Hi, everyone.
In this lecture we will talk about briefly the classifications of we will need to transform.
In general we really do transform can be divided into two broad classes.
Continuous really need transforms and a discrete mass forms.
As for the continuous weaving into transforms.
C.
W.
T.
Uh, this is the cliche.
See, a, b is the c, w, t and efficient f t is a signal sign a b is the B squirrely also called a
model.
We relate this to symbol.
The first star is the complex conjugate symbols and E is the skill or omega and B is the shift also
called a position parameter B belongs to positive noun zero.
This time is known zero.
Real number B belongs to Leo number.
And.
Why a record is continuous.
We want it to transform because the seat skill parameter a and achieved position or position parameter
speak are continuous continuous numbers by continuously varying the values of skew parameter E and the
position or the shift parameter B we obtained the c, w t.
Q Efficiency.
B Yeah, you see the meaning of.
Appreciate.
Okay.
As for the discrete biblical principle.
And any way would transform.
For which the weevils are discreetly assembled, the segment of the frequency access corresponds to
the chaotic assembly.
The skill parameter is discrete highest to interpret how to.
The piece really becomes this where the a, b comes to power, g b is to power, g multiply.
As the signal and pity occur at the discrete harder time step to t as a means fatigue is also the discrete
highest.
The diety discrete.
We believe the transforms can be right.
It's these machines becomes these you see you continue continuously related transforms increasing.
And the discrete.
We really could transform the equations that discrete we would need to transform the WG decomposed a
signal into sort of military orthogonal really to piece functions.
See these two piece we are focusing.
Let's see some other classification.
My first.
Based on date dimensions and the ability to transform MBT White to windy 2D indie beast will be two
transforms.
A piece on the decomposition layer was.
And we want it to transform can be divided into a single layer beast.
And what level of beast what's.
As for discrete, we believe it transforms.
It can be classified into.
The discrete will be able to transform as they see the Steiner discrete we really transform and DWP.
These three.
And we need to transform S.W.A.T..
Multi resolution and alliances based and very discrete.
We reach transforms.
We a short as MRI e.
We believe that Peggy transform probably peachy maximum or discrete quality transform ama ody wg and
muti resolution analyses based on the multi wg short form is am already property and are e.
Well.
This is a lecture, and I hope this lecture gives you these concepts of the will to transform.
And the classification.
Yeah.
Deeper in the classroom.
Fishing methods.
Thank you.
See you in the next lecture.