Howtosignalprocessing
- What is deterministic signal and example?
- What are the examples of random signals?
- What are deterministic and random signals?
- What is difference between random and deterministic?
What is deterministic signal and example?
These are deterministic signals that are corrupted by noise and random signals that are corrupted by noise. Examples of deterministic signals corrupted by noise are active sonar and nondestructive testing with high-frequency sound.
What are the examples of random signals?
Many signals processed by computers can be considered as random. Examples: speech, audio, video, digital communication, medical, biological, and economic signals.
What are deterministic and random signals?
A signal is defined as deterministic if its values at any point in time can be defined precisely by a mathematical equation. For example, the signal x(n) = sin(πn/4) is deterministic. On the other hand, random signals have uncertain values and are usually described using their statistics.
What is difference between random and deterministic?
Signals that can be modeled exactly by a mathematical formula are known as deterministic signals. Deterministic signals are not always adequate to model real-world situations. Random signals, on the other hand, cannot be described by a mathematical equation; they are modeled in probabilistic terms.
