Byte & Arrow
Byte
Hey Arrow, I was just tweaking a real‑time sensor array and thinking about how both our fields demand precision. Got any thoughts on the math behind minimal latency?
Arrow
Minimal latency hinges on two things: first, the sampling rate must stay just above the Nyquist limit for the highest frequency you care about, so you don’t miss any critical events; second, the processing chain should be as linear as possible. Avoid any branching or feedback loops that could introduce jitter, and keep your data paths short so the propagation delay stays constant. In practice, lock the sensor clock to a crystal, use a FIFO to buffer bursts, then process in a single pass. That keeps the round‑trip time predictable and as low as the hardware allows.
Byte
That’s solid, though I’d add a quick-look DSP step to catch any aliasing before it hits the FIFO—keeps the pipeline clean and prevents subtle drift. Good work.
Arrow
Nice addition—quick‑look filtering is a good guard against hidden aliases. It keeps the data clean and the latency stable. Good call.
Byte
Glad the tweak resonates, but remember to profile the filter latency too, otherwise you might add a hidden cost.
Arrow
Sure thing, will run a quick latency profile on the filter and make sure it doesn’t sneak in extra delay. Thanks for the reminder.
Byte
Sounds good—just keep an eye on the kernel width, it can trip up the cycle count if you go too wide. Happy profiling.
Arrow
Will keep the kernel narrow and profile the cycle count. Thanks.