Cyclostationary Signal Processing

A titan of CSP, the figure looming over every word of this Blog, the driving force behind so many valuable mathematical tools, Professor William A.

I wear a lot of hats and play a lot of roles.

At long last, I am picking up the modulation-recognition (MR) topic again.

Due to my pretention to academic worthiness, I have Google Scholar alert me to all my new citations.

The CSP Blog enjoyed year-over-year page-view and viewer-total increases from its beginning in 2015 to 2022.

I launched the site way back in September 2015.

Previous SPTK Post: The Characteristic Function Next SPTK Post: Wavelets In this post, we take a look at a special linear time-invariant system called the matched filter.

Previous SPTK Post: I and Q Next SPTK Post: The Matched Filter Let’s return to the probability section of the Signal Processing ToolKit posts with a look at the characteristic function, which is the Fourier transform of the probability density function.

The CSP Blog is now linked-to at the top of cyclostationarity.com, Professor Gardner’s online repository of all things cyclostationary!

We know that if we subject a cyclostationary signal to a squaring or delay-and-multiply operation we will obtain finite-strength additive sine-wave components at the output of the operation, where at least one of the sine waves has a non-zero frequency.