You are here : matlabSignal Processingovershoot

overshoot() - Signal Processing

OS = overshoot(X) returns
the greatest absolute deviations larger than the final state levels
of each transition in the bilevel waveform, X.
The overshoots, OS, are expressed as a percentage
of the difference between the state levels. The length of OS corresponds
to the number of transitions detected in the input signal. The sample
instants in X correspond to the vector indices.
To determine the transitions, overshoot estimates
the state levels of the input waveform by a histogram method. overshoot identifies
all intervals which cross the upper-state boundary of the low state
and the lower-state boundary of the high state. The low-state and
high-state boundaries are expressed as the state level plus or minus
a multiple of the difference between the state levels. See State-Level Tolerances.OS = overshoot(X,FS) specifies
the sampling frequency in hertz. The sampling frequency determines
the sample instants corresponding to the elements in X.
The first sample instant in X corresponds to t=0.OS = overshoot(X,T) specifies
the sample instants, T, as a vector with the
same number of elements as X.[OS,OSLEV,OSINST]
= overshoot(...) returns the levels, OSLEV,
and sample instants,OSINST, of the overshoots
for each transition.[...] = overshoot(...,Name,Value) returns
the greatest deviations larger than the final state level with additional
options specified by one or more Name,Value pair
arguments.overshoot(...) plots the bilevel waveform
and marks the location of the overshoot of each transition as well
as the lower and upper reference-level instants and the associated
reference levels. The state levels and      associated lower and upper-state
boundaries are also plotted.


Syntax

OS = overshoot(X)OS = overshoot(X,FS)OS = overshoot(X,T)[OS,OSLEV,OSINST]
= overshoot(...)[...] = overshoot(...,Name,Value)overshoot(...)


Example

Overshoot Percentage in Posttransition Aberration RegionOpen This Example
Determine the maximum percent overshoot relative to the high-state level in a 2.3 V clock waveform.
Load the 2.3 V clock data. Determine the maximum percent overshoot of the transition. Determine also the level and sample instant of the overshoot. In this example, the maximum overshoot in the posttransition region occurs near index 22.load('transitionex.mat','x')

[oo,lv,nst] = overshoot(x)

oo =

    6.1798


lv =

    2.4276


nst =

    22

Plot the waveform. Annotate the overshoot and the corresponding sample instant.overshoot(x);

ax = gca;
ax.XTick = sort([ax.XTick nst]);

Overshoot Percentage, Levels, and Time Instant in Posttransition Aberration RegionOpen This Example
Determine the maximum percent overshoot relative to the high-state level, the level of the overshoot, and the sample instant in a 2.3 V clock waveform.
Load the 2.3 V clock data with sampling instants. The clock data are sampled at 4 MHz.load('transitionex.mat','x','t')
Determine the maximum percent overshoot, the level of the overshoot in volts, and the time instant where the maximum overshoot occurs. Plot the result.[os,oslev,osinst] = overshoot(x,t)

overshoot(x,t);

os =

    6.1798


oslev =

    2.4276


osinst =

   5.2500e-06


Overshoot Percentage, Levels, and Time Instant in Pretransition Aberration RegionOpen This Example
Determine the maximum percent overshoot relative to the low-state level, the level of the overshoot, and the sample instant in a 2.3 V clock waveform. Specify the 'Region' as 'Preshoot' to output pretransition metrics.
Load the 2.3 V clock data with sampling instants. The clock data are sampled at 4 MHz.load('transitionex.mat','x','t')
Determine the maximum percent overshoot, the level of the overshoot in volts, and the sampling instant where the maximum overshoot occurs. Plot the result.[os,oslev,osinst] = overshoot(x,t,'Region','Preshoot')

overshoot(x,t,'Region','Preshoot');

os =

    4.8050


oslev =

    0.1020


osinst =

   4.7500e-06


Output / Return Value


Limitations


Alternatives / See Also


Reference