Abstract class for FIR with float input, float output and float tapsThis is the abstract class for a Finite Impulse Response filter. More...

#include <gr_fir_fff.h>

Inheritance diagram for gr_fir_fff:

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List of all members.

Public Member Functions
	gr_fir_fff ()
	construct new FIR with given taps.
	gr_fir_fff (const std::vector< float > &taps)
virtual	~gr_fir_fff ()
virtual float	filter (const float input[])=0
	compute a single output value.
virtual void	filterN (float output[], const float input[], unsigned long n)=0
	compute an array of N output values.
virtual void	filterNdec (float output[], const float input[], unsigned long n, unsigned decimate)=0
	compute an array of N output values, decimating the input
virtual void	set_taps (const std::vector< float > &taps)
	install `new_taps` as the current taps.
unsigned	ntaps () const
virtual const std::vector< float >	get_taps () const
Protected Attributes
std::vector< float >	d_taps

Detailed Description

Abstract class for FIR with float input, float output and float taps

This is the abstract class for a Finite Impulse Response filter.

The trailing suffix has the form _IOT where I codes the input type, O codes the output type, and T codes the tap type. I,O,T are elements of the set 's' (short), 'f' (float), 'c' (gr_complex), 'i' (int)

Constructor & Destructor Documentation

gr_fir_fff::gr_fir_fff ( ) [inline]

construct new FIR with given taps.

Note that taps must be in forward order, e.g., coefficient 0 is stored in new_taps[0], coefficient 1 is stored in new_taps[1], etc.

gr_fir_fff::gr_fir_fff ( const std::vector< float > & taps ) [inline]

virtual gr_fir_fff::~gr_fir_fff ( ) [virtual]

Member Function Documentation

virtual float gr_fir_fff::filter ( const float input[] ) [pure virtual]

compute a single output value.

input must have ntaps() valid entries. input[0] .. input[ntaps() - 1] are referenced to compute the output value.

Returns:: the filtered input value.

Implemented in gr_fir_fff_generic, gr_fir_fff_altivec, gr_fir_fff_armv7_a, and gr_fir_fff_simd.

virtual void gr_fir_fff::filterN	(	float	output[],
		const float	input[],
		unsigned long	n
	)		`[pure virtual]`

compute an array of N output values.

input must have (n - 1 + ntaps()) valid entries. input[0] .. input[n - 1 + ntaps() - 1] are referenced to compute the output values.

Implemented in gr_fir_fff_generic.

virtual void gr_fir_fff::filterNdec	(	float	output[],
		const float	input[],
		unsigned long	n,
		unsigned	decimate
	)		`[pure virtual]`

compute an array of N output values, decimating the input

input must have (decimate * (n - 1) + ntaps()) valid entries. input[0] .. input[decimate * (n - 1) + ntaps() - 1] are referenced to compute the output values.

Implemented in gr_fir_fff_generic.

virtual const std::vector<float> gr_fir_fff::get_taps ( ) const [inline, virtual]