zafer amanvermez zaman

Analog Output

Çıkış verisi için DAQ kartlarının çoklu analog kanalları vardır.

Library (Kütüphane)

Data Acquisition Toolbox

Not: 64 bit analog Windows sistemlerde legacy interface (miras arayüzü) kullanmayınız. Veri toplama ve veri oluşturmada session-based interface (oturum tabanlı arayüz) kullanınız.

	%Simple analog diaplay
	figure(2); clf;
	clear all
	%trash any existing analog i/o objects
	delete(daqfind);

	%define the input
	adaptor = 'nidaq';
	adaptorData = daqhwinfo(adaptor);
	%get the adaptor id,

	%Simple analog output

	%define the output
	adaptor = 'winsound';
	id = 0;
	chan = 1;

	% Analog output object Configuration.
	% Create an analog input object with one channel.
	ao = analogoutput(adaptor, id);

	%record and play back as fast as possible
	%with digital filtering

	clear all;
	clf;
	delete(daqfind);

	%sample rate and number of inputs per tirgger
	numinput = 2000;
	samrate = 8000;

	#!/usr/bin/python
	#--coding:utf-8--

	class oncelikli_kuyruk:
	def __init__(self):
	self.items = []

	def peek(self):
	return self.items[0]

	function x = jacobi ( A, b, xold, TOL, Nmax )

	%JACOBI approximate the solution of the linear system Ax = b by applying
	% the Jacobi method (simultaneous relaxation)
	%
	% calling sequences:
	% x = jacobi ( A, b, xold, TOL, Nmax )
	% jacobi ( A, b, xold, TOL, Nmax )
	%
	% inputs:

	function [x,iter] = gaussseidel(A,b,tol,max)
	% Usage: [x,iter] = gaussseidel(A,b,tol,max)
	% Uses Jacobi iteration to solve Ax = b
	% Input variables:
	% A = matrix
	% b = rhs
	% tol = l2 tolerance on residue
	% max = maximum allowable number of iterations
	% Output variables:
	% x = solution

	function [x,it,err] = newton1(x0,tol,fname,fpname)
	% Newton's metod
	% alt a) \|f(x^k)\| <= tol

	it = 0;
	x = x0;
	fx = feval(fname , x);
	fpx = feval(fpname, x);
	err = abs(fx);