- #1
LM741
- 130
- 0
hey something is really confusing me...
we are given this impulse response
h[k] = 2d[k] +((0.8)^k).u[k] + (2(-0.4)^k).u[k]
where d is delta...
anyway the question then asks:
using the convolution, determine the ZERO STATE RESPONSE for an input signal x[k] = 2u[k+2] - 2u[k-4].
Now i kown how to solve that using the convoltion sum (as required):
[tex] y[n] = x[n] * h[n] = \sum_{k=-\infty}^{\infty}h[k] x[n-k][/tex]
my only problem is that this evaluates the total reponse, y[k]!
where our total reponse is equal to the zero state response and the zero input response...
but we just want zero state response - my peers and a tutor say that the convoltution sum is just the zero state response!
is this true...?
they also told me that the zero state response is not necessarily the forced response - (but in textbooks and other sources they always refer to these as the same thing)
thanks...
we are given this impulse response
h[k] = 2d[k] +((0.8)^k).u[k] + (2(-0.4)^k).u[k]
where d is delta...
anyway the question then asks:
using the convolution, determine the ZERO STATE RESPONSE for an input signal x[k] = 2u[k+2] - 2u[k-4].
Now i kown how to solve that using the convoltion sum (as required):
[tex] y[n] = x[n] * h[n] = \sum_{k=-\infty}^{\infty}h[k] x[n-k][/tex]
my only problem is that this evaluates the total reponse, y[k]!
where our total reponse is equal to the zero state response and the zero input response...
but we just want zero state response - my peers and a tutor say that the convoltution sum is just the zero state response!
is this true...?
they also told me that the zero state response is not necessarily the forced response - (but in textbooks and other sources they always refer to these as the same thing)
thanks...