Spectral Estimation

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...

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...

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

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

A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method.


Platforms: Windows, Mac, BSD

Parallel Spectral Deconvolution is a multithreaded ImageJ plugin for spectral image deblurring.


Platforms: Windows, Mac, Linux

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.


Platforms: Windows, Mac, Linux

The two-step noise reduction (TSNR) technique removes the annoying reverberation effect while maintaining the benefits of the decision-directed approach. However, classic short-time noise reduction techniques, including TSNR, introduce harmonic distortion in the enhanced speech. To overcome this...


Platforms: Matlab

This script calculates the PSD of a time history. It prompts the user for parameters related to the spectral resolution and the number of statistical-degrees-of-freedom.


Platforms: Matlab

Calculates the average log-spectral distance between CLEAN and NOISY signals. It has the capability of calculating this distance for a specified sub-band as well. This measure is used for evaluation of processed speech quality in comparison to the original speech.


Platforms: Matlab

Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.The toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/log_spe...per_gaussV1.rarThe matlab files enclosed in this toolbox can be used to tabulate gain functions for log-spectral magnitude MMSE...


Platforms: Matlab

PCSA is a frequency domain analysis technique that can be used to transform PSDs (as those in a spectrogram) to the form of a two-dimensional histogram with frequency-magnitude bins. PCSA can be used to examine the spectral characteristics of a long period of data. It summarizes magnitudes and...


Platforms: Matlab

Calculates the average log-spectral distance between CLEAN and NOISY signals. Has the option of calculating this distance for speech active periods only. Also you can select a frequency range to study the distance in a sub-band.


Platforms: Matlab

FilerMaskFigure.m overlays a spectral mask on a filter's magnitude response. It will print a PASS or FAIL indication on the final plot.


Platforms: Matlab

There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and powerspectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The...


Platforms: Matlab