- What is coherence between two signals?
- What are the functions of coherence signals?
- What is multiple coherence?
- What is white noise in communication?
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.
What are the functions of 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.
What is multiple coherence?
The multiple coherence is a spectral analysis tool allowing the estimation of the contribution of several, possibly partially, coherent inputs to one or several outputs.
What is white noise in communication?
In signal processing, white noise is a random signal having equal intensity at different frequencies, giving it a constant power spectral density.