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ABS

Computes absolute value of data-sets, Works only on real data-sets (itype=0)
see also : MODULUS REAL

ABSMAX

Absolute factor to which scale refers to for displaying and plotting. Usually ABSMAX holds the largest point of the data-set, but you can set it by hand in order to do absolute plots. ABSMAX is recomputed whenever the data is changed. You can force the ABSMAX to be recomputed by setting it to zero. You can also hampers the recomputation of absmax (which can be VERY long (on 3D for instance)) by setting it to a standard value at the end of the command line
see also : MAX SCALE

ADD

ADD name_of_file -or- ADDC name_of_file permits to add to the current data-set the content of the file name_of_file, which is in standard format. Works for both 1D, 2D and 3D data-sets.
see also : ADDDATA ADDH MULT READ

ADDBASE

ADDBASE constant Removes a constant to the data. The default value is the value of SHIFT (computed by EVALN).
see also : EVALN SHIFT

ADDC

Equivalent to ADD
see also : ADD

ADDDATA

Add the contents of the DATA buffer to the current data-set. Equivalent to ADD but in-memory.
see also : ADD ADDH MAXDATA MINDATA MULT MULTDATA

ADDH

ADDH name_of_file Same as ADD, with H format files.
see also : ADD ADDDATA CONCAT MULT

ADDNOISE

addnoise noise seed add to the current data-set (1D, 2D, 3D) a white-gaussian, characterized by its level noise, and the random generator seed.
see also : EVALN SIMU SIMUN

aide

HELP (COMMAND) Type help Name_of_item to get info about a specific command. H can be used instead of HELP. Use apropos topic, to find commands name related to a specific topic. Use help primer for a first introduction.
see also : apropos

ALERT

alert text Creates a graphic alert box displaying the text. User must click in the alert box to continue. Works only if the graphic mode has been intialzed by isuing, at least once, a graphic command.
see also : ERROR PRINT

ALGO

Context used to describe the current algorithm Algo is a number of the form abc where a, b and, c are the decimal digits. c: 0 Gull and Daniel equation for Entropy 1 GIFA equation for Entropy 2 steepest descent equation is used 3 conjugate gradient is used b: 0 single step iteration 1 line-maximization using parabolic fit. 2 : line-maximization using bracketing before parabolic fit. a: 0 no Wu correction 1 Wu correction is applied.
see also : conjg gad gifa MAXENT

ALPHA

alpha a This context is the angle along the OZ axis by which the cube is rotated during a 3D display with the DISP3D/REF3D set of commands
see also : BETA DISP3D GAMA

APPLY

APPLY what_to_apply Apply a windowing function to the data-set. You can apply : FILTER : applies the filter used during MaxEnt iterations, depends on LB, GB, JCONS, FILTER WINDOW : applies the window used during MaxEnt iterations.
see also : FILTER GB GET JCONS LB PUT SHOW WINDOW

APPROX

Used in the BCORR 3 module, to choose the way the baseline is estimated. 0 : with ITERMA2 times a moving average filtering on a window of size WINMA2. 1 : with a Legendre polynomial approximation of degree DEGRE. +10 : with a linear interpolation of signal before approximation. +100 : with an 'elastic effect' that is a rude way to prevent from burying the weak lines.
see also : BCORR BCORRP?

apropos

apropos topic for GIFA on_line help Search the string "topic" in all the help files available
see also : HELP

apsl

automatic 1D phase correction APSL method A.Heuer J.Magn.Reson. 91 p241 (1991) uses the data buffer you may want to adapt : s_wdth : ration of line width to spectral width used for computing phases p_wdth : ration of line width to spectral width used for broadening for peak picking npk : minimum number of peaks needed for phasing nfrst : the number of peaks used for first approx
see also : apsl_cp PH PHASE

apsl_cp

apsl_cp i sz computes the phase of the peak centered on i, using +/-sz points the phase of the peak is returned as a global variable called $returned between -180 and 180 i has to be odd ! used as a routine by the macro apsl
see also : apsl

AR->DT

AR->DT size n Extend the data-set up to size points long by predicting the missing data points, using linear prediction. n = 1 : following points predicted -> forward prediction n = 2 : previous points predicted -> backward prediction
see also : BURG DT->AR ORDER SVD->AR

AR->RT

AR->RT n Solve the prediction-error polynomial, calculated from the autoregressive coefficients. This is the third step of the LP-SVD method. n = 1 : forward coefficients are used to extracted forward roots n = 2 : backward coefficients are used to extracted backward roots n = 3 : both set of roots are computed
see also : AR->RT2 ARLIST ORDER RT->AR SVD->AR

AR->RT2

AR->RT2 n Equivalent to AR->RT, but seems to be more stable for very large polynomial.
see also : ARLIST ORDER RT->AR SVD->AR

AR->SP

Calculate the modulus of spectrum from the autoregressive Burg coefficients. This is the so-called Burg spectrum, (sometimes unfortunately called mem spectrum). The spectrum is computed to the size of the current 1D buffer size.
see also : DT->AR ORDER

ARLIST

ARLIST n i j list the autoregressive coefficients from entry i to entry j. n = 1 : forward coefficients n = 2 : backward coefficients
see also : AR->DT AR->RT RT->AR

AXIS3D

axis3d fx where x is 1, 2, 3, 12, 13, or 123 This context holds the focal length that will be used for computing a 3D display with the DISP3D/REF3D set of commands
see also : CHECK3D DISP3D REF3D
Modified: Wed Apr 3 17:00:00 1996 GMT
Page accessed 412 times since Tue Mar 15 13:50:37 2005 GMT