#signal-processing
8 episodes
#2625: White Noise vs Pink vs Brown: What Actually Works
What makes mechanical sound machines like the Dohm different from digital ones — and which noise color actually helps you sleep?
#2563: How Audio Fingerprinting Actually Works
Spectrogram peaks, constellation maps, and hash matching — the elegant mechanics behind identifying any song in seconds.
#1876: Signal Bars Are a Lie: How to Read Your Real Connection
Those signal bars are a lie. Learn the real numbers—RSRP, RSRQ, SINR—that tell you if your connection is actually good.
#794: AI’s Secret Language: The Return of the Modem Screech
Why are AI agents talking in modem screeches? Explore the high-speed world of acoustic data and the future of "silent" secret messaging.
#731: Mastering Multi-Room Audio: Avoiding the EQ Lasagna
Stop layering filters on top of filters. Learn the technically correct way to sync your home audio without creating a muddy "EQ lasagna."
#682: The Secret Power of Your Smartphone’s Tiny Microphones
Why does a phone mic outperform a pro headset for AI transcription? Herman and Corn dive into the physics of MEMS and the truth about audio quality.
#647: From Bits to Beats: The Science of Digital-to-Analog
Why does digital data need to become analog? Explore the physics of sound and the critical role of the DAC in modern audio engineering.
#58: Clean Audio, Messy Reality: Noise Removal for Voice-to-Text
Fussy baby, clean audio? We dive into noise removal for voice-to-text. Discover why cleaner audio can transcribe worse.