A rules of laboratory work decoration

A laboratory work is decorated by the following sequence: A decoration of laboratory work starts with the title page. The title of HEI, chair, subject, the title of laboratory work, full name of the student, group, full name of the teacher.

The theme of the laboratory work, purpose and tasks, the order of carried out work are noted, scheme of laboratory installation, filled tables with experiment results, conclusions, answers to the control questions, a list of used literature are given.

A numeration of laboratory work pages are existed with Arabic figures with maintenance of through numeration on all texts of the work. A number of page filled in the centre of the low part of the paper without point. Title page is included in whole numeration of page. A number of page on the title page isn’t filled.

A text of the work is printed out on the printer, lists are binded (A4 format lists with the maintenance of GOST 2. 105, GOST 8. 417, ST SKSU 4.02 - 2008 )

Laboratory work 1 Study of the determined signals characteristics

The Purpose: Spectral characteristics estimation technique development of determined and random signals by numerical experiment and imitating modeling.

1.The Procedure.

1.The tasks:

1.1. In the environment of Matlab to generate Gaussian, rectangular – radio impulses, and also type impulses sin (x)/x. To construct spectral characteristics of signals and to investigate influence of parameters of signals on practical width of their spectra.

1.2. By imitating modeling in the environment of Simulink to investigate spectral characteristics random and noisy signals. For performance of the given point preliminary by means of browser Simulink to load a file spectral analysis and to investigate influence of types of signals on practical width of their spectra.

1.3. By imitating modeling in the environment of Simulink to investigate likelihood characteristics of random signals. To define effective width of spectra of random signals and correlation intervals. For carrying out of researches to load a file statistics.

2. A course of implementation:

2.1. In point 1 there have been executed the following actions:

a) To load a file g_impulse in the environment of Matlab, we survey the text of the program and have executed, having pressed the panel of tools "Debug" button "Start";

b) We have created a spectrum of an investigated signal by means of graphic interface Signal Processing which can be opened, having set a command sptool in Command Window of Matlab;

c) In window SPTool in the menu the File have chosen a command Import, from a window "Maintenance" have chosen a variable which sets a signal kind, and have sent in section "Data", and value of frequency of discretization Fs have sent in section «Frequency of sample», have executed (files г_impuls s_impuls sp_impuls);

г) In a window "Signals" have chosen again entered signal and have pressed button "View", there will be a signal image;

d) In a window "Spectra" have pressed button "Create", in a revealing window in section "Parameters" have chosen a method «FFT» – fast transform of Fourier – and have pressed the button to "accept";

е) By means of markers have set area of practical width of a spectrum and have read its value (this data is used at designing of ITS.);

f) Have similarly conducted researches of the subsequent signals, choosing accordingly a variable which sets a kind of a signal and frequency of discretization Fs.

The received results are displayed on the images resulted more low:

Figure 1. s=gauspuls (t, Fs, bw, bwr). Figure 2. s1=rectpuls(t,T).*cos(2*pi*f0*t);

radioimpulse.

Figure 3.s2=sinc(t); impulse. Figure 4. s2=sinc(t); impulse

s2=sinc(t).*cos(2*pi*f0*t);

Figure 5.s3=sinc(t); pulse Figure 6.

Figure 7. Figure 8.

2.2. The task of research at performance of point 2 has carried out:

For noise signals with uniform and Gaussian distributions by a choice of a corresponding signal in a window of parameters of the block «Random Source»;

The block «Random Source» was disconnected for noise signals with that end in view, for this purpose having pressed a key “Shift” and by means of "Mouse" have dragged the block on an empty seat and were connected the modeling scheme of noise signal;

For signals, having pressed button "PC/Windows" twice.

Figure 9. Figure 10.

Figure 11.

2.3. Probabilistic characteristics estimation was carried out by corresponded blocks.

Figure 12 Figure 13

Figure 14 Figure 15

Thus, during performance of the given laboratory work the technique of an estimation of spectral characteristics of the determined and random signals by numerical experiment and imitating modeling has been mastered.