Description: Matlab Filter Implementation
In this section, we will implement (in matlab) the simplest lowpass filter
$\displaystyle y(n) = x(n) + x(n-1),\ n=1,2,\ldots,N $
(from Eq.$ \,$(1.1)). For the simplest lowpass filter, we had two program listings:
Fig.1.3 listed simplp for filtering one block of data, and
Fig.1.4 listed a main program for testing simplp.
In matlab, there is a built-in function called filter3.3 which will implement simplp as a special case. The syntax is
y = filter (B, A, x)
where
x is the input signal (a vector of any length),
y is the output signal (returned equal in length to x),
A is a vector of filter feedback coefficients, and
B is a vector of filter feedforward coefficients.
The filter function performs the following iteration over the elements of x to implement any causal, finite-order, linear, time-invariant digital filter:3.4
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File list (Check if you may need any files):
tp7-Tp Filtros\Cap5PDS.pdf
..............\convolucion.m
..............\filtros.pdf
..............\filtros2.pdf
..............\filtrosMatlab.pdf
..............\Filtros_IIR.pdf
..............\TEMA2_filtros.pdf
..............\tp07.pdf
..............\tp7ej1.asv
..............\tp7ej1.m
..............\tp7ej2.asv
..............\tp7ej2.m
..............\tp7eje3.m
..............\tp7eje3_.m
..............\tp7eje4.asv
..............\tp7eje4.m
tp7-Tp Filtros
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