50,000 Page Views in 2020

And counting …

Last evening the CSP Blog crossed the 50,000 page-view threshold for 2020, a yearly total that has not been achieved previously!

I want to thank each reader, each commenter, and each person that’s clicked the Donate button. You’ve made the CSP Blog the success it is, and I am so grateful for the time you spend here.

On these occasions I put some of the more interesting CSP-Blog statistics below the fold. If you have been wanting to see a post on a particular CSP or Signal Processing ToolKit topic, and it just hasn’t appeared, feel free to leave me a note in the Comments section.

2020 continued the trend of year-over-year increase in page views:

2019’s total was just shy of 50,000 at 49,917.

November 2020 broke the 5000-views barrier for the first time:

Earlier this year, my most-popular post (no, it isn’t about machine learning, thankfully, it is about The Spectral Correlation Function) broke the 10,000-views barrier, and the second-most-popular post is not far behind:

Author: Chad Spooner

I'm a signal processing researcher specializing in cyclostationary signal processing (CSP) for communication signals. I hope to use this blog to help others with their cyclo-projects and to learn more about how CSP is being used and extended worldwide.

6 thoughts on “50,000 Page Views in 2020”

  1. I’m looking forward to your next modulation recognizing(MR) poll.

    I read your publication [25],[26], and [28]. I want to see more details on the calibration process that estimate the power |A|^2. Is this process done by regression with scaling parameter A?

    Based on my understanding, the cyclostationarity-base MR method relies on the cyclic-cumulant. Is the cyclic-cumulant computed at the specific time delay for example [0,0,…,0] fo squared-root raised cosine?

    BTW, I tried high-order cyclic cumulant on GPU, really computational heavy even for two variable [t1,t2,0,0,…,0] due to heavy recursion for order greater than 6.

    1. For estimating A, or A^2, in the context of cyclic-cumulant MR, consider a least-squares estimate using the estimated set of cyclic cumulants and an ideal set corresponding to a signal with unit power.

      The delay-reduced classifier I talk about in [26] typically can work with just a single delay vector, the origin. But it will depend on the signals of interest in the classification problem.

  2. Hey Chad,

    Congratulations on an excellent blog. I just tripped over it a few weeks ago.

    If you remember me I’d be amazed. I was a 2nd Lt in the Air Force when we met. We attended DARPA’s Integrated Sensing and Processing meeting, I think in Tampa, way back circa 2003-ish. Anyway, great to know you’ve been successful. Best wishes!

    1. John:

      Thanks for stopping by and leaving a comment! I do remember that meeting, and I remember the Air Force technical contact (your boss at the time?). He was a nice guy. That meeting, though, was a low point in my career. Professor Cochran.

      1. I still remember a couple names from AFRL/SNRR (Alan Kerrick, Tony White or Joe Tenbarge, maybe), but I couldn’t tell you who my boss was anymore. 🙂 I’m aging I guess. I do remember the DARPA guy being kind of a jerk. The other thing I remember is you having a USB memory stick. It was the first time I had seen one, and I thought it was really cool.

        Funny how brains work (or don’t) sometimes.

        Keep up the great work.
        John

        1. It was Alan Kerrick–I combed through some old computer files to refresh my memory and found his name in some of my notes.

          Weird how now we can barely use USB thumbdrives due to all the security problems!

          Please feel free to comment any time, or ask questions via email.

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