thomas49th
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If signals x(t) and y(t) are orthogonal and if z(t) = x(t) + y(t) then
E_{z} = E_{x} + E_{y}:
Proof:
E_{z} => \int^{\infty}_{-\infty} {(x(t) + y(t))^{2}} dt<br /> => \int {(x(t) + y(t))^{2}}^{2} dt<br /> => \int (x^{2}(t)) + \int(y^{2}(t))dt + \int x(t)y(t)dt<br /> => E_{x} + E_{y}<br />
because \int x(t)y(t)dt = 0 because of integration by parts:
u = x(t) dv/dt = y(t)
u' = dx/dt, v = frac{y^{2}(t)}{2}
so x(t)\frac{y^{2}(t)}{2} - \int {\frac{y^{2}(t)}{2}\frac{dx}{dt}}dt
x(t)\frac{y^{2}(t)}{2} - \int {\frac{y^{2}(t)}{2}}dx
we can treat y^2(t) as a constant so:
x(t)\frac{y^{2}(t)}{2} - \int^{\infty}_{-\infty} {\frac{y^{2}(t)}{2}}dx
x(t)\frac{y^{2}(t)}{2} - } [{\frac{y^{2}(t)x}{2}}]^{\infty t}_{-\infty t}
but the problem is that the limits were destined for integrating with respect to time. I'm not integrating with respect to x.
Any suggestions?
Thanks
Thomas
E_{z} = E_{x} + E_{y}:
Proof:
E_{z} => \int^{\infty}_{-\infty} {(x(t) + y(t))^{2}} dt<br /> => \int {(x(t) + y(t))^{2}}^{2} dt<br /> => \int (x^{2}(t)) + \int(y^{2}(t))dt + \int x(t)y(t)dt<br /> => E_{x} + E_{y}<br />
because \int x(t)y(t)dt = 0 because of integration by parts:
u = x(t) dv/dt = y(t)
u' = dx/dt, v = frac{y^{2}(t)}{2}
so x(t)\frac{y^{2}(t)}{2} - \int {\frac{y^{2}(t)}{2}\frac{dx}{dt}}dt
x(t)\frac{y^{2}(t)}{2} - \int {\frac{y^{2}(t)}{2}}dx
we can treat y^2(t) as a constant so:
x(t)\frac{y^{2}(t)}{2} - \int^{\infty}_{-\infty} {\frac{y^{2}(t)}{2}}dx
x(t)\frac{y^{2}(t)}{2} - } [{\frac{y^{2}(t)x}{2}}]^{\infty t}_{-\infty t}
but the problem is that the limits were destined for integrating with respect to time. I'm not integrating with respect to x.
Any suggestions?
Thanks
Thomas