Trait ConvolutionOps

pub trait ConvolutionOps<A, S, T, N, D>
where
    S: ToSliceMut<T>,
    T: RealNumber,
    N: NumberSpace,
    D: Domain,
{
    // Required method
    fn convolve_signal<B>(
        &mut self,
        buffer: &mut B,
        impulse_response: &A,
    ) -> Result<(), ErrorReason>
       where B: for<'a> Buffer<'a, S, T>;
}

Provides a convolution operation for types which at some point are slice based.

Required Methods

fn convolve_signal<B>( &mut self, buffer: &mut B, impulse_response: &A, ) -> Result<(), ErrorReason>

where B: for<'a> Buffer<'a, S, T>,

Convolves self with the convolution function impulse_response. For performance it’s recommended to use multiply both vectors in frequency domain instead of this operation.

Failures

TransRes may report the following ErrorReason members:

1. VectorMustBeInTimeDomain: if self is in frequency domain.
2. VectorMetaDataMustAgree: in case self and impulse_response are not in the same number space and same domain.
3. InvalidArgumentLength: if self.points() < impulse_response.points().

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors

impl<'a, S, T, N, D> ConvolutionOps<Vec<&'a Vec<&'a DspVec<S, T, N, D>>>, S, T, N, D> for MatrixMxN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain,

impl<'a, S, T, N, D> ConvolutionOps<[[&'a DspVec<S, T, N, D>; 2]; 2], S, T, N, D> for Matrix2xN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain,

impl<'a, S, T, N, D> ConvolutionOps<[[&'a DspVec<S, T, N, D>; 3]; 3], S, T, N, D> for Matrix3xN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain,

impl<'a, S, T, N, D> ConvolutionOps<[[&'a DspVec<S, T, N, D>; 4]; 4], S, T, N, D> for Matrix4xN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain,

impl<S, SO, T, N, D, NO, DO> ConvolutionOps<DspVec<SO, T, NO, DO>, S, T, NO, DO> for DspVec<S, T, N, D>

where S: ToSliceMut<T>, SO: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: TimeDomain, DspVec<S, T, N, D>: TimeToFrequencyDomainOperations<S, T> + Clone, DspVec<SO, T, N, D>: TimeToFrequencyDomainOperations<SO, T> + Clone, NO: PosEq<N> + NumberSpace, DO: TimeDomain,

impl<S, T, N, D> ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D> for Matrix2xN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain, DspVec<S, T, N, D>: ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D>,

impl<S, T, N, D> ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D> for Matrix3xN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain, DspVec<S, T, N, D>: ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D>,

impl<S, T, N, D> ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D> for Matrix4xN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain, DspVec<S, T, N, D>: ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D>,

impl<S, T, N, D> ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D> for MatrixMxN<DspVec<S, T, N, D>, S, T>

where S: ToSliceMut<T>, T: RealNumber, N: NumberSpace, D: Domain, DspVec<S, T, N, D>: ConvolutionOps<DspVec<S, T, N, D>, S, T, N, D>,