Equation for a Complex Chirp

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In summary, the conversation discusses the equation for a "complex" chirp waveform with a sinusoidal frequency drop over a given number of cycles. The equation is dependent on the capacitance of the circuit, which changes with applied voltage and time of excitation. The equation is represented as f(t) = 2π(1- t/9π)sin(F_0) for F_0 to 1/3 F_0 as t changes from 0 to 6π. However, the conversation also mentions that the frequency decay may actually be exponential and further calculations are needed.
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Equation for a "Complex" Chirp

Can anyone give me a general equation for a sinusoidal frequency dropping chirp.

I want to calculate a waveform where the frequency drops a given fraction over a given number of cycles.

The capacitance of the circuit I am trying to analyse changes with applied voltage and time of excitation resulting in a chirped waveform that drops from Fo to Fo/3 over about 10 cycles.
 
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The wavelength of A Sin(f(t)) is given by [itex]f(t)= 2\pi[/itex]. In order to have that change you need that to be a function of t rather than a constant. The function [itex]F_0(1- \frac{t}{9\pi}[/itex] changes from F_0 to 1/3 F0 as t changes from 0 to [itex]6\pi[/itex]. You need
[tex]sin(F_0)(1-\frac{2t}{18\pi})[/tex]
 
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OK now, I sorted it out on my own eventually, Sadly when I compare the calculations to the measurements it looks like the frequency decays exponentially, so it's back to the drawing board.
At least by deriving the linear case myself I know how to tackle the exponential case.
I haven't even started the amplitude decay yet, this is going to be a nasty equation.
 

FAQ: Equation for a Complex Chirp

What is a complex chirp?

A complex chirp is a signal that changes its frequency and phase over time. It is often used in signal processing and communication systems to transmit information in a more efficient way.

How is a complex chirp represented mathematically?

A complex chirp is typically represented by an equation that includes a time-varying frequency and phase term, such as:

f(t) = A(t) * exp(i * phi(t))

where A(t) is the amplitude, phi(t) is the phase, and i is the imaginary unit.

What is the equation for a complex chirp?

The equation for a complex chirp can vary depending on the specific application, but it generally follows the form of: f(t) = A(t) * exp(i * phi(t)), where A(t) and phi(t) are functions that describe the amplitude and phase of the signal over time.

What is the purpose of a complex chirp?

A complex chirp can be used for a variety of purposes, such as encoding information in communication systems, analyzing signals in signal processing, and creating special effects in audio and music production.

How is a complex chirp different from a simple chirp?

A simple chirp is a signal that changes its frequency over time, while a complex chirp also includes a phase term that changes over time. This makes a complex chirp more versatile and useful in various applications.

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