Function: lconv

LCONV  Linear convolution
  Usage:  h=lconv(f,g);

  LCONV(f,g) computes the linear convolution of f and g. The linear 
  convolution is given by

              Lh-1
     h(l+1) = sum f(k+1) * g(l-k+1)
              k=0

  with L_{h} = L_{f} + L_{g} - 1 where L_{f} and L_{g} are the lengths of f and g, 
  respectively.

  LCONV(f,g,'r') computes the linear convolution of f and g where g is reversed.
  This type of convolution is also known as linear cross-correlation and is given by

              Lh-1
     h(l+1) = sum f(k+1) * conj(g(k-l+1))
              k=0

  LCONV(f,g,'rr') computes the alternative where both f and g are
  reversed given by

              Lh-1
     h(l+1) = sum conj(f(-k+1)) * conj(g(k-l+1))
              k=0
    
  In the above formulas, l-k, k-l and -k are computed modulo L_{h}.

  The input arrays f and g can be 1D vectors or one of them can be
  a multidimensional array. In either case, the convolution is performed
  along columns with row vectors transformed to columns.

Url: http://ltfat.github.io/doc/fourier/lconv.html

See also: pconv.

Package: ltfat