Combination of discrete/continuous signals

  • Thread starter Thread starter MathematicalPhysicist
  • Start date Start date
  • Tags Tags
    Combination Signals
Click For Summary
SUMMARY

The discussion focuses on the theoretical engineering concept of signals that are both discrete and continuous, exemplified by the function ##x[n,t) = t/n##. It highlights the lack of coverage in standard texts such as those by Oppenheimer regarding this topic. The conversation elaborates on processing such signals through linear time-invariant systems and suggests methods for transforming these signals into the frequency domain using both continuous and discrete Fourier transforms. The participants express a desire for literature that addresses the complexities of combined signals.

PREREQUISITES
  • Understanding of linear time-invariant systems
  • Familiarity with Fourier transforms, specifically 1D continuous and discrete time Fourier transforms
  • Knowledge of signal representation in both discrete and continuous domains
  • Basic concepts of impulse response in signal processing
NEXT STEPS
  • Research the application of combined discrete and continuous signals in engineering
  • Explore advanced topics in linear time-invariant systems and their impulse responses
  • Study the mathematical foundations of 2D continuous Fourier transforms
  • Investigate existing literature on the theoretical aspects of combined signals
USEFUL FOR

Engineers, signal processing researchers, and students interested in advanced signal theory and its applications in systems analysis.

MathematicalPhysicist
Science Advisor
Gold Member
Messages
4,662
Reaction score
372
I am looking for literature in theoretical engineering that covers a topic of a signal which is both discrete and continuous.

For example ##x[n,t) = t/n## where ##t## ranges over ##[0,\infty)\cap \mathbb{R}## and ##n## is discrete, i.e takes values in ##\mathbb{Z}##.

I believe that this isn't covered in the usual books of Oppenhiemer, but I may be wrong.
Thanks in advance!
 
Engineering news on Phys.org
It isn't covered in the typical signals and systems books I am familiar with, but most things you would want to do with such a signal should be pretty straightforward to write down. For example, if ##x## is an input to a linear time-invariant system with impulse response ##h[n,t)##, then the output would be
$$
y[n,t) = \int_{-\infty}^\infty \sum_{m=-\infty}^{\infty} h[m,\tau) x[n-m,t-\tau) \, d\tau
$$
Likewise, to get into the frequency domain you can do a combination of a 1D continuous Fourier transform and a 1D discrete time Fourier transform. etc.

If you are not comfortable with that, one direct approach is to treat it like a 2D continuous signal defined by
$$
x_c(v,t) = \sum_{n=-\infty}^\infty x[n,t) \delta(v-n).
$$
Then if you have a continuous linear time-invariant system with impulse response ##h_c(v,t)##, the output is
$$
\begin{eqnarray*}
y(v,t) & = & \int_{-\infty}^\infty \int_{-\infty}^\infty h_c(\nu,\tau) x_c(v-\nu,t-\tau) \, d\tau \, d\nu \\
& = & \int_{-\infty}^\infty \int_{-\infty}^\infty h_c(\nu,\tau) \sum_{m=-\infty}^\infty x[m,t-\tau) \delta(v-\nu-m) \, d\tau \, d\nu \\
& = & \int_{-\infty}^\infty h_c(v-m,\tau) \sum_{m=-\infty}^\infty x[m,t-\tau) \, d\tau \\
& = & \int_{-\infty}^\infty \sum_{m=-\infty}^{\infty} h_c(m,\tau) x[v-m,t-\tau) \, d\tau ,
\end{eqnarray*}
$$
which is of course only defined when ##v## is an integer. You can of course take 2D continuous Fourier transforms of ##x_c## as well. etc.

Is there some particular application or messy situation you are looking at?

jason
 
Last edited:
@jasonRF not anything in particular.
I just wonder what has already been done in this topic of combined signals.
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 0 ·
Replies
0
Views
4K
  • · Replies 9 ·
Replies
9
Views
22K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
5K
  • · Replies 3 ·
Replies
3
Views
3K