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In probability theory and statistics, a complex random vector is typically a tuple of complex-valued random variables, and generally is a random variable taking values in a vector space over the field of complex numbers. If Z 1 , … , Z n {\displaystyle Z_{1},\ldots ,Z_{n}} are complex-valued random variables, then the n-tuple ( Z 1 , … , Z n )…
Characters, Covariance matrix and pseudo-covariance matrix & Characteristic function
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Complex random vector | related to Cauchy–Schwarz inequality | The Cauchy | 0.60 | section |
| Complex random vector | related to Cauchy–Schwarz inequality | Schwarz | 0.60 | section |
| Complex random vector | related to Characteristic function | The | 0.60 | section |
| Complex random vector | related to Circular symmetry | The | 0.60 | section |
| Complex random vector | related to Cross-covariance matrix and pseudo-cross-covariance matrix | The | 0.60 | section |
| Complex random vector | related to Cross-covariance matrix and pseudo-cross-covariance matrix | And | 0.60 | section |
| Complex random vector | related to Definition | Omega | 0.60 | section |
| Complex random vector | related to Definition | Re | 0.60 | section |
| Complex random vector | related to Definition | Im | 0.60 | section |
| Complex random vector | related to Expectation | As | 0.60 | section |
| Complex random vector | related to Independence | Two | 0.60 | section |
| Complex random vector | related to Independence | Eq | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.