Page History

Chapter 1

Weblab is a remote microelectronics laboratory. It allows users to measure the current-voltage characteristics of transistors and other devices at any time, from any physical location, using a Java-enabled web browser.

...

• ABS(exp) returns the absolute value of exp.
• AT(exp1, exp2) returns the value of exp1 at the index number specified by exp2. If exp2 is non-integer, the linear interpolated value of exp1 will be returned.
• AVG(exp) returns the average value of sweep data or sampling data in exp. For subordinate sweep measurement, this function returns the average value of the primary sweep for the secondary sweep step.
• COND(exp1, exp2, exp3, exp4) does the following:
  • If exp1<exp2, returns exp3.
  • If exp1 > exp2 or exp1 = exp2, returns exp4.
• DELTA(exp) returns the difference of exp. The difference is defined as:
  where
  • : difference for measurement index number n
  • a~n~ : value of exp for measurement index number n
  • N : number of sweep steps or number of samples
    for each primary sweep, use same definition as for basic sweep measurement and assume measurement index number 1 for the first step of each primary sweep. If exp is a data variable for a secondary sweep source, this function returns the sweep step value of the secondary sweep.
• DIFF(exp1, exp2) returns the differential coefficient of exp1 by exp2. The differential coefficient is defined as:
  ** y' _n * : differential coefficient for measurement index number *n
  • y _n * : value of exp1 for measurement index number *n
  • x _n * : value of exp2 for measurement index number *n
  • N : number of sweep steps or number of samples
    For each primary sweep, use same definition as for basic sweep measurement and assume measurement index number 1 for the first step of each primary sweep.
• EXP(exp) raises e to the power of exp.
• INTEG(exp1, exp2) performs numerical integration of exp1 by exp2. This operation is defined as:
  
  where
  • : integral of exp ₁ for measurement index number n
  • y _i * : value of *exp ₁ for measurement index number i
  • x _i * : value of *exp ₂ for measurement index number i
    If there are some invalid values in exp1 and exp2, the invalid values are ignored for the calculation. For each primary sweep, use same definition as for basic sweep measurement and assume measurement index number 1 for the first step of each primary sweep.
• LGT(exp) returns the logarithm (base 10) of exp.
• LOG(exp) returns the logarithm (base $e$) of exp.
• MAVG(exp1, exp2) returns the moving average value of exp1. exp2 specifies how many measurement points to use for average. This operation is defined as:
  
  where
  • : moving average of exp1 for measurement index number n
  • x _i : value of exp1 for measurement index number i
  • r : value of exp2
  • N : number of sweep steps or number of samples
    If there are some invalid values in exp1, the invalid values are ignored for the calculation. For each primary sweep, use same definition as for basic sweep measurement and assume measurement index number 1 for the first step of each primary sweep.
• MAX(exp) returns the maximum sweep or sampling value in exp. For subordinate sweep measurement, this function returns the maximum
  value of the primary sweep for the secondary sweep step. If there are invalid values in exp, invalid values are ignored.
• MIN(exp) returns the minimum sweep or sampling value in exp. For subordinate sweep measurement, this function returns the minimum
  value of the primary sweep for the secondary sweep step. If there are invalid values in exp, invalid values are ignored.
• SQRT(exp) returns the square root of exp.

...