The following built-in functions are available and "ARG1", "ARG2" etc.
indicate the required number of arguments to the function: expressions of the
form "ARG1, ..., ARGn" indicate a variable (unlimited) number of arguments.
"ARGi" may be any valid expression.
| ABS(ARG) | absolute value of ARG
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| ACOS(ARG) | arc-cosine of ARG%(in radians)
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| ADD(ARG1,ARG2) | Function for%+$ operand: ARG1 + ARG2
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| AND(ARG1, ARG2) | rounds ARG1 & ARG2, logically AND's result
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| ASIN(ARG) | arc-sine of ARG%(in radians)
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| ATAN(ARG) | arc-tangent of ARG%(in radians)
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| ATAN2(ARG1,ARG2) | arc-tangent of ARG1 / ARG2
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| AVE(ARG) | scalar average of ARG
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| AVI(ARG1,ARG2,ARG3) | scalar average of ARG1 between limits ARG2 - ARG3
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| BEFORE(ARG1,ARG2) | element of ARG1 corresponding to first element in
ARG2 before ARG2 >= 0.0
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| CEIL(ARG) | smallest integer >= ARG
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| CHANGE(ARG1,ARG2) | ARG1(t) - ARG1(t = T0) where T0 = time where ARG2
first > 0.0
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| COS(ARG) | cosine of ARG%(in radians)
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| COSH(ARG | hyperbolic cosine of ARG
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| DEPLEX(ARG1,ARG2,ARG3) | For multi-plexed signal ARG1 with ARG3 threads to it extract the ARG2(th) thread.
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| DIFF(ARG1,ARG2) | differentiates ARG1 wrt ARG2
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| DIV(ARG1,ARG2) | function for / operator: ARG1/ARG2
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| DIVMIN(ARG1,ARG2) | function for /- operator: ARG1/(-ARG2)
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| EXP(ARG) | raises e to the power ARG: e**ARG
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| EXP10(ARG) | raises 10 to the power ARG: 10**ARG
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| FETCHC(ARG1, ... ARGn) | call user C function "ARG1", passes on other ARGi'sNOT AVAILABLE IN IDL-JETDSP
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| FETCHF(ARG1, ... ARGn) | call user FORTRAN routine "ARG1", passes other ARGi's NOT AVAILABLE IN IDL-JETDSP
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| FLOOR(ARG) | largest integer <= ARG
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| GAMMA(ARG) | Gamma function of ARG
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| GEQ(ARG1,ARG2,ARG3) | result = ARG2 if ARG1 >= 0.0; else result = ARG3
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| GMAX(ARG) | scalar maximum value in array ARG
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| GMIN(ARG) | scalar minimum value in array ARG
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| GTH(ARG1,ARG2,ARG3) | result = ARG2 if ARG1 > 0.0; else result = ARG3
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| INDEX(ARG) | creates index array {1,2,3, etc.} based on ARG length
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| INT(ARG1,ARG2) | integrates ARG1 wrt ARG2 using trapezium rule
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| LAST(ARG1,ARG2) | scalar element of ARG1 corresponding to last ARG2 > 0
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| LEQU(ARG1,ARG2) | ARG1 == ARG2 => result = ARG2, else set status vector
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| LGAMMA(ARG) | log-gamma function of ARG
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| LGE(ARG1,ARG2) | ARG1 >= ARG2 => result = ARG2, else set status vector
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| LGT(ARG1,ARG2) | ARG1 > ARG2 => result = ARG2, else set status vector
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| LINE(ARG1,ARG2,ARG3) | straight line from ARG1(t=ARG2) to ARG1(t=ARG3)
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| LLE(ARG1,ARG2) | ARG1 <= ARG2 => result = ARG2, else set status vector
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| LLT(ARG1,ARG2) | ARG1 < ARG2 => result = ARG2, else set status vector
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| LNEQ(ARG1,ARG2) | ARG1 != ARG2 => result = ARG2, else set status vector
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| LOG(ARG) | natural log of ARG
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| LOG10(ARG) | base 10 log of ARG
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| MAKE3D(ARG1, ...,ARGn) | convert input arrays into 3D output array (matrix)
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| MAX(ARG1, ...,ARGn) | maximum value at each point in n input arrays.
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| MIN(ARG1, ...,ARGn) | minimum value at each point in n input arrays.
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| MOD(ARG1,ARG2) | remainder from ARG1 / ARG2
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| MUL(ARG1,ARG2) | function for * operator: ARG1 * ARG2
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| MULMIN(ARG1,ARG2) | function for *- operator: ARG1 * (-ARG2)
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| MU0 | scalar constant mu0
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| NEAR(ARG1,ARG2) | find value in ARG1 where ARG2 closest to zero
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| NEQ(ARG1,ARG2,ARG3) | result = ARG2 if ARG1 != 0.0; else result = ARG3
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| NORM(ARG) | normalises ARG between 0 and 1.
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| NOT(ARG) | rounds ARG and logically complements it
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| OLS(ARG1, ...,ARGn) | least-squares regression fit of ARG1 on ARG2, ..,ARGn
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| OLSN(ARG1, ...,ARGn) | as OLS() above but no constant in the regression fit
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| OR(ARG1,ARG2) | rounds ARG1 & ARG2 and logically OR's them
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| PI | scalar constant pi
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| POW(ARG1,ARG2) | raises ARG1 to the power ARG2: ARG1 ** ARG2
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| POWMIN(ARG1,ARG2) | raises ARG1 to the power -ARG2: ARG1 ** (-ARG2)
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| PT(ARG1,ARG2) | NBI smoothing function. See manual.
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| RAND | returns random number uniformally distributed on 0,1
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| RESID(ARG1, ...,ARGn) | residuals of least-squares regression with a constant of ARG1 on ARG2, ..., ARGn
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| RESIDN(ARG1, ...,ARGn) | as RESID() function but no constant in regression
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| RMAX(ARG) | returns the position of the maximum of the signal
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| RMIN(ARG) | Returns the position of the minimum of the signal
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| SEED(ARG) | Sets ARG as seed for random number generator
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| SIN(ARG) | sine of ARG%(in radians)
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| SINH(ARG) | hyperbolic sine of ARG
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| SLICE(ARG) | finds point in common timebase closest to a point in the actual time vector for ARG
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| SMOOTH(ARG1,ARG2) | smooths ARG1. If ARG2 < 0 a moving average with equal weights is used about a window abs(ARG2) in the common timebase. If ARG2 > 0 triangular weighting is used and ARG2 is window width about timebase points.
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| SMSLICE(ARG,SC1,SC2,SC3,SC4) | for 3D signal ARG returns a 2D signal equal to the average of slices through ARG between SC1 and ABS(SC2), smoothed over window ABS(SC3). If SC4=0, SC1 and SC2 are values, if SC4=1, they are indices.
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| SQRT(ARG) | square root of ARG
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| STDEV(ARG) | standard deviation of ARG
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| SUB(ARG1,ARG2) | function for - operator: ARG1 - ARG2
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| SWAP(ARG) | transpose 3D ARG: X slices become T & vice versa
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| TAN(ARG) | tangent of ARG%(in radians)
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| TANH(ARG) | hyperbolic tangent of ARG
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| TNSLICE(ARG1,ARG2) | for 3D signal ARG1 extracts the ARG2(th) time slice
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| TRSLICE(ARG1,ARG2) | for 3D signal ARG1 extracts timeslice closest to ARG2
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| VAL(ARG1,ARG2) | value(s) of ARG1 at position(s) given in ARG2
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| XNSLICE(ARG1,ARG2) | for 3D signal ARG1 extracts the ARG2(th) X slice
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| XOR(ARG1,ARG2) | rounds ARG1 & ARG2 and logically exclusive OR's them
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| XRSLICE(ARG1,ARG2) | for 3D signal ARG1 extracts X slice closest to ARG2
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JETDSP Signal Processing