c = deconv(a,b) : computes the deconvolution of iData objects @iData/deconv function to compute the deconvolution of data sets (FFT based). When used with a single scalar value, it is used as a width to build a gaussian function, with same width along all dimensions When used with a vector of same length as the object dimension, a nD gaussian function with width as vector elements along each diemsions The second argument 'b' should better be centred, normalised, without background. input: a: object or array (iData or numeric) b: object or array (iData or numeric or scalar) shape: optional shape of the return value deconv Performs an FFT deconvolution. deconv_iter Performs an iterative deconvolution. 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)). 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 'deconv same' output: c: object or array (iData) ex: c=deconv(a,b); c=deconv(a,b, 'fft same pad background center normalize'); Version: Aug. 22, 2017 See also iData, iData/times, iData/convn, iData/fft, iData/xcorr, fconv, fconvn, fxcorr, conv, deconv

- double d = double(s) : convert iData into doubles
- end b = end(s,index,n) : end value for iData objects
- getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
- isempty isempty(s) : true for empty iData object
- isscalar b = isscalar(s) : True for scalar iData objects
- mean b = mean(s, dim) : mean value of iData object
- ndims d = ndims(s) : get the dimensionality of iData object
- strfind [match, field]=strfind(s, pattern, option) : search for pattern in iData

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