10/01 - Vectors & Functions: Difference between revisions

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We could sample a continuous function every T seconds, creating a "bar graph".
We could sample a continuous function every T seconds, creating a "bar graph".


<math> f(t)= \sum_{i=0}^{N-1} f(i T) \cdot p(t - i T)</math>
<math> f(t)= \sum_{i=0}^{N-1} \underbrace{f(i T)}_{coefficients} \cdot \underbrace{p(t - i T)}_{basis functions}</math>
*<math> f (i T) \,\!</math> are the coefficients
*Where <math> p(t) \,\! </math> is a rectangle 1 unit high and T units wide
*<math> p(t - i T) \,\!</math> are the basis functions, where <math> p(t) \,\! </math> is a rectangle 1 unit high and T units wide


In an effort to make this more exact, will will continue to shrink the rectangle down to the Dirac Delta function, <math> \delta \,\!</math>
In an effort to make this more exact, will will continue to shrink the rectangle down to the Dirac Delta function, <math> \delta \,\!</math>

Revision as of 13:49, 9 November 2008

Vectors & Functions

  • How to related the vector v to the sampling?

We could sample a continuous function every T seconds, creating a "bar graph".

f(t)=i=0N1f(iT)coefficientsp(tiT)basisfunctions

  • Where p(t) is a rectangle 1 unit high and T units wide

In an effort to make this more exact, will will continue to shrink the rectangle down to the Dirac Delta function, δ

  • δ(x)={+,x=00,x0
  • δ(x)dx=1.

By using the Dirac Delta function the summation becomes an integral

f(t)=f(u)δ(tu)du

Changing from one orthogonal Basis Functions to another

  • explain b_j