Real Burst Matrix Solve Using QR Decomposition

Compute the value of x in the equation Ax = B for real-valued matrices using QR decomposition

Description

The Real Burst Matrix Solve Using QR Decomposition block solves the system of linear equations Ax = B using QR decomposition, where A and B are real-valued matrices. To compute x = A-1, set B to be the identity matrix.

Creation

model = fixed.getMatrixSolveModel(A, B) generates a model named model containing a Matrix Solve QR Decomposition block and data input matrices, A and B.

Ports

Input

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Rows of real matrix A, where A is a m-by-n matrix with m ≥ 2 and mn. If B is single or double, A must be the same data type as B. If A is fixed point, A must be signed, use binary point scaling, and have the same word length as B. Slope-bias representation is not supported for fixed-point data types.

Data Types: single | double | fixed point

Rows of real matrix B, where B is a m-by-p matrix with m ≥ 2. If A is single or double, B must be the same data type as A. If B is fixed point, B must be signed, use binary point scaling, and have the same word length as A. Slope-bias representation is not supported for fixed-point data types.

Data Types: single | double | fixed point

Indicates valid inputs, specified as a Boolean scalar. Control signal that indicates when the data from the A(i,:) and B(i,:) input ports is valid. When this value is 1 (true) and ready is 1 (true), the block captures the values on the A(i,:) and B(i,:) input ports. When this value is 0 (false), the block ignores the input samples.

Data Types: Boolean

Clears internal state, specified as a Boolean scalar. When this value is 1 (true), the block stops the current calculation and clears all internal states. When this value is 0 (false) and the validIn value is 1 (true), the block begins a new subframe.

Data Types: Boolean

Output

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Rows of the matrix X.

Data Types: single | double | fixed point

Control signal that indicates when the data at the output port X(i,:) is valid. When this value is 1 (true), the block has successfully computed a row of X. When this value is 0 (false), the output data is not valid.

Data Types: Boolean

Control signal that indicates when the block is ready for new input data. When this value is 1 (true) and validIn is 1 (true), the block accepts input data in the next time step. When this value is 0 (false), the block ignores input data in the next time step.

Data Types: Boolean

Parameters

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Number of rows in input matrices A and B, specified as a positive integer-valued scalar.

Programmatic Use

Block Parameter: m
Type: character vector
Values: integer-valued scalar
Default: '4'

Number of columns in input matrix A, specified as a positive integer-valued scalar.

Programmatic Use

Block Parameter: n
Type: character vector
Values: integer-valued scalar
Default: '4'

Number of columns in input matrix B, specified as a positive integer-valued scalar.

Programmatic Use

Block Parameter: p
Type: character vector
Values: integer-valued scalar
Default: '1'

Data type of the output matrix X, specified as a string. The type be specified directly, or expressed as a data type object such as Simulink.NumericType.

Programmatic Use

Block Parameter: OutputType
Type: character vector
Values: 'fixdt(1,18,14)' | 'double' | 'single' | 'fixdt(1,16,0)' | '<data type expression>'
Default: fixdt(1,18,14)

Introduced in R2019b