Walsh Sampling with Incomplete Noisy Signals

Understand

With the advent of massive data outputs at a regular rate, admittedly, signal processing technology plays an increasingly key role.

• Nowadays, signals are not merely restricted to physical sources, they have been extended to digital sources as well.
• Under the general assumption of discrete statistical signal sources, we propose a practical problem of sampling incomplete noisy signals for which we do not know a priori and the sampling size is bounded.
• We approach this sampling problem by Shannon's channel coding theorem.