eldo_user

Statistical Experimental Design and Analysis
Example of Conducting an Experiment
.PARAMDEX
+ EM(MOPA,TOX) SIG=2.5
+ EM(MIPC,TOX) SIG=2.5
+ EM(MIPA,TOX) SIG=2.5
+ EM(MPN0E,TOX) SIG=2.5
+ EM(MPN4A,TOX) SIG=2.5
+ EM(MPN3A,TOX) SIG=2.5
+ EM(MPN2A,TOX) SIG=2.5
+ EM(MPN1A,TOX) SIG=2.5
+ EM(MONA,TOX) SIG=2.5
+ EM(MINC,TOX) SIG=2.5
+ EM(MINA,TOX) SIG=2.5
+ EM(MNN0D,TOX) SIG=2.5
+ EM(MNN4C,TOX) SIG=2.5
+ EM(MNN4B,TOX) SIG=2.5
These statements define a list of independent factors, one for each device. Eldo acts as if private
models were created for each device leaving the original model unchanged.
Related Topics
Example of Conducting an Experiment
Example of Analysis Results
Example of Conducting an Experiment
This netlist is extracted from the testcase filter.cir (available in the directory:
$MGC_AMS_HOME/examples/dex/). Consider the netlist:
* CIRCUIT
V1 1 0 DC 0 AC 1
R1 1 2 'R1 + D_R1'
R3 2 0 'R3 + D_R3'
R2 OUT INN 'R2 + D_R2'
C2 2 INN 'C + D_C'
C3 2 OUT 'C + D_C'
Y1 OPAMP1 0 INN OUT 0 PARAM: P1='P1 + D_P1'
The designable control parameters are defined by:
* DETERMINISTIC PARAMETERS
.PARAM R1 = 159K R2 = 3.18MEG R3 = 79.5
+ P1 = 10
The statistical noise parameters that follow the normal distribution and are defined by:
* NOISE PARAMETERS
.PARAM D_R1 = AGAUSS( 0, 10.6K, 1)
.PARAM D_R2 = AGAUSS( 0, 0.212MEG, 1)
.PARAM D_R3 = AGAUSS( 0, 5.30, 1)
.PARAM D_P1 = AGAUSS( 0, 0.667U, 1)
The response factors are defined within the following statements:
Eldo® User's Manual, 15.3 579