Cumulative product of channel, column, or row elements
Math Functions / Math Operations
dspmathops
The Cumulative Product block computes the cumulative product along the specified dimension of the input or across time (running product).
The input can be a vector or matrix.
The Cumulative Product block accepts vector or matrix inputs containing real or complex values.
The optional reset port, Rst
, accepts scalar values, which
can be any builtin Simulink^{®} data type including boolean
. The rate of the
input to the Rst port must be the same or slower than that of the input data
signal. The sample time of the input to the Rst port must be a positive integer
multiple of the input sample time.
When you set the Multiply input along parameter to
Channels (running product)
, the block computes the
cumulative product of the elements in each input channel. The running product of the
current input takes into account the running product of all previous inputs. In this
mode, you must also specify a value for the Input processing
parameter. When you set the Input processing parameter to
Columns as channels (frame based)
, the block computes
the running product along each column of the current input. When you set the
Input processing parameter to Elements as
channels (sample based)
, the block computes a running product for
each element of the input across time. See the following sections for more
information:
When you set the Input processing parameter to
Columns as channels (frame based)
, the block
treats each input column as an independent channel. As the following figure and
equation illustrate, the output has the following characteristics:
The first row of the first output is the same as the first row of the first input.
The first row of each subsequent output is the elementwise product of the first row of the current input (time t), and the last row of the previous output (time t  T_{f}, where T_{f} is the frame period).
The output has the same size, dimension, data type, and complexity as the input.
Given an MbyN matrix input, u, the output, y, is an MbyN matrix whose first row has elements
$${y}_{1,j}\left(t\right)={u}_{1,j}\left(t\right)\cdot {y}_{M,j}\left(t{T}_{f}\right)$$
When you set the Input processing parameter to
Elements as channels (sample based)
, the block
treats each element of the input matrix as an independent channel. As the
following figure and equation illustrate, the output has the following
characteristics:
The first output is the same as the first input.
Each subsequent output is the elementwise product of the current input (time t) and the previous output (time t  T_{s}, where T_{s} is the sample period).
The output has the same size, dimension, data type, and complexity as the input.
Given an MbyN matrix input, u, the output, y, is an MbyN matrix with the elements
$${y}_{i,j}(t)={u}_{i,j}(t)\cdot {y}_{i,j}(t{T}_{s})\text{\hspace{0.17em}}\text{\hspace{0.17em}}\begin{array}{c}1\le i\le M\\ 1\le j\le N\end{array}$$
For convenience, the block treats lengthM unoriented vector inputs as Mby1 column vectors when multiplying along channels. In such cases, the output is a lengthM unoriented vector.
When you are computing the running product, you can configure the block to
reset the running product whenever it detects a reset event at the optional
Rst
port. The rate of the input to the Rst port must be
the same or slower than that of the input data signal. The sample time of the
input to the Rst port must be a positive integer multiple of the input sample
time. The input to the Rst
port can be of the Boolean data
type.
If a reset event occurs while the block is performing samplebased processing, the block initializes the current output to the values of the current input. If a reset event occurs while the block is performing framebased processing, the block initializes the first row of the current output to the values in the first row of the current input.
The Reset port parameter specifies the reset event, which can be one of the following:
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 above)
Nonzero sample
— Triggers a reset
operation at each sample time that the Rst
input is
not zero
Note
When you run simulations in Simulink
MultiTasking
mode, reset signals have a
onesample latency. When the block detects a reset event, a onesample delay
occurs at the reset port rate before the block applies the reset. For more
information on latency and the Simulink tasking modes, see Excess Algorithmic Delay (Tasking Latency) and TimeBased Scheduling and Code Generation (Simulink Coder).
When you set the Multiply input along parameter to
Columns
, the block computes the cumulative product of
each column of the input. In this mode, the current cumulative product is
independent of the cumulative products of previous inputs.
y = cumprod(u) % Equivalent MATLAB code
The output has the same size, dimension, data type, and complexity as the input. The mth output row is the elementwise product of the first m input rows.
Given an MbyN input, u, the output, y, is an MbyN matrix whose jth column has elements
$${y}_{i,j}={\displaystyle \prod _{k=1}^{i}{u}_{k,j}}\text{}1\le i\le M$$
When multiplying along columns, the block treats lengthM unoriented vector inputs as Mby1 column vectors.
When you set the Multiply input along parameter to
Rows
, the block computes the cumulative product of
the row elements. In this mode, the current cumulative product is independent of the
cumulative products of previous inputs.
y = cumprod(u,2) % Equivalent MATLAB code
The output has the same size, dimension, and data type as the input. The nth output column is the elementwise product of the first n input columns.
Given an MbyN matrix input, u, the output, y, is an MbyN matrix whose ith row has elements
$${y}_{i,j}={\displaystyle \prod _{k=1}^{j}{u}_{i,k}}\text{}1\le j\le N$$
When you multiply along rows, the block treats lengthN unoriented vector inputs as 1byN row vectors.
The following diagram shows the data types used within the Cumulative Product block for fixedpoint signals.
The output of the multiplier is in the product output data type when at least one of the inputs to the multiplier is real. When both of the inputs to the multiplier are complex, the result of the multiplication is in the accumulator data type. For details on the complex multiplication performed, see Multiplication Data Types. You can set the accumulator, product output, intermediate product, and output data types in the block dialog as discussed in Parameters.
Main Tab
Specify the dimension along which to compute the cumulative product. You
can choose to multiply along Channels (running
product)
, Columns
, or
Rows
. For more information, see the following
sections:
Specify how the block should process the input when computing the running product along the channels of the input. You can set this parameter to one of the following options:
Columns as channels (frame based)
— When you select this option, the block treats each column
of the input as a separate channel.
Elements as channels (sample based)
— When you select this option, the block treats each element
of the input as a separate channel.
This parameter is available only when you set the Multiply input
along parameter to Channels (running
product)
.
Determines the reset event that causes the block to reset the product
along channels. The rate of the input to the Rst port must be the same or
slower than that of the input data signal. The sample time of the input to
the Rst port must be a positive integer multiple of the input sample time.
This parameter appears only when you set the Multiply input
along parameter to Channels (running
product)
. For more information, see Resetting the Running Product.
Data Types Tab
Note
Floatingpoint inheritance takes precedence over the data type settings defined on this pane. When inputs are floating point, the block ignores these settings, and all internal data types are floating point.
Specify the rounding mode for fixedpoint operations as one of the following:
Floor
Ceiling
Convergent
Nearest
Round
Simplest
Zero
For more details, see rounding mode.
When you select this parameter, the block saturates the result of its
fixedpoint operation. When you clear this parameter, the block wraps the
result of its fixedpoint operation. For details on
saturate
and wrap
, see overflow
mode for fixedpoint operations.
Specify the intermediate product data type. As shown in FixedPoint Data Types, the output of the multiplier is cast to the intermediate product data type before the next element of the input is multiplied into it. You can set it to:
A rule that inherits a data type, for example,
Inherit: Same as input
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 parameter.
See Specify Data Types Using Data Type Assistant (Simulink) for more information.
Specify the product output data type. See FixedPoint Data Types and Multiplication Data Types for illustrations depicting the use of the product output data type in this block. You can set it to:
A rule that inherits a data type, for example,
Inherit: Same as input
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 parameter.
See Specify Data Types Using Data Type Assistant (Simulink) for more information.
Specify the accumulator data type. See FixedPoint Data Types for illustrations depicting the use of the accumulator data type in this block. You can set this parameter to:
A rule that inherits a data type, for example,
Inherit: Same as input
A rule that inherits a data type, for example,
Inherit: Same as product
output
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 parameter.
See Specify Data Types Using Data Type Assistant (Simulink) for more information.
Specify the output data type. See FixedPoint Data Types for illustrations depicting the use of the output data type in this block. You can set it to:
A rule that inherits a data type, for example,
Inherit: Same as input
A rule that inherits a data type, for example,
Inherit: Same as product
output
An expression that evaluates to a valid data type, for example,
fixdt([],16,0)
If both inputs are unsigned, all data types including the output data type is unsigned. If one of the inputs is signed, internal and output data types are signed.
Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Output parameter.
See Control Data Types of Signals (Simulink) for more information.
Specify the minimum value that the block should output. The default value
is []
(unspecified). Simulink uses this value to perform:
Simulation range checking (see Specify Signal Ranges (Simulink))
Automatic scaling of fixedpoint data types
Specify the maximum value that the block should output. The default value
is []
(unspecified). Simulink uses this value to perform:
Simulation range checking (see Specify Signal Ranges (Simulink))
Automatic scaling of fixedpoint data types
Select this parameter to prevent the fixedpoint tools from overriding the data types you specify on the block mask.
Input and Output Ports  Supported Data Types 

Data input port, 

Reset input port,  All builtin Simulink data types:

Output port 
