7, Windows Server

SpectrumSolvers will offer users the possibility to calculate a Power Spectral Density (PSD) estimate based on 1 of several Steve Kay's Estimators. SpectrumSolvers has a menu of Spectral estimators from Steve Kay's textbook, titled "Modern Spectral Estimation", 1988. The results differ...


Platforms: Windows

A set of advanced tools for spectral estimation, decomposing of time series into trend, oscillatory components and noise with sophisticated statistical tests, cross-spectrum and coherence estimation, data compression, as well as reconstruction and prediction. KSpectra Toolkit takes full advantage...


Platforms: Mac

The function calculates the averaged power spectrum with proper normalization, and even if the signal is given in volts, the value is the power value. Requirements: - MATLAB 7.7 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

This code illustrates Bartlett method for a simple signal (sum of three sinusoids). This code allows user to change to length of each pieces (sub sequence).For example in the code LS is the term which gives length of each piece. Here it is 30 and signal length is 65. So signal will be chopped...


Platforms: Matlab

Input data=sum of three sinusoidsAdditive gaussian noise used.At the end, we plot single sided PSD in decibels.


Platforms: Matlab

I have used sum of three sinusoids as my data and this program plots single sided PSD at the end. This is a very simple code made to illustrate the algorithm invloved.


Platforms: Matlab

The five methods compared here are1) periodogram2) Corellogram3) Bartlett4) Blackman Tookey5) Welch Input data = X(t)=cos(f1)+cos(f2)+cos(f3)


Platforms: Matlab

In this code , I have not used any windows. First signal is chopped into overlapped pieces and their individual PSD are leter averaged. The degree of overlap is adjustable in this code. For example, the variable OL=50 in the code means, 50% over lap. it can be changed to whatever. At the end,...


Platforms: Matlab

kSpectra Lite is a scientific application to introduce advanced time series analysis, and is a lite version of fully featured kSpectra app in App Store. kSpectra Lite provides a set of powerful tools for analysis of univariate or multivariate time series in various sciences, ranging from...


Platforms: Mac

The filter performs multiframe and singleframe motion estimation and compensation in a video stream. It allows to show macroblocks' partition, motion vectors and the accuracy of motion vectors as well. The performance of the filter can be configured setting parameters in a dialog box. The filter...


Platforms: Windows

The comb pilot aided channel estimation in ofdm modulation is considered. The power of pilot subchannels is under the control.The data experience frequency selective channel then the AWGN noise is added to make the situation worse. The bit error rate is ploted versus SNR.


Platforms: Matlab

Spectral Subtraction method proposed by berouti for enhancement of noisy speech signals.


Platforms: Matlab

This is a scaled down easy version of the state estimation module that is run in energy control centres. It has the following features:(1) option to enter the weights for your measures(2) an implementation of the weighted least square estimationfeatures missing:(1) bad data recognition


Platforms: Matlab

Calculate the dynamic stiffness using spectral element for a beam in space


Platforms: Matlab

Multiband spectral subtraction as proposed by Kamath 2002. Uses adjusts the subtraction coefficient with the frequency as well as the SNR. note that the first 0.25sec of your signal is used to model the noise.


Platforms: Matlab

This estimation method is based on well known paper.J.J. van de Beek, M. Sandell, and P.O. BdoOC?orjesson, `ML Estimation of Time and Frequency OdlT«setin OFDM Systems', IEEE Transactions on Signal Processing, vol. 45, no. 7, pp. 1800{1805,July 1997.


Platforms: Matlab

This function implements approximately median unbiased (MU) estimation of the AR(p) model following Andrews, D.W.K and H.-Y. Chen (1994), "Approximately Median-Unbiased Estimation of Autoregressive Models," Journal of Business & Economic Statistics, 12(2), 187-204.No toolboxes are required.


Platforms: Matlab