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Introduciendo las series de fourier a los sistemas lti

Antes de ver este modulo, usted debería familiarizarse con los conceptos de Eigenfunciones de los sistemas LTI . Recuerde, para sistema LTI tenemos la siguiente relación

Señales de entrada y salida para nuestro sitema LTI.

donde s t es una eigenfunción de . Su eigenvalor correspondiente H s pueden ser calculado usando la respuesta de impulso h t H s τ h τ s τ

Así, usando la expansión de las series de Fourier para f t periódica donde usamos la entrada f t n c n ω 0 n t en el sistema,

Sistema LTI

nuestra salida y t será y t n H ω 0 n c n ω 0 n t Podemos ver que al aplicar las ecuaciones de expansión de series de fourier, podemos ir de f t a c n y viceversa, y es lo mismo para la salida, y t

Efectos de las series de fourier

Podemos pensar de un sistema LTI como el ir moldeando el contenido de la frecuencia de la entrada. Mantenga en mente el sistema básico LTI que presentamos en . El sistema LTI, , multiplica todos los coeficientes de Fourier y los escala.

Dado los coeficientes de Fourier de la entrada c n y los eigen valores del sistema H w 0 n , las series de Fourier de la salida, es H w 0 n c n (una simple multiplicación de termino por termino).

los eigenvalores, H w 0 n describen completamente lo que un sistema LTI le hace a una señal periódica con periodo T 2 w 0

¿Quéhace este sistema?

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El circuito rc

h t 1 R C t R C u t

¿Quées lo que este sistema hace a las series de fourier de la f t ?

Calcula los eigenvalores de este sistema

H s τ h τ s τ τ 0 1 R C τ R C s τ 1 R C τ 0 τ 1 R C s 1 R C 1 1 R C s τ 0 τ 1 R C s 1 1 R C s

Ahora, decimos que a este circuito RC lo alimentamos con una entrada f t periódica (con periodo T 2 w 0 ).

Vea los eigen valores para s w 0 n H w 0 n 1 1 R C w 0 n 1 1 R 2 C 2 w 0 2 n 2

El circuito RC es un sistema pasa bajas : pasa frecuencias bajas n alrededor de 0 ) atenúa frecuencias altas ( n grandes).

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PulsÓCuadrado a travÉS del circuito rc

  • Señal de entrada : tomando las series de Fourier f t c n 1 2 2 n 2 n 1 t en n 0
  • Sistema : Eigenvalores H w 0 n 1 1 R C w 0 n
  • Señal de salida: tomando las series de Fourier de y t d n H w 0 n c n 1 1 R C w 0 n 1 2 2 n 2 n

d n 1 1 R C w 0 n 1 2 2 n 2 n y t n d n w 0 n t

¿Quépodemos decir sobre y t de d n ?

  • ¿Es y t real?
  • ¿Es y t simétrico par?¿simétrico impar?
  • ¿Comóse y t ¿es mas“suave”que f t ? (el radio de descomposición de d n vs. c n )

d n 1 1 R C w 0 n 1 2 2 n 2 n d n 1 1 R C w 0 2 n 2 1 2 2 n 2 n

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Questions & Answers

can someone help me with some logarithmic and exponential equations.
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sure. what is your question?
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it think it's written 20/(X-6)^2 so it's 20 divided by X-6 squared
I'm not sure why it wrote it the other way
I got X =-6
ok. so take the square root of both sides, now you have plus or minus the square root of 20= x-6
oops. ignore that.
so you not have an equal sign anywhere in the original equation?
Commplementary angles
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The answer is neither. The function, 2 = 0 cannot exist. Hence, the function is undefined.
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Differences Between Laspeyres and Paasche Indices
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At high concentrations (>0.01 M), the relation between absorptivity coefficient and absorbance is no longer linear. This is due to the electrostatic interactions between the quantum dots in close proximity. If the concentration of the solution is high, another effect that is seen is the scattering of light from the large number of quantum dots. This assumption only works at low concentrations of the analyte. Presence of stray light.
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Source:  OpenStax, Señales y sistemas. OpenStax CNX. Sep 28, 2006 Download for free at http://cnx.org/content/col10373/1.2
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