Description |
y = sinc_filter(x,Wn)
y = sinc_filter(x,Wn,N)
y = sinc_filter(x,Wn,N,dim)
y = sinc_filter(x,Wn,[],dim)
y = sinc_filter(x,Wn) applies a near-ideal low-pass or band-pass brickwall filter to the array x, operating along the first non-singleton dimension (e.g. down the columns of a matrix). The cutoff frequency/frequencies are specified in Wn. If Wn is a scalar, then Wn specifies the low-pass cutoff frequency. If Wn is a two-element vector, then Wn specifies the band-pass interval. Wn must be 0.0 < Wn < 1.0, with 1.0 corresponding to half the sample rate.
The filtering is performed by FFT-based convolution of x with the sinc kernel.
y = sinc_filter(x,Wn,N) allows the filter length to be specified. The default value is N=1025. The filter length is doubled in the band-pass case. In either case, if N is even the final filter length will be N+1.
y = sinc_filter(x,Wn,N,dim) applies the specified filter along the dimension dim.
y = sinc_filter(x,Wn,[],dim) applies the specified filter along the dimension dim using the default filter length. |