Homework Statement
I'm kind of confused between DFT and DTFT. Here is my understanding:
Okay, so let's say we have time domain, continuous, analogue signal from a sensor - ##x(t) ##
1. We sample this signal, giving us something like the following with an impulse train
Now this is a...
Homework Statement
Hi,
So we started sampling/sampling theorem, dirac delta, DTFT in a digital signal processing module and I'm kinda confused. I understand how to derive the following formulae but these two formulae are so different to each other that I don't understand why?
We are first...
Let's consider a signal which is continuous in both time and amplitude. Now we consider the amplitude of this signal at specific time instants only. This is my understanding of sampling a signal in time domain.
When performing a Fourier transform on a time discrete signal, we have to apply the...
Hello everyone.
Iam trying to understand the discrete time Fourier transform for a signal processing course but Iam quite confused about the angular frequency.If I have a difference equation given, what values should I choose for my angular frequency if I do
not know anything about the sample...
Homework Statement
There is a signal y[n] with a differentiable DTFT Y(eiw). Find the inverse DTFT of i(d/dw)Y(eiw) in terms of y[n] (where of course i = √-1).
Homework Equations
Sifting property ∫eiwndw = 2π*δ[n] from [-π,π] (integral a) leads to ∫Y(eiwn)dw = 2π*y[n] from [-π,π] (integral b)...
Could someone explain the intuition behind the variables of the FT and DTFT? Do I understand it correctly ?
For FT being X(f), I understand that f is a possible argument the frequency, as in number of cycles per second.
FT can be alternatively parameterized by \omega = 2 \pi f which...
Homework Statement
My book writes the following: using pair for the Discrete Time Fourier Transform:
-a^{k}u[-k-1] <---(DTFT)---> \frac{1}{1-ae^{-iw}} for \left | a \right | > 1
Homework Equations
Well, for the simple similar pair such as:
a^{k}u[k] <---(DTFT)--->...
Hello.
I'm stuck on calculating DTFT of 1.
DTFT formula is:
so dtft of 1 is:
1) in case of w=1, sum becomes:
doesn't it diverge?
2) in case of w no 1, how the hell should that sum be calculated?
thanks
Given a discrete time signal x[n] that has a DTFT (which exists in the mean square convergence or in the uniform convergence sense), how can we tell if the signal x[n] converges absolutely?
I know the following:
x[n] is absolutely summable <=> X(e^{j \omega}) converges uniformly (i.e...
So I'm trying to find the DTFT of the following; where u(n) is the unit step function.
u \left( n \right) =\cases{0&$n<0$\cr 1&$0\leq n$\cr}
I want to find the DTFT of
u \left( n \right) -2\,u \left( n-8 \right) +u \left( n-16 \right)
Which ends up being a piecewise defined function...
Homework Statement
x[n] = Ʃ ck * δ(n-k), from k = -N to N. Plot the DTFT as a function of the number of terms N. This is a finite sum.
Homework Equations
The equation for the DTFT of a signal, which is Ʃ x[n] * e-j*2∏*∅*n, from n = -∞ to +∞
The Attempt at a Solution
I have...
Hello all !
Homework Statement
I have the following problem.
I have to calculate the DTFT of this : x(n)=u(n)-u(n-4).
Homework Equations
Fourier Transformations
The Attempt at a Solution
So far , from what I have studied I have understood, that a DTFT , is actually many...
1. Homework Statement [/b]
You are given the following pieces of information about a real, stable, discrete-time signal x and its DTFT X, which can be written in the form X(\omega)=A(\omega)e^{i\theta_x(\omega)} where A(\omega)=\pm|X(\omega|.
a) x is a finite-length signal
b) \hat{X} has...
Homework Statement
You are given the following pieces of information about a real, stable, discrete-time signal x and its DTFT X, which can be written in the form X(\omega)=A(\omega)e^{i\theta_x(\omega)} where A(\omega)=\pm|X(\omega|.
a) x is a finite-length signal
b) \hat{X} has exactly two...
Homework Statement
Compute the DTFT of the following signal.
x[n] = (0.8)^n u[n]
Homework Equations
Properties of DTFT
The Attempt at a Solution
Well, my professor tells me to use the properties of DTFT to solve this. I'd love to - except I don't know what the DTFT of (0.8)^n...
I'm considering the 12 –point sequence x[n] which is defined as x[n] = {1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1}.
I'd like to use Matlab to find the DFT (X[k] of x[n]) and DTFT (X(e^jw) of x[n]).
I realize that the DFT is sampled version of DTFT, and I want to show this graphically using...