Freeware Listing: Spectral Analysis

The 'BandSystem' spectral analysis system is a rule-based system for the classification of mineral spectra. It consists of a preprocessor, a featureextractor, and a rule-based system to identify minerals from infra-red reflectance spectra..

  • Platform: Linux, Unix, WinOther

An Educational Toolbox on Data Communications, including Encoding Schemes, Bit-Error-Rate (BER), Noise and Spectral Analysis for Scilab.

  • Platform: WinOther

DFT plays important role in DSP and used in wide variety of applications like correlation and spectral analysis. Understanding quantization errors in its computation is an important aspect of its design either for s/w or h/w implementation. A complex DFT of N points has N complex (4N real) mutliplications. In the fixed point implementation of the DFT each mutliplication introduces a quantization error (all the errors are mutually uncorrelated and uncorrelated with input sequence as well). FFT provides an efficient way to compute DFT. Even though FFT has significantly less number of multiplications the quantization errors do not decreate accordingly.

  • Platform: Matlab, Scripts

This demo uses sound to identify the location of an object. The listening array is two microphones, which will allow us to estimate the position along the straight line between the microphones. Location estimation is based solely on the rms value of the noise measured at the two microphones. Note that the algorithm in a real acoustic tracking application will be much more complicated, relying heavily on phase information to identify source location, and spectral analysis for source characterization..

  • Platform: Matlab, Scripts

Compute the discrete Fourier transform at specified frequencies, not using fft. Why one may need this? (1) MATLAB fft function computes the amplitude of signals only (no phase). (2) Once having the recorded time-series data, one often uses fft to do the spectral analysis. However, the frequency set at which you do the fft may not contain the specified frequency of interest. For example, when we use two primary tones (f1, f2) to stimulate the ear, we are interest in comptuting the distortion product at frequency of 2f1-f2. This frequency may not be inculuded in the frequency set for the fft analysis.

  • Platform: Matlab, Scripts

There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing.

  • Platform: Matlab, Scripts

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 frequencies in the whole data sample into one 2D plot. See http://www.grc.nasa.gov/WWW/MMAP/PIMS/MEIT/MEIT_pdfs/meit2002/Section7.pdf ://http://www.grc.nasa.gov/WWW/MMAP/PI...2/Section7.pdf.

  • Platform: Matlab, Scripts

Fourier Transform is one of the basic tools to analysis a large scale of problems related to time-series analysis.
There are very few free open source software which can be use in any platform for Fourier Transform and Power Spectral analysis with simple input and output. This tool can only be used by click of mouse i.e. user need not to learn Matlab or R only for Fourier Transform. Here in this tool Fast Fourier Transform (FFT) is implemented with various window function for Power spectrum analysis. I hope this software will help us to learn, understand this basic computational method with simplicity.

  • Platform: WinOther

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 parameters and/or number of points may provide discrepancies. See how zero padding effects your results. Manufacturing companies take note! Some estimators can detect signals 50 to 100 dB from main signal. See documented example! The unwritten rule of '30 dB is okay' (i.e. hidden) is no longer true.

  • Platform: Win2000, Windows CE, Windows Server, Windows Vista, WinOther

The Empirical Mode Decomposition is a technique to decompose a given signal into a set of elemental signals called Intrinsic Mode Functions. The Empirical Mode Decomposition is the base of the so-called 'Hilbert-Huang Transform' that comprises also a Hilbert Spectral Analysis and an instantaneous frequency computation. A modified improved algorithm for the Empirical Mode Decomposition is implemented. The output is a set of AM/FM modulated signal. To use it, it is enough to input the signal, two resolutions in dB (~50) and a step value <=1 (normally =1)..

  • Platform: Matlab, Scripts

The file is written for MATLAB 6.5 it aquires data from the sound card . Fourier spectral power analysis one second of audio signal sample is analyzed by simply running the M-file. The frequency contents of the voice analyzed are shown of a plot. I have used this program to compare voice qualities of many music starssome proved realy as good as they claim others didn't. the property to look for on the plot is the number of peeks, the frequency spacing between peeks, their relative amplitude ratios. for good sopanos higher frequency contents has to large.

  • Platform: Matlab, Scripts

Accurate estimates of the autocorrelation function or the power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the given data. It is assumed that the ARMASA and the Automatic Spectral Analysis toolboxes are present..

  • Platform: Matlab, Scripts

Here is a time domain representation of modulated DSB, SSB waves. The spectral analysis is still no available.I hope to incorporate spectral part in next version..

  • Platform: Matlab, Scripts

This program operates as a signal spectrum analyzer and a distortion meter at the same time. It can accept any numerical data representing few cycles of a signal. The data do not need to be equally separated. At least ten data points per cycle are needed. Higher number of data points will of course produce better results. The main advantage of the program is its ability to automatically detect the fundamental frequency. Any part of the spectrum within the frequency band f1-f2 can be calculated and plotted. The input to the software are the time and signal voltage arrays t,v, the frequency band limits f1 and f2 and the accuracy parameter delta.

  • Platform: Matlab, Scripts

Speech Analyzer is a computer program for acoustic analysis of speech sounds.
Features
You can use Speech Analyzer to do the following tasks:

* Perform fundamental frequency, spectrographic and spectral analysis, and duration measurements.
* Add phonemic, orthographic, tone, and gloss transcriptions to phonetic transcriptions in an interlinear format.
* Perform ethnomusicological analysis of music recordings.
* Use slowed playback, repeat loops and overlays to assist with perception and mimicry of sounds for language learning.
.

  • Platform: WinOther

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 another. Plus, varying input parameters and/or number of points may provide discrepancies. Observe how zero padding effects your results. Manufacturing companies take note! Some estimators can detect signals 50 to 100 dB from main signal. See documented example! The unwritten rule of '30 dB is okay' (i.

  • Platform: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows RT, WinServer, WinOther, WinVista, WinVista x64

A 31 band spectral analyzer designed to be used in a multitrack environment. The MultiInspectorFree plugin was designed to be a 31 band spectral analyzer designed to be used in a multitrack environment. Based on the technology of FaderWorks to handle multiple dependent instances of the same plug-in, MultiInspectorFree provides an easy way for simultaneous spectral analysis of several audio signals.The first instance of MultiInspectorFree behaves like a standard 31 band spectral analyzer. Additional instances automatically send their spectral analysis result to all other instances of MultiInspectorFree.

  • Platform: Win2000, WinOther, WinVista

Along with calculating basic statistics and quality parameters such as mean and variance, the soft-ware is capable of importing and visualizing different standard time series formats, determining and removing jumps and outliers, and makes numerical and publication quality graphical outputs. Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and periodicities) form the main analysis features of the software.
GPS Interactive Time Series Analysis License - BSD License.

  • Publisher: Gitsa
  • Date:
  • Size: 707 KB
  • Platform: Linux, Mac OS X, WinOther

This collection of powerful processing and analysis tools was designed in conjunction with professional audio engineers to meet the needs of the most demanding mixing, mastering, analysis, and sound design applications. Give Master Perfection Suite a try to fully assess its capabilities!

GateEx
A professional quality gate/expander plug-in with comprehensive parameter controls, and waveform and graph displays that simplify making the right settings for each application. GateEx helps reduce unwanted low-level content by effectively reducing or removing signals below an assignable threshold.

  • Platform: Win2000, Windows 7, WinOther, WinVista

Praat x64 (also the Dutch word for "talk") is a free scientific software program for the analysis of speech in phonetics. It has been designed and continuously developed by Paul Boersma and David Weenink of the University of Amsterdam. It can run on a wide range of operating systems, including various Unix versions, Mac and Microsoft Windows (95, 98, NT4, ME, 2000, XP, Vista). The program also supports speech synthesis, including articulatory synthesis.

FEATURES:

Speech analysis:
TE spectral analysis (spectrograms)
TE pitch analysis
TE formant analysis
TE intensity analysis
TE jitter, shimmer, voice breaks
TE cochleagram
TE excitation pattern
Speech synthesis:
TE from pitch, formant, and intensity
TE articulatory synthesis
Listening...

  • Platform: Win7 x64, WinOther, WinVista x64

Spectral Analysis: Freeware | All

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