About This Site
Welcome to Signal Insights — a knowledge hub dedicated to making digital signal processing (DSP), wireless communications, and machine learning for signals accessible, intuitive, and mathematically rigorous.
I created this site because I believe that deep technical understanding should not be locked behind paywalls, dense textbooks, or fragmented documentation. Whether you're a high-school student curious about how your phone works, an engineering student struggling with Fourier transforms, or a researcher exploring neural networks for RF signal classification — this site is for you.
My Teaching Philosophy
Every concept here follows a three-part structure:
Intuition: A plain-English explanation with visual analogies
Math: Step-by-step derivations with no skipped steps
Code: Clean, minimal, and executable Python/C examples
This approach bridges the gap between theory and practice — so you don't just memorize formulas, but truly understand how they work in real systems like 5G, Wi-Fi, or audio processing.
Who Am I?
I'm a wireless systems engineer with experience in LTE/5G physical layer development, signal processing algorithm design, and machine learning for RF applications. Over the years, I've seen brilliant students and professionals get stuck on concepts that could have been clarified with better visuals, cleaner code, or more honest explanations.
This site is my attempt to fix that — one derivation, one diagram, and one code snippet at a time.
What You'll Find Here
✅ DSP Fundamentals: Fourier transforms, sampling, filtering, with geometric intuition
✅ Wireless Deep Dives: OFDM, MIMO, channel coding, LTE/5G PHY layer
✅ ML for Signals: CNNs for 1D data, spectrogram-based classification, anomaly detection
✅ Learning Paths: Structured journeys from beginner to advanced
✅ Open Code: All examples are original, well-commented, and free to use
— The creator of Signal Insights
contact@signalinsights.com