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Instantaneous phase and frequency

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Through Rate (mathematics), Principal value and Complex number

φ(t)=arg⁡{s(t)},

where arg is the complex argument function. The instantaneous frequency is the temporal rate of change of the instantaneous phase.

And for a real-valued function s(t), it is determined from the function's analytic representation, sa(t):

φ(t)=arg⁡{sa(t)}=arg⁡{s(t)+js^(t)},

where s^(t) represents the Hilbert transform of s(t).

When φ(t) is constrained to its principal value, either the interval (−π, π] or [0, 2π), it is called wrapped phase. Otherwise it is called unwrapped phase, which is a continuous function of argument t, assuming sa(t) is a continuous function of t. Unless otherwise indicated, the continuous form should be inferred.

Examples

Example 1

s(t)=Acos⁡(ωt+θ),

where ω > 0.

sa(t)=Aej(ωt+θ),φ(t)=ωt+θ.

In this simple sinusoidal example, the constant θ is also commonly referred to as phase or phase offset. φ(t) is a function of time; θ is not. In the next example, we also see that the phase offset of a real-valued sinusoid is ambiguous unless a reference (sin or cos) is specified. φ(t) is unambiguously defined.

Example 2

s(t)=Asin⁡(ωt)=Acos⁡(ωt−π2),

where ω > 0.

sa(t)=Aej(ωt−π2),φ(t)=ωt−π2.

In both examples the local maxima of s(t) correspond to φ(t) = 2πN for integer values of N. This has applications in the field of computer vision.

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