Matrix 1-Norm

Compute 1-norm of matrix

• 

Libraries:
DSP System Toolbox / Math Functions / Matrices and Linear Algebra / Matrix Operations

Description

The Matrix 1-Norm block computes the 1-norm or maximum column-sum of an M-by-N input matrix A.

$$y={\Vert A\Vert }_1=\underset{1\le j\le N}{\max }{\displaystyle \sum _{i=1}^M\left|a_{ij}\right|}$$

Equivalent MATLAB^® code is given by:

y = max(sum(abs(A))) 

Examples

Compute Maximum Column Sum of Matrix

Simulink^® model example that shows how to calculate the max column sum of a matrix.

• Open Model

Ports

Input

Port_1 — Input signal

vector | matrix

Input signal, specified as a vector or matrix.

The block treats length-M unoriented vector input as an M-by-1 matrix.

The Matrix 1-Norm block supports real and complex floating-point inputs and real fixed-point inputs.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | fixed point
Complex Number Support: Yes

Output

Port_1 — Output signal

scalar

Matrix 1-norm or maximum column-sum of the input, returned as a scalar. The output y is always a scalar.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | fixed point

Parameters

Main

There are no parameters on the Main Tab.

Data Types

Rounding mode — Method of rounding operation

Floor (default) | Ceiling | Convergent | Nearest | Round | Simplest | Zero

Specify the rounding mode for fixed-point operations as one of the following:

• Floor

• Ceiling

• Convergent

• Nearest

• Round

• Simplest

• Zero

For more details, see Rounding Modes.

Note

The Rounding mode and Saturate on integer overflow parameters have no effect on numerical results when all these conditions are met:

• Accumulator data type is Inherit: Inherit via internal rule.

• Output data type is Inherit: Same as accumulator.

With these data-type settings, the block operates in a full-precision mode.

Saturate on integer overflow — Overflow handling method

off (default) | on

Select this parameter to saturate the result of the fixed-point operation. Clear this parameter to wrap the result of the fixed-point operation. For details on saturate and wrap, see Overflow Handling for fixed-point operations.

Note

The Rounding mode and Saturate on integer overflow parameters have no effect on numeric results when all these conditions are met:

• Product output data type is Inherit: Inherit via internal rule.

• Accumulator data type is Inherit: Inherit via internal rule.

With these data-type settings, the block operates in a full-precision mode.

Accumulator — Accumulator data type

Inherit: Inherit via internal rule (default) | Inherit: Same as input | fixdt([],16,0)

Accumulator specifies the data type of the output of an accumulation operation in the Matrix 1-Norm block.

• Inherit: Inherit via internal rule — The block inherits the accumulator data type based on an internal rule. For more information on this rule, see Inherit via Internal Rule.

• Inherit: Same as input — The block specifies the accumulator data type to be the same as the input data type.

• fixdt([],16,0) — The block specifies an autosigned, binary-point, scaled, fixed-point data type with a word length of 16 bits and a fraction length of 0.

Alternatively, you can set the Accumulator data type by using the Data Type Assistant. To use the assistant, click the Show data type assistant button.

For more information on the data type assistant, see Specify Data Types Using Data Type Assistant (Simulink).

For illustrations on how to use the accumulator data type in this block, see Fixed-Point Data Types.

Output — Output data type

Inherit: Same as accumulator (default) | Inherit: Same as input | fixdt([],16,0)

Output specifies the data type of the output of the Matrix 1-Norm block.

• Inherit: Same as input — The block specifies the output data type to be the same as the input data type.

• Inherit: Same as accumulator — The block specifies the output data type to be the same as the accumulator data type.

• fixdt([],16,0) — The block specifies an autosigned, binary-point, scaled, fixed-point data type with a word length of 16 bits and a fraction length of 0.

Alternatively, you can set the Output data type by using the Data Type Assistant. To use the assistant, click the Show data type assistant button.

For more information on the data type assistant, see Specify Data Types Using Data Type Assistant (Simulink).

For more information on the output data type, see Fixed-Point Data Types.

Output Minimum — Minimum value that block can output

[] (default) | scalar

Specify the minimum value the block can output. Simulink uses this minimum value to perform:

• Simulation range checking. See Specify Signal Ranges (Simulink).

• Automatic scaling of fixed-point data types.

Output Maximum — Maximum value that block can output

[] (default) | scalar

Specify the maximum value the block can output. Simulink uses this maximum value to perform:

• Simulation range checking. See Specify Signal Ranges (Simulink).

• Automatic scaling of fixed-point data types.

Lock data type settings against changes by the fixed-point tools — Prevent fixed-point tools from overriding data types

off (default) | on

Select this parameter to prevent the fixed-point tools from overriding the data types you specify in the block dialog box.

Note

Floating-point inheritance takes precedence over the data type settings defined on this tab. When inputs are floating point, the block ignores these settings and all internal data types are floating point.

Block Characteristics

Data Types	double | fixed point | integer | single
Direct Feedthrough	no
Multidimensional Signals	no
Variable-Size Signals	no
Zero-Crossing Detection	no

More About

Fixed-Point Data Types

This diagram shows the data types used within the Matrix 1-Norm block for fixed-point signals.

The block calculations are all done in the accumulator data type until the max operation is performed. The result is then cast to the output data type. You can set the accumulator and output data types in the block dialog box.

References

[1] Golub, G. H., and C. F. Van Loan. Matrix Computations. 3rd ed. Baltimore, MD: Johns Hopkins University Press, 1996.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Fixed-Point Conversion
Design and simulate fixed-point systems using Fixed-Point Designer™.

Version History

Introduced before R2006a