iFit/reshape

PURPOSE

SYNOPSIS

DESCRIPTION

 c = reshape(a) : reshape the object Signal

   @iData/reshape function to reshape the object Signal array
     reshape(a, m,n,p,...) reshapes the Signal as an m*n*p*... array
       the number of elements in the initial Signal must be m*n*p*...
     reshape(a, [m n p ...]) is the same thing.

     the resulting object has the elements of the initial one reordered so that
       the final size is that requested.

 input:  a:   object or array (iData)
         m,n,p...: dimensions (integers)
 output: c: object or array (iData)
 ex:     a=iData(peaks(60)); b=reshape(a, 75, 48);

 Version: Nov. 27, 2018
 See also iData, iData/squeeze, iData/size, iData/permute, iData/resize, iData/reducevolume

CROSS-REFERENCE INFORMATION

• 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
• isequal c = isequal(a,b) : full numerical equality comparison of iData objects
• prod s = prod(a,dim) : computes the product of iData objects elements
• setaxis s = setaxis(s, rank, alias, value) : set iData axes
• size size(s) : get iData object size (number of elements)

• camproj s = camproj(a,dim) : projection/radial integration of iData objects elements
• cart2sph s = cart2sph(a,dim) : cartesian to polar/spherical representation of iData objects
• cat s = cat(dim,a,...) : catenate iData objects elements along dimension
• clim b = clim(s,[ cmin cmax ]) : Reduce iData C axis limits
• conv c = conv(a,b) : computes the convolution of iData objects
• copyobj b = copyobj(s) : makes a copy of iData object
• corrcoef c = corrcoef(a,b) : correlation coefficient with an iData object
• cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform
• fft c = fft(a) : computes the Discrete Fourier transform of iData objects
• getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
• iData
• interp [b...] = interp(s, ...) : interpolate iData object
• jacobian [b, j] = jacobian(a, new_axes, 'new_axes_labels'...) : computes the gradient (derivative) of iData objects
• kmeans [b,c] = kmeans(X, k) : k-means clustering of iData object
• meshgrid s = meshgrid(a) : transforms an iData object so that its axes are grids
• pack b = pack(a) : compress iData storage to save memory
• peaks [half_width, center, amplitude, baseline] = peaks(s, dim, m) : peak position and width of iData
• reducevolume h = reducevolume(s, factor) : reduce an iData object size
• rotate s = rotate(a, theta) : computes the rotation of iData objects around the origin
• smooth Z = smooth(Y) : smooth iData objects
• sort s = sort(a,dim) : Sort iData objects axes in ascending or descending order
• squeeze c = squeeze(a) : remove singleton dimensions from iData objects/arrays
• subsasgn b = subsasgn(a,index,b) : iData indexed assignement
• subsref b = subsref(a,s) : iData indexed references
• unique s = unique(a,dim) : set unique iData objects axes with no repetitions
• xlim b = xlim(s,[ xmin xmax ]) : Reduce iData X axis limits
• ylim b = ylim(s,[ ymin ymax ]) : Reduce iData Y axis limits
• zeros s = zeros(s,N,M,P,...) : initialize an iData array
• zlim b = zlim(s,[ zmin zmax ]) : Reduce iData Z axis limits