Rants Epistemic Bubbles: Comments on “Modulation Recognition Using Signal Enhancement and Multi-Stage Attention Mechanism” by Lin, Zeng, and Gong. by Chad Spooner August 28, 2022 What is the Minimum Effort Required to Find ‘Related Work?’: Comments on Some Spectrum-Sensing Literature by N. West [R176] and T. Yucek [R178] by Chad Spooner June 20, 2022 Elegy for a Dying Field: Comments on “Detection of Direct Sequence Spread Spectrum Signals Based on Deep Learning,” by F. Wei et al by Chad Spooner May 23, 2022 Some Concrete Results on Generalization in Modulation Recognition using Machine Learning by Chad Spooner May 18, 2022 The Domain Expertise Trap by Chad Spooner April 21, 2022 The Signal-Processing Equivalent of Resume-Padding? Comments on “A Robust Modulation Classification Method Using Convolutional Neural Networks” by S. Zhou et al. by Chad Spooner September 20, 2021 Are Probability Density Functions “Engineered” or “Hand-Crafted” Features? by Chad Spooner November 25, 2020 All BPSK Signals by Chad Spooner April 29, 2020 Professor Jang Again Tortures CSP Mathematics Until it Breaks by Chad Spooner April 13, 2020 On Impulsive Noise, CSP, and Correntropy by Chad Spooner August 22, 2019 Machine Learning and Modulation Recognition: Comments on “Convolutional Radio Modulation Recognition Networks” by T. O’Shea, J. Corgan, and T. Clancy by Chad Spooner January 31, 2017 Comments on “Blind Cyclostationary Spectrum Sensing in Cognitive Radios” by W. M. Jang by Chad Spooner December 3, 2016 Comments on “Cyclostationary Correntropy: Definition and Application” by Fontes et al by Chad Spooner November 8, 2016 Textbook Signals by Chad Spooner January 19, 2016
Epistemic Bubbles: Comments on “Modulation Recognition Using Signal Enhancement and Multi-Stage Attention Mechanism” by Lin, Zeng, and Gong. by Chad Spooner August 28, 2022
What is the Minimum Effort Required to Find ‘Related Work?’: Comments on Some Spectrum-Sensing Literature by N. West [R176] and T. Yucek [R178] by Chad Spooner June 20, 2022
Elegy for a Dying Field: Comments on “Detection of Direct Sequence Spread Spectrum Signals Based on Deep Learning,” by F. Wei et al by Chad Spooner May 23, 2022
Some Concrete Results on Generalization in Modulation Recognition using Machine Learning by Chad Spooner May 18, 2022
The Signal-Processing Equivalent of Resume-Padding? Comments on “A Robust Modulation Classification Method Using Convolutional Neural Networks” by S. Zhou et al. by Chad Spooner September 20, 2021
Are Probability Density Functions “Engineered” or “Hand-Crafted” Features? by Chad Spooner November 25, 2020
Machine Learning and Modulation Recognition: Comments on “Convolutional Radio Modulation Recognition Networks” by T. O’Shea, J. Corgan, and T. Clancy by Chad Spooner January 31, 2017
Comments on “Blind Cyclostationary Spectrum Sensing in Cognitive Radios” by W. M. Jang by Chad Spooner December 3, 2016
Comments on “Cyclostationary Correntropy: Definition and Application” by Fontes et al by Chad Spooner November 8, 2016
