array and matrix mathematics -凯发k8网页登录

array and matrix operations, polynomial fitting

you can perform several mathematical operations on arrays and matrices using system objects and blocks in the dsp system toolbox™. these operations include simple operations such as addition, subtraction, multiplication, and division, and more complex operations such as cumulative sum, cumulative product, and normalization. you can also extract diagonals and upper and lower triangles from matrices. in addition, there are dsp system toolbox blocks that perform polynomial fitting in a least-squares sense, evaluate polynomial expressions, and determine if the roots of a polynomial are inside the unit circle.

blocks

array operations

	add vector to array along specified dimension
	divide array by vector along specified dimension
	multiply array by vector along specified dimension
	subtract vector from array along specified dimension
	cumulative product of channel, column, or row elements
	cumulative sum of channel, column, or row elements
	convert magnitude data to decibels (db or dbm)
	apply decibel gain
	compute element-to-element difference along specified dimension of input
	perform vector normalization along rows, columns, or specified dimension

matrix operations

	extract lower or upper triangle from input matrices
	compute 1-norm of matrix
	concatenate input matrices of same data type for iterative processing
	compute matrix exponential
	multiply and divide scalars and nonscalars or multiply and invert matrices
	multiply matrix elements along rows, columns, or entire input
	add or subtract inputs
	overwrite submatrix or subdiagonal of input
	compute reciprocal condition of square matrix in 1-norm
	generate matrix with toeplitz symmetry

polynomial functions

	compute polynomial coefficients that best fit input data in least-squares sense
	evaluate polynomial expression
	use schur-cohn algorithm to determine whether all roots of input polynomial are inside unit circle

topics

simulink^® model example that shows how to calculate the rowwise and columnwise difference of a matrix.
simulink model example that shows how to calculate the max column sum of a matrix.
use the matrix exponential block to compute the matrix exponential of a square matrix.
list of system objects that support variable-sized signals in dsp system toolbox.