basic_dsp 0.2.1

Digital signal processing based on 1xN (one times N) or Nx1 vectors in real or complex number space. Vectors come with basic arithmetic, convolution, Fourier transformation and interpolation operations.
Documentation 
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#![feature(test)]
#![feature(box_syntax)] 
extern crate test;
extern crate basic_dsp;
extern crate num;

pub mod tools;

#[cfg(test)]
mod bench {
	use test::Bencher;
	use basic_dsp::*;
	use num::complex::Complex32;
    use tools::{VectorBox, Size};
    use basic_dsp::conv_types::*;
    
    #[bench]
	fn complex_offset_32s_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v|  { v.complex_offset(Complex32::new(2.0, -5.0)) } )
		});
	}
	
	#[bench]
	fn complex_scale_32s_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v|  { v.complex_scale(Complex32::new(-2.0, 2.0)) } )
		});
	}
    
    #[bench]
	fn complex_conj_32s_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v|  { v.complex_conj() } )
		});
	}
    
    #[bench]
	fn complex_vector_multiplication_32s_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v| {
                let len = v.points(); 
                let operand = ComplexTimeVector32::from_constant(Complex32::new(0.0, 0.0), len);
                v.multiply_vector(&operand) 
            } )
		});
	}
    
    #[bench]
	fn convolve_vector_with_signal_32s_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v| {
                let sinc: SincFunction<f32> = SincFunction::new();
                let table = RealTimeLinearTableLookup::<f32>::from_conv_function(&sinc as &RealImpulseResponse<f32>, 0.2, 5);
                v.convolve(&table as &RealImpulseResponse<f32>, 0.5, 10)
            } )
		});
	}
    
    #[bench]
	fn convolve_vector_with_vector_32t_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Tiny);
		b.iter(|| {
			vector.execute_res(|v| {
                let len = v.points(); 
                let operand = ComplexTimeVector32::from_constant(Complex32::new(0.0, 0.0), len);
                v.convolve_vector(&operand)
            } )
		});
	}
    
    #[bench]
	fn convolve_vector_with_smaller_vector_32s_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v| {
                let operand = ComplexTimeVector32::from_constant(Complex32::new(0.0, 0.0), 100);
                v.convolve_vector(&operand)
            } )
		});
	}
    
    #[bench]
	fn interpolatei_32t_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v| {
                let len = v.len();
                let mut v = v.interpolatei(&RaisedCosineFunction::new(0.35), 10).unwrap();
                v.set_len(len);
                Ok(v)
            } )
		});
	}
    
    #[bench]
	fn interpolatef_32t_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v| {
                let len = v.len();
                let mut v = v.interpolatef(&RaisedCosineFunction::new(0.35), 10.0, 0.0, 10).unwrap();
                v.set_len(len);
                Ok(v)
            } )
		});
	}
    
    #[bench]
	fn interpolatef_delayed_32t_benchmark(b: &mut Bencher)
	{
		let mut vector = VectorBox::<ComplexTimeVector32>::new(Size::Small);
		b.iter(|| {
			vector.execute_res(|v| {
                let len = v.len();
                let mut v = v.interpolatef(&RaisedCosineFunction::new(0.35), 10.0, 0.5, 10).unwrap();
                v.set_len(len);
                Ok(v)
            } )
		});
	}
}