# Complex Partial-Systolic Q-less QR Decomposition with Forgetting Factor

Q-less QR decomposition for complex-valued matrices with infinite number of rows

• Library:
• Fixed-Point Designer / Matrices and Linear Algebra / Matrix Factorizations

• ## Description

The Complex Partial-Systolic Q-less QR Decomposition with Forgetting Factor block uses QR decomposition to compute the economy size upper-triangular R factor of the QR decomposition A = QR, without computing Q. A is an infinitely tall complex-valued matrix representing streaming data.

The solution to A'Ax = B is x = R\R'\b.

## Ports

### Input

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Rows of matrix A, specified as a vector. A is an m-by-n matrix where m ≥ 2 and mn. If B is single or double, A must be the same data type as B. If A is a fixed-point data type, 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`
Complex Number Support: Yes

Whether inputs are valid, specified as a Boolean scalar. This control signal indicates when the data at the A(i,:) input port is valid. When this value is 1 (`true`) and the value at ready is 1 (`true`), the block captures the values at the A(i,:) input port. When this value is 0 (`false`), the block ignores the input samples.

Data Types: `Boolean`

Whether to clear internal states, 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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Economy size QR decomposition matrix R, returned as a scalar or vector. R is an upper triangular matrix. R has the same data type as A.

Data Types: `single` | `double` | `fixed point`

Whether the output data is valid, specified as a Boolean scalar. This control signal indicates when the data at output port R is valid. When this value is 1 (`true`), the block has successfully computed the matrix R. When this value is 0 (`false`), the output data is not valid.

Data Types: `Boolean`

Whether the block is ready, returned as a Boolean scalar. This control signal indicates when the block is ready for new input data. When this value is `1` (`true`) and the validIn value 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 columns in input matrix A, specified as a positive integer-valued scalar.

#### Programmatic Use

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

Forgetting factor applied after each row of the matrix is factored, specified as a real positive scalar. The output is updated as each row of A is input indefinitely.

#### Programmatic Use

 Block Parameter: `forgettingFactor` Type: character vector Values: positive integer-valued scalar Default: `0.99`

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## Extended Capabilities

### C/C++ Code GenerationGenerate C and C++ code using Simulink® Coder™.

Introduced in R2020b

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