Scilab Function

fsfirlin - design of FIR, linear phase filters, frequency sampling technique

### Calling Sequence

  `[hst]=fsfirlin(hd,flag)`

### Parameters

- `hd` : vector of desired frequency response samples
- `flag` : is equal to 1 or 2, according to the choice of type 1 or type 2 design
- `hst` : vector giving the approximated continuous response on a dense grid of frequencies

### Description

function for the design of FIR, linear phase filters using the frequency sampling technique

### Examples

    //
    //Example of how to use the fsfirlin macro for the design
    //of an FIR filter by a frequency sampling technique.
    //
    //Two filters are designed : the first (response hst1) with
    //abrupt transitions from 0 to 1 between passbands and stop
    //bands; the second (response hst2) with one sample in each
    //transition band (amplitude 0.5) for smoothing.
    //
    hd=[zeros(1,15) ones(1,10) zeros(1,39)];//desired samples
    hst1=fsfirlin(hd,1);//filter with no sample in the transition
    hd(15)=.5;hd(26)=.5;//samples in the transition bands
    hst2=fsfirlin(hd,1);//corresponding filter
    pas=1/prod(size(hst1))*.5;
    fg=0:pas:.5;//normalized frequencies grid
    plot2d([1 1].*.fg(1:257)',[hst1' hst2']);
    // 2nd example
    hd=[0*ones(1,15) ones(1,10) 0*ones(1,39)];//desired samples
    hst1=fsfirlin(hd,1);//filter with no sample in the transition
    hd(15)=.5;hd(26)=.5;//samples in the transition bands
    hst2=fsfirlin(hd,1);//corresponding filter
    pas=1/prod(size(hst1))*.5;
    fg=0:pas:.5;//normalized frequencies grid
    n=prod(size(hst1))
    plot(fg(1:n),hst1);
    plot2d(fg(1:n)',hst2',[3],"000");

### See Also

`ffilt` , `wfir` ,

### Author

G. Le Vey