| DSP Blockset | ![]() |
Solve the equation SX=B for X when S is a square Hermitian positive definite matrix
Library
Math Functions / Matrices and Linear Algebra / Linear System Solvers
Description
The LDL Solver block solves the linear system SX=B by applying LDL factorization to the matrix at the S port, which must be square (M-by-M) and Hermitian positive definite. Only the diagonal and lower triangle of the matrix are used, and any imaginary component of the diagonal entries is disregarded. The input to the B port is the right side M-by-N matrix, B. The output is the unique solution of the equations, M-by-N matrix X, and is always sample based.
A length-M 1-D vector input for right side B is treated as an M-by-1 matrix.
When the input is not positive definite, the block reacts with the behavior specified by the Non-positive definite input parameter. The following options are available:
Ignore -- Proceed with the computation and do not issue an alert. The output is not a valid solution.
Warning -- Proceed with the computation and display a warning message in the MATLAB Command Window. The output is not a valid solution.
Error -- Display an error dialog box and terminate the simulation.
Algorithm
The LDL algorithm uniquely factors the Hermitian positive definite input matrix S as
where L is a lower triangular square matrix with unity diagonal elements, D is a diagonal matrix, and L* is the Hermitian (complex conjugate) transpose of L.
is solved for X by the following steps:
Dialog Box
Supported Data Types
To learn how to convert your data types to the above data types in MATLAB and Simulink, see Supported Data Types and How to Convert to Them.
See Also
| Autocorrelation LPC |
DSP Blockset |
| Cholesky Solver |
DSP Blockset |
| LDL Factorization |
DSP Blockset |
| LDL Inverse |
DSP Blockset |
| Levinson-Durbin |
DSP Blockset |
| LU Solver |
DSP Blockset |
| QR Solver |
DSP Blockset |
See Solving Linear Systems for related information.
| LDL Inverse | Least Squares Polynomial Fit | ![]() |
Learn more about the latest releases of MathWorks products: |
| © 1994-2009 The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS |