MATLAB SIGNAL PROCESSING BLOCKSET 7 Podręcznik Użytkownika Pobierz pdf (Strona 382)

100

101

Histogram

5-225

For convenience, length-M 1-D vector inputs and sample-based length-M row

vector inputs are both treated as M-by-1 column vectors.

The output,

y, is a sample-based n-by-N matrix whose jth column is the

histogram for the data in the jth column of

u. When the Normalized check box

is selected, the block scales each column of the output so that

sum(y(:,j)) is 1.

Running Operation

When the Running histogram check box is selected, the block computes the

frequency distributions in a time-sequence of M-by-N inputs by creating N

persistent histograms to which successive inputs are continuously added. For

frame-based inputs, this is equivalent to a persistent histogram for each

independent channel.

As in basic operation, length-M 1-D vector inputs and sample-based length-M

row vector inputs are both treated as M-by-1 column vectors.

The output is a sample-based n-by-N matrix whose jth column reflects the

current state of the jth histogram. The block resets the running histogram (by

emptying all bins of all histograms) when the scalar input at the optional

Rst

port is nonzero. (The

Rst port can be disabled by deselecting the Reset port

check box.)

Example The model below illustrates the Histogram block’s basic operation for a

single-channel input,

u, where

u = [0 -2 6 -12 2 5 4 3 0 4 3 -2 -3 -2 -9]'

The parameter settings for the Histogram block are:

•

Minimum value of input = -10

•Maximum value of input = 10

•Number of bins = 5

1 2 ... 377 378 379 380 381 382 383 384 385 386 387 ... 737 738

Komentarze do niniejszej Instrukcji

Brak uwag

MATLAB SIGNAL PROCESSING BLOCKSET 7 Podręcznik Użytkownika Strona 382

Komentarze do niniejszej Instrukcji

Powiązane produkty i podręczniki dla Oprogramowanie MATLAB SIGNAL PROCESSING BLOCKSET 7