Feed-forward/backward filtering (1D)

Functions
array	fir (int nb, const float *h_b, const array &x)
	Finite impulse response filtering.
array	fir (const array &b, const array &x)
	Finite impulse response filtering.
array	iir (int nb, const float *h_b, int na, const float *h_a, const array &x)
	Infinite impulse response filter (transposed Direct Form II implementation).
array	iir (const array &b, const array &a, const array &x)
	Infinite impulse response filter (transposed Direct Form II implementation).

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Function Documentation

array af::fir	(	int	nb,
		const float *	h_b,
		const array &	x
	)

Finite impulse response filtering.

   y[n-1] = b[0]*x[n-1] + b[1]*x[n-2] + ... + b[nb-1]*x[n-nb-1]
   

Parameters:

[in]	nb	length of h_b
[in]	h_b	host-array of filter coefficients
[in]	x

Returns:

filtered signal (y) same size as x

array af::fir	(	const array &	b,
		const array &	x
	)

Finite impulse response filtering.

   y[n-1] = b[0]*x[n-1] + b[1]*x[n-2] + ... + b[nb-1]*x[n-nb-1]
   

Parameters:

[in]	b	filter
[in]	x	signal

Returns:

filtered signal (y) same size as x

array af::iir	(	int	nb,
		const float *	h_b,
		int	na,
		const float *	h_a,
		const array &	x
	)

Infinite impulse response filter (transposed Direct Form II implementation).

If a is scalar this defaults to the faster Finite Impulse Response, i.e. convolve().

   a[0]*y[n-1] = b[0]*x[n-1] + b[1]*x[n-2] + ... + b[nb-1]*x[n-nb-1]
                             - a[1]*y[n-2] - ... - a[na-1]*y[n-na-1]
   

Parameters:

[in]	nb	length of h_b
[in]	h_b	host-vector feedforward filter coefficients
[in]	na	length of h_a
[in]	h_a	host-vector feedback filter coefficients
[in]	x

Returns:

filtered signal (y) same size as x

array af::iir	(	const array &	b,
		const array &	a,
		const array &	x
	)

Infinite impulse response filter (transposed Direct Form II implementation).

If a is scalar this defaults to the faster Finite Impulse Response, i.e. convolve().

   a[0]*y[n-1] = b[0]*x[n-1] + b[1]*x[n-2] + ... + b[nb-1]*x[n-nb-1]
                             - a[1]*y[n-2] - ... - a[na-1]*y[n-na-1]
   

Parameters:

[in]	b	feedforward filter coefficients
[in]	a	feedback filter coefficients
[in]	x

Returns:

filtered signal (y) same size as x