Data Manipulation Functions

Data manipulation functions change the data in some way, such as scaling or flipping it. The functions available are

>> wnew = shift(w, xshift)
>> wwnew = shift_x(ww, xshift)
>> wwnew = shift_y(ww, yshift)
>> wwnew = shift_xy(ww, xshift, yshift)
>> wnew = scale(w, factor)
>> wwnew = scale_x(ww, factor)
>> wwnew = scale_y(ww, factor)
>> wnew = flip(w)
>> wwnew = flip_x(ww)
>> wwnew = flip_y(ww)

Shift Functions

These functions add a value to one of the independent variable arrays (x or y), leaving any related data (such as the signal data) untouched. For instance if an x array, [10, 20, 30, 40, 50], is shifted by 2 the output x array will be [12, 22, 32, 42, 52].

 >> shift_x(ww, xshift)
>> shift_y(ww,yshift)
>> shift_xy(ww,xshift,yshift)

• Input is an IXTdataset_2d object
• Output is an IXTdataset_2d object
• Shifts x data by amount xshift
• Shifts y data by amount yshift

>> shift(w, xshift)

• Input is an IXTdataset_1d object
• Output is an IXTdataset_1d object
• Shifts x data by amount xshift

Example:

>> wout = shift_x(ww, 4)

Every x value in wout will have 4 added to them

Scale Functions

Multiplies one of the independent variable arrays (x or y) by a constant. These functions