Courses
Join my paid Mini-Course on how to efficiently estimate the peak location post-FFT. In this module, we will dive into the mathematical details of various estimators, including the quadratic, MATLAB code will be provided to test out each approach. You will leave this module with a deep understanding of this problem and with an arsenal of tools to take and implement into your DSP pipeline.
Dive into the world of Frequency Modulated Continuous Wave (FMCW) radar signal processing with this hands-on course designed for engineers, researchers, and students. Through a combination of theory and practical Python and MATLAB exercises, you will gain a deep understanding of FMCW radar principles, waveform design, signal processing techniques, and performance analysis.
Join us for an enlightening Mini-Course on "Understanding the Receiver Operating Characteristic (ROC) Curve," where we will dive deep into the fascinating world of ROC curves and their critical role in evaluating the performance of binary classification models. Whether you're a data scientist, a machine learning enthusiast, a radar/lidar engineer, or curious about statistical analysis techniques, this Mini-Course is for you!
Discover the transformative power of artificial intelligence in radar technology with our comprehensive online course, "AI in Radar Signal Processing: Enhancing Detection and Classification." This 10-hour course is designed for radar engineers, researchers, and AI enthusiasts who want to stay at the forefront of this rapidly evolving field.
Unlock the power of least squares and linear regression in this comprehensive mini-course tailored for engineers, data scientists, and machine learning enthusiasts. This course covers everything from foundational theory to practical implementation, providing you with the skills to apply these essential techniques in real-world scenarios. You'll gain a deep understanding of the principles behind linear regression and the least squares method, which are fundamental to statistical modeling.
What My Students Are Saying
Course: AI in Radar Signal Processing
Note: This is a review from roughly halfway through the course.
In the course "AI in Radar Signal Processing," Dr. Regev is able to take a complicated cutting edge topic, deliver the background concepts and mathematics quickly yet thoroughly, and then delve into real applications with example code. I work professionally in the automotive radar space and I know that there are many difficult problems still to solve because it's still a new burgeoning technology. The course helped refresh some of the basics, and gave me real applicable mathematical tools to help solve some of these difficult problems using artificial neural networks and other machine learning techniques. I would highly recommend this course for those looking to add some versatile tools to their toolbox if they are working with radar or other similar technologies.
Regards,
—Lucas Wells
I have been working on radar signal processing and target tracking since the second semester of my undergraduate studies, and I am fortunate to study under one of the world's leading experts in these fields. This course provided me with a quick and effective restart in understanding radar systems, particularly in the area of mmWave radar technology.
The mathematical depth and the clear code illustrations are simply perfect, making it an essential resource for anyone looking to advance their skills. If you are an aspiring radar engineer or work in any radar-related field, this course is exactly what you need.
UNQUESTIONINGLY ATTEND THIS COURSE.
—Dayananda B N, Graduate Student, National Institute of Technology Karnataka
Dr. Regev’s AI in Radar Signal Processing course was transformative. The depth of knowledge, paired with real-world applications, helped me grasp complex concepts with ease and helped me with the current projects I’m engaged in. I highly recommend this to anyone serious about advancing their radar signal processing and AI skills.”
—Prem Kumar, Senior Technical Lead in Mercedes Benz, India
Dr. Regev's excellent course is well-structured, offering in-depth detail for anyone working in the field. The content is comprehensive, offering valuable theoretical and practical knowledge in radar signal processing. I am very excited to apply the skills I've gained from this course to more advanced radar signal processing projects. I highly recommend this course to both professionals and students interested in radar signal processing and AI.
—Michael Nelson, EE Student at Cal Poly Pomona