-
so today we're going to talk about
something very important, just to just
-
illustrate to you how this is going to
change your life. And it's a problem that
-
actually a lot of people are not aware of.
I like to bring awareness to class. And
-
we're going to use math to help us out. So
I'm going to draw you a nice picture, and
-
try to motivate. What we're doing today.
Yes those are mountains. . And over here
-
it comes down to the nice shoreline. This
water, okay? And in this water, this is
-
the Lake Washington, Lake Whale, have you
heard of it? It's an endangered species,
-
very hard to find. And our, our objective
is to see to try to save these things. You
-
know because here's what happens, you know
what the U.S. Navy does? I don't know if
-
you've seen this on the news about every
few months. four or fifth page. Below the
-
fold, where you can't find it. maybe
vessels go out from Premberton. You know
-
these submarines and they got these
powerful SONAR's and they blow up whales
-
out in the water. Right?'Cuz a SONAR's
basically going through them and it's like
-
if I were take an ultrasound on you and
crank it up and then put it right here
-
you'd... Poof. Blow something up inside.
And that's what happens to the whales.
-
Okay? So this is why these are endangered
in Lake Washington. I'm not sure if
-
there's submarines there. But there are
the Navy runs exercises there. And we'd
-
like to identify where they are. So here's
what we're going to do. We're going to set
-
this up as sort of a radar problem. I
could have drawn a plane, that's what I
-
draw in the notes, but. We're going to
make more relevant. here's what I want to
-
do. Here's the idea behind sonar and
behind radar. In some sense we're going to
-
get a little lecture on this, so what I'm
going to do is I'm going to have. I'm a
-
scientist over here on the shore. And I
got this device that I attached to a
-
fishing pole. In and out here and what I'm
going to do with this its both a sender
-
and a receiver. And what I'm going to do
is I'm going to send out stuff. And
-
frequency. Omega not. And i t's going
everywhere. And what I'm going to look
-
for, is, stuff that bounces back. Right?
So, the idea behind radar, sonar, or any
-
of this stuff. Is that, it's going to come
over here, hit this whale. And bounce back
-
in all kinds of directions, okay? And so
what's going to come back towards this
-
detector is some field. that'll make a
not. And so I look, send it out, send my
-
signal out, wait till it comes back. The
time I send out to the time I receive I
-
can kind of get a distance estimate, so
forth. There's a lot of signal processing
-
that goes on here. We're just going to
talk about very rudimentary parts of this.
-
But the idea is I know my signal. Sending
it out and I know what's coming back.
-
Okay. So this allows me maybe to do some
detection. All right, so I could do the
-
same thing by the way, if I did do the
airplane example. You know, there's radars
-
that are up here and I have this
super-fast jet and I hope you all
-
appreciate that awesome little stick
drawing I have of the super-fast jet in my
-
notes. Okay? same thing happens here. I
send out a signal at some frequency. And
-
it bounces back. Okay so here's the idea.
Suppose you're in the that jet, and you
-
don't want people to know you're there. I
don't know why you would want that. Maybe
-
you want to be stealthy and then maybe
call the plane something like a stealth
-
plane or something. So the whole point is,
you don't want this thing to receive that
-
signal back. So, you might make, your
airplane out of a special material that
-
have absorbed omega knots. Nothing bounces
back. There's nothing there, right? All
-
right, so things like that. Or you try to
might, try to just figure out how can I
-
just reduce the scatter as much as
possible. So you might design your jet so
-
that, that would not happen. Or,
alternatively, you can you know fly one of
-
these big places up here. Have you seen
these? Awacs planes. You guys know these?
-
You guys read these? When I was a little
boy, I loved airplane books. And I, I
-
didn't like that jet so much, because it
looks dumb. This one I lik ed.
-
That one was dumb. What this does, you
know what this does? How about if I just
-
blast the entire space here with
omeganaut? I mean, this guy is going to
-
go, oh. I, okay I know this thing here is
flying like way up here. But I can't see
-
this anymore, because I just drowned out
the signal. Okay? Alright. So these are
-
the kinds of things you think about in
radar detection. How to detect, how to not
-
be detected, okay. So it's a signal
processing problem and in particular, for
-
many of these applications if I want a
good clean detection, I'm trying to send
-
out a signal and bring stuff back. Well
here's, here's part of the problem,
-
careless people. Look at these people here
texting. They're sending out all kinds of
-
frequencies. Polluting the airways. If you
could see beyond your little limited view
-
of the electro-magnetic spectrum, you'd
see pollution everywhere. Because we have
-
cell phone signals, we have wi-fi, we have
satellite dish networks dropping things
-
down. We have a lot of noise in this
thing, right. So if you were to look at
-
the electro-magnetic spectrum, there's
stuff everywhere. Okay? So it makes it
-
very noisy, to be detecting this stuff,
okay? So part of what we want to
-
understand, is how do I, extract out this
noise? Right? I mean, blast it with noise.
-
And I got to take this noise away somehow.
But the one thing I do know is I am
-
looking for a very specific frequency. If
I just simply take a measurement here of,
-
say, what's out there, I'm going to get.
These people's little tweets.'Kay? Anybody
-
tweet? Don't raise your hand if you do,
because I'm [INAUDIBLE], anybody tweet?
-
Cuz I'm going to totally make fun of you
if you do. okay? So whenever I ask do you
-
tweet, just say no. Cuz otherwise I will
bring you up front maybe even make fun of
-
you. Okay? Lol Okay? All right, so, so
anyway, you do this and you have all this
-
spectrum. What do we want to do? This is
the problem we kind of, want to look at
-
today, all right? Does everybody feel
super motivated? Yeah, like we're going to
-
save the world in Lake W ales. All at the
same time. I told you this was going to
-
change your life, this class, right? Just
in case you didn't believe me this is only
-
day two, this thing you know day 30 we'll
be like saving the universe not just, not
-
just this Earth. Okay, so what I want to
do is now to pull up Mat lab and we're
-
going to start playing around with this
idea. of how to think about signals. How
-
to filter them. And that is one of the
standard things you do in signal
-
processing. So a lot of this, again, falls
under the of what we call data analysis.
-
You have signal, you have data. Don't, if,
if you want to think about it this way.
-
Remember, I'm going to give. In all these
contexts, I'm going to give you an
-
example. Like, this is an example that
comes either sonar or radar. But you
-
should never think of it as sonar radar.
You just think of it as. This is a data
-
analysis problem. I'm trying to extract
the real data I want out of noisy data,
-
okay? Your application is very different.
Never confuse it that this is really about
-
radars. It's never about radars or it's
never about specifics of that sort. we're
-
going to do a lot of image processing in
the class, this is not an image processing
-
class. It's really easy to illustrate the
ideas within image processing, because I
-
can just show you. But this is just data
and you can take these techniques and
-
apply them to anything, okay? So that was,
that's. I want you to have that in your
-
mind, as we move through the quarter.