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Ecuación de Matriz para la DTFS

Module by: Roy Ha. E-mail the authorTranslated By: Fara Meza, Erika Jackson

Based on: Matrix Equation for the DTFS by Roy Ha

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Summary: Este modulo ve como se escribe la ecuación de matriz para la DTFS para hacer los calculos y mostrar las bases mas facilmente.

Note: Your browser may not currently support MathML. See our browser support page for additional details. You can always view the correct math in the PDF version.

La DTFS es nada mas un cambio de bases en N N . Para comenzar, tenemos fn f n en términos de la base estándar.

fn=f0 e 0 +f1 e 1 ++fN1 e N - 1 =k=0n1fkδkn f n f 0 e 0 f 1 e 1 f N 1 e N - 1 k 0 n 1 f k δ k n (1)
f0f1f2fN1=f0000+0f100+00f20++000fN1 f 0 f 1 f 2 f N 1 f 0 0 0 0 0 f 1 0 0 0 0 f 2 0 0 0 0 f N 1 (2)
Tomando la DTFS, podemos escribir fn f n en términos de la base de Fourier senosoidal
fn=k=0N1 c k 2πNkn f n k 0 N 1 c k 2 N k n (3)
f0f1f2fN1= c 0 1111+ c 1 12πN4πN2πNN1+ c 2 14πN8πN4πNN1+ f 0 f 1 f 2 f N 1 c 0 1 1 1 1 c 1 1 2 N 4 N 2 N N 1 c 2 1 4 N 8 N 4 N N 1 (4)
Podemos formar la matriz base (llamaremos esto WW envés deBB) al acomodar los vectores bases en las columnas obtenemos
W= b 0 n b 1 n b N - 1 n=111112πN4πN2πNN114πN8πN2πN2N112πNN12πN2N12πNN1N1 W b 0 n b 1 n b N - 1 n 1 1 1 1 1 2 N 4 N 2 N N 1 1 4 N 8 N 2 N 2 N 1 1 2 N N 1 2 N 2 N 1 2 N N 1 N 1 (5)
con b k n=2πNkn b k n 2 N k n

note:

la entrada k-th fila y n-th columna es W j , k =2πNkn= W n , k W j , k 2 N k n W n , k
Así, aquí tenemos una simetría adicional W=WTWT¯=W¯=1NW-1 W W W W 1 N W (ya que b k n b k n son ortonormales)

Ahora podemos rescribir la ecuación DTFS en forma de matriz, donde tenemos:

  • f f = señal (vector en N N )
  • c c = coeficientes DTFS (vector en N N )

Tabla 1
"synthesis" f=Wc f W c fn=<c,bn¯> f n c b n
"analysis" c=WT¯f=W¯f c W f W f ck=<f,bk> c k f b k

Encontrar (e invertir) la DFTS es nada mas una multiplicación de matrices.

Todo lo que se encuentra en N N esta limpio: no se utilizan límites, no se usan preguntas de convergencia, nada mas se utilice aritmética de matrices.

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