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. Some estimator results differ dramatically.
Pros: This program is for estimating best spectral estimation for a power spectral density plot. There are 10 odd methods of estimation to choose from. The algorithms are based on a well known text book Steve Kay`s textbook `Modern Spectral Estimation` 1988. The results can differ dramatically from one estimator to another. One needs to be knowledgeable about choosing appropriate input parameters levels and number of points to be used for estimation.
The interface opens with setting about data type(real or complex), method( such as autocorrelation), number of points and details about data file. Parameters about the grid to be used also can be set up. The other tabs on the interface are output and plot. The output tab shows the data outputted and the plot is created from the output data.
Cons: This one is for specialists, those who must engineer communication related equipment and take design decisions based of power spectral density of input/output signals. Since the results from various estimators given vary quite a bit one has to be aware of the implications of each estimator to take a correct decision. No thumb rule like “30 dB is Ok” will do. The estimators can sometimes discriminate levels that are 100 dB different. The plot presentation could be more refined. Lot of annotation and gridlines clash and the overall visual impact is not great. It is difficult to judge the effectiveness or accuracy of the calculations in such applications. One must verify the accuracy angle prior to using with actual data. A demo calculation is provided.
Overall: This is a sophisticated tool. The interface has been made easy, but obviously for specialist users. This is certainly 3 stars at least.