The Hilbert transform of a signal is
where PV means the Cauchy principal value, because the kernel is singular at .
Convolving a time-domain signal with the Hilbert transform kernel produces a 90° phase shift in its frequency-domain representation.
In the frequency domain:
So, intuitively, the Hilbert transform shifts each positive-frequency component by and each negative-frequency component by , without changing its magnitude.
Why do we need it?
A very important application is creating the analytic signal:
For example, if
then
and from Euler's formula,
This is extremely useful for finding the instantaneous amplitude (envelope) and instantaneous phase of signals.
1. Start with Euler's formula
So we can write:
and
The important point is that a real sine wave contains two frequencies:
2. What does the Hilbert transform do?
In frequency domain, the Hilbert transform multiplies the spectrum by
That means:
For positive frequency :
For negative frequency :
And multiplying by means a phase shift, while multiplying by means a phase shift.
3. Apply it to sine
We have
Now apply the Hilbert transform.
For , the frequency is positive, so multiply by :
For , the frequency is negative, so multiply by :
Therefore,
Cancel :
Rearrange:
But we know
Therefore:
The minus sign comes from treating positive and negative frequencies differently:
That's the fundamental reason.
And similarly:
So don't memorize the two formulas separately. Remember the frequency-domain rule:
Everything else follows from that.
Conventional Carrier (Textbook Representation) vs. Real Passband Signal
A real cosine carrier is simply
This is a real physical waveform.
Why does appear?
We sometimes create a complex version of the carrier:
This is Euler's formula.
There is nothing mysterious here.
It is just a convenient mathematical package containing:
and its 90°-shifted version
Think:
Complex carrier
cosine
↓
e^(jωct) = cos(ωct) + j sin(ωct)
↑
sine
The tells us that the sine component is the quadrature/90° component.
Now suppose your information is
If you simply multiply it by the cosine carrier:
you get ordinary AM-type modulation.
No Hilbert transform is needed.
What if we have I and Q?
Suppose we have two independent signals:
and
Then we can form the complex baseband signal
and use the complex carrier
So:
means
Where does the minus sign come from?
Expand it:
And because
we get
So:
The real part is therefore
That's where the minus sign came from.
Where does Hilbert transform enter?
Only now do we introduce it.
Suppose you have one real signal , but you want to construct a complex/analytic representation.
You calculate its Hilbert transform:
and form
So in this particular case:
and
Then the real passband signal becomes
The whole picture
Keep this diagram:
REAL SIGNAL
m(t)
│
│ Hilbert transform
▼
m̂(t)
│
│
┌──────────┴──────────┐
│ │
▼ ▼
I(t) Q(t)
m(t) m̂(t)
│ │
│ × cos │ × sin
▼ ▼
I cos(ωct) Q sin(ωct)
│ │
└──────────┬──────────┘
│
▼
I cos(ωct) - Q sin(ωct)
│
▼
REAL PASSBAND
SIGNAL
And separately:
Complex representation:
z(t) = I(t) + jQ(t)
Carrier:
e^(jωct)
= cos(ωct) + j sin(ωct)
Together:
z(t)e^(jωct)
The three equations you should remember
Complex carrier:
Analytic signal:
Real passband signal: