Signal Processing Asked by Jhon Margalit on November 28, 2021
I’m having a hard time to calculate the next function, and I don’t really know Matlab good enough to calculate it there.
Help would be appreciated:
$$h[n]=frac{A_1 cos[theta_1(n-N/2)]}{n-N/2}$$
The given impulse response is a scaled version of the impulse response of a highpass Hilbert transformer with delay $tau=N/2$ ($N$ odd) with frequency response
$$H(e^{jomega})=begin{cases}-j,textrm{sgn}(omega),e^{-jomegatau},&omega_c<omega<pi\j,textrm{sgn}(omega),e^{-jomegatau},&-pi<omega<-omega_c\0,&-omega_c<omega<omega_cend{cases}tag{1}$$
This can be shown as follows:
$$begin{align}h[n]&=frac{1}{2pi}int_{-pi}^{pi}H(e^{jomega})e^{jnomega }domega\&=frac{1}{2pi}left[-jint_{omega_c}^{pi}e^{jomega(n-tau)}domega+jint_{-pi}^{-omega_c}e^{jomega(n-tau)}domegaright]\&=frac{1}{2pi (n-tau)}left[-e^{jpi(n-tau)}+e^{jomega_c(n-tau)}+e^{-jomega_c(n-tau)}-e^{-jpi(n-tau)}right]\&=frac{cos[omega_c(n-tau)]-cos[pi(n-tau)]}{pi(n-tau)}tag{2}end{align}$$
Since for $tau=(2k+1)/2$, $kinmathbb{Z}$, we have $cos[pi(n-tau)]=0$ we arrive at the following inverse DTFT of $(1)$:
$$h[n]=frac{cos[omega_c(n-tau)]}{pi(n-tau)}tag{3}$$
Answered by Matt L. on November 28, 2021
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