Trouble with convolution and system response to inputs

In summary, the conversation discusses finding the system response to an input signal using convolution. The solution approach involves changing variables and using a graphical approach. The resulting graph shows the convolution of the input and impulse response signals.
  • #1
Lolsauce
23
0

Homework Statement



x(t) is input, h(t) is the impulse response, y(t) is output

Find the system response to the input x(t)

x(t): [PLAIN]http://img10.imageshack.us/img10/5157/55570988.jpg

h(t): [PLAIN]http://img593.imageshack.us/img593/1079/52492104.jpg

Homework Equations



Now I know the convolution integral is (f*g)(t) = [URL]http://upload.wikimedia.org/math/d/1/2/d122f80c065a111d4617fb3afdae0e53.png[/URL]

But for this problem I took a more graphical approach

The Attempt at a Solution



I changed the variable to T (Tau) and chose a function to be time reversed

So I took the input and shifted then reversed the graph giving me this:
[PLAIN]http://img13.imageshack.us/img13/8581/xtshiftandreverse.jpg

Afterwards I found t in which the graphs starts overlapping and not overlapping. I found at for t < -1, convolution c(t) = 0. So for my first intervals I looked at -1 < t < 0, which overlapping begins.

[PLAIN]http://img703.imageshack.us/img703/5655/widthj.jpg

This gives me a width of (t-2) - (-3) = t + 1 which should be the equation from -1<t<0.

I repeat the same process from 0 < t < 5, and this give me an obviously overlap and convolution of c(t) = 1.

Then for the overlap starts to leave, I get and equation of:
(t-3) - 3 = t - 6, this is from the endpoint of x(t-T) leaving h(t).

So at the end I get this graph, it seems kind of whack. Especially the first interval of -1 < t < 0. Can anyone give me some tips or see a mistake I've done.

[PLAIN]http://img69.imageshack.us/img69/7213/convolution.jpg
 
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  • #2
Nevermind, I just solved it, lolsauce. I turns from -1 < t < 0 the equation is t + 1, means it is shift to the right by one, NOT shifted up like I had thought.
 

Related to Trouble with convolution and system response to inputs

What is convolution?

Convolution is a mathematical operation that combines two functions to produce a third function. In the context of signal processing, it is used to describe the output of a system when given an input signal.

How is convolution used in system response analysis?

Convolution is used to calculate the response of a system to an input signal. By convolving the input signal with the impulse response of the system, the resulting output signal can be determined.

What is an impulse response?

An impulse response is the output of a system when it is given an input signal that is an impulse, meaning it is very short in duration and has a value of 1. It is used to describe the behavior of a system and is an important component in convolution analysis.

What are some common challenges with convolution analysis?

One common challenge is dealing with infinite signals and functions, as convolution is often used with continuous-time systems. Another challenge is determining the appropriate limits of integration when performing the convolution integral.

How can system response be improved?

The system response can be improved by adjusting the system parameters or by adding additional components, such as filters, to the system. The impulse response can also be manipulated to achieve the desired response.

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