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5. Information Theory (The Deep Root) · Concept 3 of 6

Channel Capacity Theorem

It is the hard speed limit on how much information you can reliably push through any link, like a cable, radio, or stream, before errors creep in.

Channel Capacity: C = B x log2(1 + S/N) The link (a pipe of width B) Bandwidth B (Hz) Bits flowing safely (rate < C) Signal vs Noise sets S/N SIGNAL S NOISE N Capacity climbs with log of SNR C (bits/s) SNR (dB) +3 dB SNR approx +1 bit/s/Hz hard limit C Push rate ABOVE C → dropouts & glitches, not more sound ! !

Wide clean pipe = high capacity C; bits flow safely below C, but cram past it and the link drops out.

What it is

The hard, provable speed limit on how much data any link can carry error-free, set by its bandwidth and how clean the signal is versus the noise.

Key facts

How it works

  1. Measure the bandwidth B (hertz) the link gives you — the width of the pipe.
  2. Measure signal power S and noise power N, or read SNR straight off the receiver.
  3. Convert SNR from dB to a plain ratio: 10^(dB/10).
  4. Plug into C = B x log2(1 + S/N) to get the max safe bits per second.
  5. Set your actual data rate (channel count, bitrate, resolution) safely BELOW C.
  6. Need more? Widen B or raise SNR (stronger signal, lower noise), then recompute.

Real examples

How it helps in live sound

Everyday analogy

It is a motorway with a fixed number of lanes: only so many cars fit per minute, and cramming in more just causes crashes instead of moving more traffic.

Watch out

Myth: 'just crank the transmitter or push more channels and it'll get through.' Wrong — past capacity C you get MORE dropouts, not more signal, and raising SNR only helps by the log, so doubling power adds barely a bit per hertz.

Fun fact

Shannon proved in 1948 that error-free comms is possible right up to the limit even over a noisy channel — but only that it CAN be done, not how; engineers took 50 years to invent codes (turbo, LDPC) that crept within a fraction of a dB of his limit.

Key takeaways

  • Every link has a hard ceiling C = B x log2(1 + S/N) in bits/second.
  • Width (bandwidth) scales capacity fast; cleanliness (SNR) only by the logarithm.
  • Below C you can be near-perfect; above C errors are mathematically guaranteed.
  • Weak or noisy wireless drops out because falling SNR drags capacity under the audio rate.
  • To send more safely: widen the pipe or lower the noise, not just crank power.
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