Engineering Finding Impulse Response of Difference Equation

AI Thread Summary
The discussion focuses on finding the impulse response of a difference equation, with participants emphasizing the need for the original poster to demonstrate some effort before receiving guidance. Questions about the definition of convolution for discrete equations are raised, along with suggestions to use Excel for visualizing the impulse response. Additional resources are provided to aid understanding. Participants also discuss notation, questioning whether Y(n) or Y(z) is more appropriate, and suggest exploring transforms related to the equation. Overall, the conversation highlights the importance of foundational knowledge and effort in tackling the problem.
Nickpga
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Poster has been reminded to show their work on schoolwork problems
Homework Statement
Part of a lab, but basically I need to find the impulse response from this difference equation

y[n] = x[n] + 0.7x[n - 64]
Relevant Equations
y(n) = x(n) convoluted with h(n)
Y(n)/X(n) = H(n)
And really that's all I know how to do myself. If someone can explain/lead me through this, that will be very helpful. Thanks
 
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No, you really have shown no work, so we can't "lead" you through it. As you know, you are required to show some effort here before we can offer tutorial help on schoolwork.

What is the definition of convolution for discrete equations? Have you tried doing this in Excel at least, to see what the impulse response looks like?

http://www.astro.rug.nl/~vdhulst/SignalProcessing/Hoorcolleges/college03.pdf
 
Do they write it as Y(n)? I thought they might use Y(z) instead. Is it possible to write x[n-64] in a way that might be helpful for you to start with and are there any transforms you can try with your equation?
 

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