Generate histogram of input or sequence of inputs
Statistics
visionstatistics
The 2D Histogram block computes the frequency distribution
of the elements in the input. You must use the Find the
histogram over parameter to specify whether the block computes
the histogram for Each column
of the input
or of the Entire input
. The Running
histogram check box allows you to select between basic
operation and running operation, as described below.
The block distributes the elements of the input into the number
of discrete bins specified by the Number of bins parameter, n
.
y = hist(u,n) % Equivalent MATLAB code
The 2D Histogram block sorts all complex input values into bins according to their magnitude.
The histogram value for a given bin represents the frequency of occurrence of the input values bracketed by that bin. You specify the upper boundary of the highestvalued bin in the Upper limit of histogram parameter, B_{M}, and the lower boundary of the lowestvalued bin in the Lower limit of histogram parameter, B_{m}. The bins have equal width of
$$\Delta =\frac{{B}_{M}{B}_{m}}{n}$$
and centers located at
$${B}_{m}+\left(k+\frac{1}{2}\right)\Delta \begin{array}{cccc}& & & k=0,1,2,\mathrm{...},n1\end{array}$$
Input values that fall on the border between two bins are placed into the lower valued bin; that is, each bin includes its upper boundary. For example, a bin of width 4 centered on the value 5 contains the input value 7, but not the input value 3. Input values greater than the Upper limit of histogram parameter or less than Lower limit of histogram parameter are placed into the highest valued or lowest valued bin, respectively.
The values you enter for the Upper limit of histogram and Lower
limit of histogram parameters must be realvalued scalars. NaN
and inf
are
not valid values for the Upper limit of histogram and Lower
limit of histogram parameters.
When the Running histogram check box is not selected, the 2D Histogram block computes the frequency distribution of the current input.
When you set the Find the histogram over parameter
to Each column
, the 2D Histogram block
computes a histogram for each column of the MbyN matrix
independently. The block outputs an nbyN matrix,
where n is the Number of bins you
specify. The jth column of the output matrix contains
the histogram for the data in the jth column of
the MbyN input matrix.
When you set the Find the histogram over parameter
to Entire input
, the 2D Histogram block
computes the frequency distribution for the entire input vector, matrix
or ND array. The block outputs an nby1 vector,
where n is the Number of bins you
specify.
When you select the Running histogram check box, the 2–D Histogram block computes the frequency distribution of both the past and present data for successive inputs. The block resets the histogram (by emptying all of the bins) when it detects a reset event at the optional Rst port. See Resetting the Running Histogram for more information on how to trigger a reset.
When you set the Find the histogram over parameter
to Each column
, the 2D Histogram block
computes a running histogram for each column of the MbyN matrix.
The block outputs an nbyN matrix,
where n is the Number of bins you
specify. The jth column of the output matrix contains
the running histogram for the jth column of the MbyN input
matrix.
When you set the Find the histogram over parameter
to Entire input
, the 2D Histogram block
computes a running histogram for the data in the first dimension of
the input. The block outputs an nby1 vector,
where n is the Number of bins you
specify.
Note:
When the 2D Histogram block is used in running mode and the
input data type is nonfloating point, the output of the histogram
is stored as a 
The block resets the running histogram whenever a reset event is detected at the optional Rst port. The reset signal and the input data signal must be the same rate.
You specify the reset event using the Reset port menu:
None
— Disables
the Rst port
Rising edge
— Triggers
a reset operation when the Rst input does one of the following:
Rises from a negative value to a positive value or zero
Rises from zero to a positive value, where the rise is not a continuation of a rise from a negative value to zero (see the following figure)
Falling edge
— Triggers
a reset operation when the Rst
input does one of
the following:
Falls from a positive value to a negative value or zero
Falls from zero to a negative value, where the fall is not a continuation of a fall from a positive value to zero (see the following figure)
Either edge
— Triggers
a reset operation when the Rst
input is a Rising
edge
or Falling edge
(as
described earlier)
Nonzero sample
—
Triggers a reset operation at each sample time that the Rst
input
is not zero
Enter a realvalued scalar for the lower boundary, B_{m},
of the lowestvalued bin. NaN
and inf
are
not valid values for B_{m}. Tunable (Simulink).
Enter a realvalued scalar for the upper boundary, B_{M},
of the highestvalued bin. NaN
and inf
are
not valid values for B_{M}. Tunable (Simulink).
The number of bins, n, in the histogram.
Specify whether the block finds the histogram over the entire input or along each column of the input.
Note: The option will be removed in a future release. 
When selected, the output vector, v, is normalized
such that sum(v) = 1
.
Use of this parameter is not supported for fixedpoint signals.
Set to enable the running histogram operation, and clear to enable basic histogram operation. For more information, see Basic Operation and Running Operation.
The type of event that resets the running histogram. For more information, see Resetting the Running Histogram. The reset signal and the input data signal must be the same rate. This parameter is enabled only when you select the Running histogram check box. For more information, see Running Operation.
Note: The fixedpoint parameters listed are only used for fixedpoint complex inputs, which are distributed by squared magnitude. 
Select the Rounding Modes for fixedpoint operations.
Select the Overflow mode for fixedpoint operations.
Specify the product output data type. See Multiplication Data Types for illustrations depicting the use of the product output data type. You can set it to:
A rule that inherits a data type, for example, Inherit:
Inherit via internal rule
An expression that evaluates to a valid data type,
for example, fixdt([],16,0)
Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Product output data type parameter.
See Specify Data Types Using Data Type Assistant (Simulink) for more information.
Specify the accumulator data type. You can set this parameter to:
A rule that inherits a data type, for example, Inherit:
Inherit via internal rule
An expression that evaluates to a valid data type,
for example, fixdt([],16,0)
Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Accumulator data type parameter.
See Specify Data Types Using Data Type Assistant (Simulink) for more information.
Port  Supported Data Types 

In 

Output 

Rst 

histogram  MATLAB 