scaleshiftdata.m

回声状态神经网络(ESN)是一种性能优异的递归神经网络

function scaledShiftedData = scaleshiftData(data, scalings, shifts)
% First shifts data by shifts, then scales by scalings.
%
% Input args:
%
% data: a dataset, either real-valued array of size N by dim, or a cell array of size
%    [nrSamples, 1], where the i-th cell is a real-valued array of size N_i
%    by dim.
% scalings: a row vector of reals of size [1 dim]
% shifts: a row vector of reals of size [1 dim]
%
% Outputs:
%
% scaledShiftedData: a dataset of same size as data, obtained from data by  
%   column-wise shifting-scaling: 
%   newColumn = (oldColumn + shiftconstant) * scalefactor
%
% Created by H. Jaeger, June 21, 2006

if isnumeric(data)
    scaledShiftedData = data;
    dim = size(data,2);    
    for d = 1:dim        
        scaledShiftedData(:,d) = (data(:,d) + shifts(1,d)) * scalings(1,d);         
    end
elseif iscell(data)
    dim = size(data{1,1},2);
    nrSamples = size(data,1);
    %check if all cells have same dim
    for n = 1:nrSamples
        if size(data{n,1},2) ~= dim
            error('all cells must have same row dim');
        end
    end
    scaledShiftedData = data;    
    for d = 1:dim        
        for n = 1:nrSamples
            scaledShiftedData{n,1}(:,d) = (data{n,1}(:,d) + shifts(1,d)) * scalings(1,d);  
        end        
    end   
else error('input data must be array or cell structure');
end