Python phase unwrap

1. What is phase unwrap?
2. What is unwrap in Python?
3. How does Numpy unwrap work?
4. How do you unwrap an angle?

What is phase unwrap?

Phase unwrap or unwrap is a process often used to reconstruct a signal's original phase. Unwrap algorithms add appropriate multiples of 2π to each phase input to restore original phase values, as illustrated in the diagram. For more information on the unwrap algorithm used by this block, see Unwrap Method.

What is unwrap in Python?

unwrap(p, discount=3.141592653589793, axis=-1) function helps user to unwrap a given array by changing deltas to values of 2*pi complement. It unwraps radian phase p by changing absolute jumps greater than discount to their 2*pi complement along the given axis. Result is an unwrapped array.

How does Numpy unwrap work?

unwrap. Unwrap by taking the complement of large deltas with respect to the period. This unwraps a signal p by changing elements which have an absolute difference from their predecessor of more than max(discont, period/2) to their period-complementary values.

How do you unwrap an angle?

Q = unwrap( P ) unwraps the radian phase angles in a vector P . Whenever the jump between consecutive angles is greater than or equal to π radians, unwrap shifts the angles by adding multiples of ±2π until the jump is less than π. If P is a matrix, unwrap operates columnwise.