Howtosignalprocessing
- What is magnitude-squared coherence?
- What is multiple coherence?
- What is Mscohere in Matlab?
- How to calculate coherence?
What is magnitude-squared coherence?
The magnitude-squared coherence (MSC) is a measure that estimates the extent to which one real- or complex-valued signal can be predicted from another real- or complex-valued signal using a linear model. It is also used as a measure of the similarities in the frequency content of two signals.
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 Mscohere in Matlab?
cxy = mscohere( x , y ) finds the magnitude-squared coherence estimate, cxy , of the input signals, x and y . If x and y are both vectors, they must have the same length. If one of the signals is a matrix and the other is a vector, then the length of the vector must equal the number of rows in the matrix.
How to calculate coherence?
Coherence as a measure of confidence in transfer function H1
If a system is linear time-invariant with frequency response (Sxy(ω) = H(ω) Sxx(ω) ), then H(ω) = Sxy(ω)/Sxx(ω).
