c = conv(a,b) : computes the convolution of iFunc models @iFunc/conv function to compute the convolution of models (FFT based). A deconvolution mode is also possible. When used with a single scalar value, it is used as a width to build a gaussian function. when one of the argument is a character string, it is used as-is in the operator expression. conv(a, 'tas') convolves the 'a' model with the TAS resolution function computed from ResLibCal. The dispersion is either a 2D model S(|q|,w) or a 4D model S(qh,qk,ql,w). The returned model can then further be used to fit its parameters to match a measurement scan. input: a: object or array (iFunc or numeric) b: object or array (iFunc or numeric) shape: optional shape of the return value full Returns the full two-dimensional convolution. same Returns the central part of the convolution of the same size as a. valid Returns only those parts of the convolution that are computed without the zero-padded edges. Using this option, y has size [ma-mb+1,na-nb+1] when all(size(a) >= size(b)). deconv Performs an FFT deconvolution. pad Pads the 'a' signal by replicating its starting/ending values in order to minimize the convolution side effects center Centers the 'b' filter so that convolution does not shift the 'a' signal. normalize Normalizes the 'b' filter so that the convolution does not change the 'a' signal integral. background Remove the background from the filter 'b' (subtracts the minimal value) Default shape is 'same' output: c: object or array (iFunc) ex: c=conv(a,b); c=conv(a,b, 'same pad background center normalize'); Version: Nov. 26, 2018 See also iFunc, iFunc/convn, iFunc/xcorr, fconv, fconvn, fxcorr, ResLibCal

- convn c = convn(a,b) : computes the convolution of an iFunc object with a response function
- isfield b = isfield(s, field) : check existence of field/parameter in model objects

- convn c = convn(a,b) : computes the convolution of an iFunc object with a response function
- xcorr c = xcorr(a,b) : computes the correlation of iFunc models

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