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.