Spectral

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

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

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

SpectralClustering performs one of three spectral clustering algorithms (Unnormalized, Shi & Malik, Jordan & Weiss) on a given adjacency matrix. SimGraph creates such a matrix out of a given set of data and a given distance function.The code has been optimized to be both fast and memory...


Platforms: Matlab

Spectral Machine??a*zNz features a wide range of unique frequency-domain effects, including: .Spectral Freeze .Delay Spectral Bands .3-band Amplitude Modulation .Harmonize .Pitch Quantization


Platforms: Mac

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

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

Perform Calibrated Spectral Analysis. Use mic_calilb to calculate the calibration factor. Multiply the time records by the calibration factor and process the time records with pressure _spectra. pressure_spectra is the main program and allows the user to input the bin_size, number of averages,...


Platforms: Matlab

The spectral Subtraction Method for enhancement of noisy speech signals proposed by Boll 79. The method implements spectral averaging and residual noise reduction proposed in the paper. Note that the first 0.25 sec of the speech signal is assumed to be noise only and is used to model the noise...


Platforms: Matlab

The gradient image can be used to segment objects from a colour image making use of all the spectral information simultaneously.It calculates the direction of maximum rate of change for each pixel from the partial derivatives along each dimension using a Sobel operator.The maximum rate of change...


Platforms: Matlab

Efficient and accurate computation of free baroclinic coastal-trapped waves, using pseudospectral methods, over general depth profiles for arbitrary vertical density profiles in horizontally semi-infinite domains.The methods are described in full in the accompanying paper:E.R. Johnson, J.T....


Platforms: Matlab

This package provides implementations of several spectral (FFT,DCT)saliency algorithms for images.There are several methods (multichannel_method) to calculate themultichannel saliency:'fft': by default the same as 'fft:whitening''fft:whitening' Uses spectral whitening to calculate the saliency of...


Platforms: Matlab

The code for the spectral graph clustering concepts presented in the following papers is implemented for tutorial purpose:1. Ng, A., Jordan, M., and Weiss, Y. (2002). On spectral clustering: analysis and an algorithm. In T. Dietterich, S. Becker, and Z. Ghahramani (Eds.), Advances in Neural...


Platforms: Matlab