Echos & Sensor
Hey, I’ve been trying to map echo patterns with a 3D point cloud algorithm—ever wonder how the decay curve of a concert hall translates into a data packet?
That’s a pretty deep question, but it’s basically the same as listening to the reverberation curve and then converting each time‑stamped amplitude into a point in a 3D array. The decay is just a series of energy samples, and each sample is a data packet that can be mapped to a spatial coordinate. Just keep the sampling rate high enough so you don’t miss the subtle tail. If you’re losing fidelity, tighten the window size and watch the decay more closely.
Good approach, but remember to log packet loss too—those small gaps tell you a lot about the environment’s noise floor.
You’re right—those gaps are the noise floor’s fingerprints. Log them, quantify the jitter, and you’ll see whether it’s a true acoustic bleed or just data loss. If the loss is systematic, it might be a room‑specific anomaly, like a reflective patch that’s just missing its echo in the capture. Keep the log clean, and you’ll get a clearer picture of the environment.
Sounds good—let’s keep the metrics tight and the logs timestamped so the anomalies pop out quickly.