Free download SpectrumSolvers


Find best Spectral Estimation Method for a Power Spectral Density plot
Free Download
User rating
10 votes
File size
3.2 MB
Release date
18 June 2015

Editor's review

A signal analysis tool that can take care of 13 different spectral patterns.

SpectrumSolvers program lets you calculate a Power Spectral Density (PSD) estimate from one of several Steve Kay`s Estimators. It is possible to try your estimation through all the available methods and then use the one that appears to be the best fit for your data. Kay`s Estimators are reputed to give you most accurate estimates. With these estimators it will now be possible to detect signals that are more than 50 dB or more down. Estimation methods available include Autocorrelation, Covariance, Prony, Akaike, Burg, Recursive Maximum Likelihood Estimation, Modified Yule-Walker Equations and others. The tool has a menu of Spectral estimators defined in Steve Kay`s textbook, titled "Modern Spectral Estimation", 1988. The results differ dramatically from one estimator to another. The estimators also vary due to changes in input parameters and the number of points considered.

The methods vary widely, it is prudent to try several estimators before one can be chosen that resembles your PSD. Plots/graphs are provided by the tool to help with arriving at an estimate. These include power spectral density plots. There are several 2D plots that can be utilized. PSD 3D plots are available. This is a 3D plot of ones spectrum as time goes on. It is achieved by calculating new PSD plots every delta_print time. If your application needs to asses signal available and their power spectral density, then this is a tool that can give you a good estimate of the same. This is a very good tool.

Publisher's description

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.e. hidden) is no longer true.
Industry problems with solutions over the past twenty plus years have been put into a textbook to show the power of Calculus (level) Problem-Solving. The textbook is on our website at . The software architect behind Calculus Compilers is Joe Thames (read about Joe on our About page).
Help improve science and engineering productivity by supporting Joe Thames' MetaCalculus University Rollout efforts, visit, in developing MC Fortran. (There has been little if any corporate funding of Joe's work for many years!) Help future science & engineers get jobs upon graduation. With MC Fortran, one increases their productivity by a factor of twenty!
Please visit our textbook at and help support Calculus level compilers at Thanks!
Version 6.10
Free Download

User comments

Rate this program