Simulating two signals with a desired coherence

1. What is coherence between two signals?
2. How do you interpret a coherence plot?
3. What are the functions coherence signals?
4. Are coherence signals?

What is coherence between two signals?

In signal processing, the coherence is a statistic that can be used to examine the relation between two signals or data sets. It is commonly used to estimate the power transfer between input and output of a linear system.

How do you interpret a coherence plot?

A coherence value near 1 indicates that the system is linear time-invariant at frequency f and confirms that the controller is capable of control at f. A coherence value near zero indicates that the system is non-linear, statistically changing with time, or both, signifying a low quality of control.

What are the functions coherence signals?

The coherence function measures the correlation between two signals as a function of the frequency components which they contain. It is thus a correlation spectrum. Time differences may also be obtained as a function of frequency by computing the cross-phase spectrum.

Are coherence signals?

So just what is a "coherent signal?" By definition, a coherent signal is a pair of optical signals that have the same frequency and that maintain a constant phase offset. Coherent modulation formats modulate the phase of the coherent light wave (Figure 1).