User`s guide

Matrix Square
5-288
5Matrix Square
Purpose Compute the square of the input matrix.
Library Math Functions / Matrices and Linear Algebra / Matrix Operations
Description The Matrix Square block computes the square of an M-by-N input matrix, u, by
premultiplying with the Hermitian transpose.
y = u' * u % Equivalent MATLAB code
A length-M 1-D vector input is treated as an M-by-1 matrix. For both
sample-based and frame-based inputs, output
y is sample-based with
dimension N-by-N.
Applications
The Matrix Square block is useful in a variety of applications:
•General matrix squares – The Matrix Square block computes the output
matrix,
y, without explicitly forming u'. It is therefore more efficient than
other methods for computing the matrix square.
•Sum of squares – When the input is a column vector (N=1), the block’s
operation is equivalent to a multiply-accumulate (MAC) process, or inner
product. The output is the sum of the squares of the input, and is always a
real scalar.
•Correlation matrix – When the input is a row vector (M=1), the output,
y, is
the symmetric autocorrelation matrix, or outer product.
Dialog Box
Supported
Data Types
Double-precision floating point