Struct futuresdr::blocks::IirBuilder

pub struct IirBuilder {}

Build an Iir filter.

This filter consumes two sets of taps, a_taps and b_taps. a_taps are the feedback taps, and b_taps are the feed-forward taps. If there are n feed-forward taps and m feed-back taps, the equation is:

y(k) = x[k] * b[0] + x[k-1] * b[1] + ... + x[k-n] * b[n]
       + x[k-1] * a[0] + x[k-2] * a[1] + ... + x[k-m-1] * a[m]

Uses the futuredsp to pick the optimal IIR implementation for the given constraints.

Note that there must be an implementation of futuredsp::TapsAccessor for the taps objects you pass in, see docs for details. Both the a_taps and the b_taps objects must be the same type.

Additionally, there must be an available core (implementation of futuredsp::StatefulUnaryKernel) available for the specified SampleType and TapsType. See the futuredsp docs for available implementations.

Inputs

in: Input

Outputs

out: Output

Usage

use futuresdr::blocks::IirBuilder;
use futuresdr::runtime::Flowgraph;

let mut fg = Flowgraph::new();

let iir = fg.add_block(IirBuilder::new::<f32, f32, f32, [f32; 3]>([1.0, 2.0, 3.0], [4.0, 5.0, 6.0]));

Implementations

impl IirBuilder

pub fn new<InputType, OutputType, TapType, Taps>( a_taps: Taps, b_taps: Taps ) -> Blockwhere InputType: 'static + Send + Clone, OutputType: 'static + Send + Clone, TapType: 'static + Send, Taps: 'static + TapsAccessor + Send, IirKernel<InputType, OutputType, Taps>: StatefulUnaryKernel<InputType, OutputType> + Send,

Create IIR filter builder