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Прототипирование моделей РЛС в MATLAB

Прототипирование моделей РЛС в MATLAB

Channel: ЦИТМ Экспонента

Основы ЦОС: 22. АЧХ и ФЧХ (ссылки на скачивание скриптов в описании)

Основы ЦОС: 22. АЧХ и ФЧХ (ссылки на скачивание скриптов в описании)

Channel: ЦИТМ Экспонента

Основы ЦОС: 21. Линейные стационарные системы

Основы ЦОС: 21. Линейные стационарные системы

Channel: ЦИТМ Экспонента

Курс «Анализ данных». День 3. Обработка больших данных и создание приложений в MATLAB

Курс «Анализ данных». День 3. Обработка больших данных и создание приложений в MATLAB

Channel: ЦИТМ Экспонента

Matlab

Mathworks

Simulink

матлаб

симулинк

raspberry

raspberry pi

аудиофильтр

реализация

raspberry_pi

00:00:01

processing for a

00:00:03

split pie, I’ll immediately note all our videos

00:00:05

before were kept within the framework of matlab and a

00:00:07

couple of additional tool boxes, but in

00:00:09

this video we are for the first time using

00:00:11

simulink, for those who are not familiar with it,

00:00:12

be sure to look at the vision playlist

00:00:14

in simulink link description to this

00:00:16

video, but in general this environment for graphic

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modeling and dynamic simulation

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of systems, as practice shows, is very

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convenient and it is for the implementation of

00:00:25

SOS systems on various platforms that we will create a

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new simulink model, here we will

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draw our system in the form of a block diagram, we will

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take the block we find in special libraries block for reading

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multimedia files and indicate

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the file we are interested in. Now let’s find the block for

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playback and run the model for 4

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seconds. We can display the

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data type and dimension directly on the diagram, that is,

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now we see that our blocks

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exchange matrices of the double type.

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Now let’s add a discrete

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filter block. and we’ll add a separate input to it for the

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coefficients and also indicate the possibility of

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frame-by-frame processing, but where will it

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get the value of the coefficients?

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the video has passed, we got a matrix,

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well, mate, we can store it in a

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constant block, but the matrix itself has not yet

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been loaded and see from the file, but we can do this

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quickly to correct,

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but it would be more correct to load a

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variable from a file every time we

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want to run the model,

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this can be done using call back

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of the model, we will write the command laut into

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the initialization, now we will find the block

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of faith, there was a selector that will help

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select the rows of the matrix a to its

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index input, for now we’ll just give some

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constant value

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let's run the model and obediently

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we have selected the first filter,

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I want to find out how it changed the spectrum of

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the signal so I'll add a spectrum analyzer blog,

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configure it a little, set

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it to display only really

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parts of the spectrum and run the model again

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[music]

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now let's turn on

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infinite playback that is,

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stoptime is set to infinity info

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and let's try to change the value here of the bottom

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vlog of the end to change manually I'm tired of

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now I want the coefficient and me to be

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scaffolded according to some law and a signal

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source block called

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petting sequins stealth will help me with this, that is, a

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repeating sequence

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values and here I will simply indicate the

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rows of the matrix from 1 to 8 and back, and

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I will choose the signal output period

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equal to 0 1 second, which changed quickly enough for me,

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we launch our model and see the error

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signal periods conflict, the values at the

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filter input come with different

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sampling periods and if increase the

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number of signal samples at each

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step, then there will be no conflict

00:03:38

[music]

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spectrogram

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[music]

00:04:01

we got the so-called effect

00:04:03

of the vow to true will be even more noticeable on a

00:04:05

signal with a more uniform spectrum,

00:04:07

especially on the spectrogram, but in order to

00:04:22

implement this algorithm in the

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analysis of the share we you will need to install the

00:04:25

hardware support package

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Hubble support Regis tab there we are looking for

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simulink support also for disassembling the pipe

00:04:32

and following the installation instructions

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it is important to note that our models

00:04:35

will work correctly on matlab versions from 17b

00:04:37

and higher

00:04:38

let's return to the model first of all

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let's save it under a new name

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let's name the audio module and disassemble it,

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we will also have to change some

00:04:47

parameters in our model, so we

00:04:49

will go to the main settings in the implementation section

00:04:52

and select the type of board there, the remaining

00:04:55

parameters of the target systems will be chosen

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independently, we will also have to

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replace our audio source and

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playback blocks, so we go to a

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specialized library to

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rake and take out from there

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the audio file read blocks and also the als audio playback block

00:05:13

to replace them with the audio device rider block and the

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front media file, we remove these blocks from

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commenting out and put the blocks for disassembling the pipe in

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their place, also they have

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certain features of the particular

00:05:26

block also audio playback

00:05:28

it accept as input only

00:05:30

data types in integer format, that is, it

00:05:31

cannot accept data in a table, as well as the

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audio file dried block also produces only

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this formatting 16, so here we will

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need data type conversion blocks

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or yes, this type converter

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will be the first to convert is in 16th double and the

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second one will convert the published

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back to n 16

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after we

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carry out all the transformations we will be

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ready to run the model

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directly on the payment platform

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connected to the computer and now we

00:05:57

will try to launch it in the so-called

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external mode for this we

00:06:01

will need to change the simulation mode but

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first of all let's put our

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familiar guitar as a test audio file,

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now change the simulation mode from

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normalno external and launch the run button,

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here we will have automatic

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generation of code which will then run

00:06:19

on the target platform, that is, on 1 were

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paid, this is what the automatically

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generated code looks like and let's see

00:06:25

what we will have it happen

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directly on the platform, here we

00:06:33

are seeing data from the top from the dynamite

00:06:36

to the rip towel, I’m now people, the

00:06:40

fourth model transfers data to the board of the board

00:06:43

before the games back,

00:06:44

so we are also observing the spectrum, if I

00:06:47

turn off everything, it will unfold, then everything

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will stop, let’s put it back in place

00:07:00

[music]

00:07:01

we can also run the model and in a

00:07:04

completely autonomous mode, by law we will need to

00:07:07

press the beat button

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for now, let's disconnect the board,

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let's change the audio file, for example,

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put a file called dance there and

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press the build button, the code will also be

00:07:21

generated, it will go to disassemble

00:07:24

the Pine, now we can disconnect from

00:07:25

the computer can work in offline

00:07:27

mode

00:07:30

as you hear the music starts playing

00:07:32

and data exchange now does not occur

00:07:39

if you evaluate the board tons and now the

00:07:42

hyper table costs music completely autonomously

00:07:48

now it’s just remove the power, well with

00:07:51

this we end our

00:07:54

playlist of the basics of digital

00:07:56

signal processing, leave it in in the comments, everything

00:07:59

you would like to see in our

00:08:00

future playlists, if you have

00:08:02

any technical questions, write them to us by

00:08:04

email,

00:08:05

our engineers will always be happy to

00:08:07

answer you, and of course, stay on the

00:08:09

channel, subscribe and stay tuned for

00:08:11

updates until we meet again

Description:

Российская платформа математических вычислений и динамического моделирования Engee: сайт: https://start.engee.com/ Телеграм канал: https://t.me/engee_com ############### Наш тренинг "Проектирование систем цифровой обработки сигналов" https://exponenta.ru/SLBE-G В заключительном видео плейлиста мы рассмотрим процессы разработки моделей в среде Simulink, а также реализации алгоритмов ЦОС на Raspberry Pi. Все видео и описание https://exponenta.ru/news/cifrovaya-obrabotka-signalov Ссылки на скачивание скриптов и файлов данных: https://github.com/ETMC-Exponenta/DSP_YoutubePlaylist/tree/master/deploy Плейлист "Введение в цифровую обработку сигналов (ЦОС)": https://www.youtube.com/playlist?list=PLmu_y3-DV2_kpP8oX_Uug0IbgH2T4hRPL Плейлист "Введение в Simulink": https://www.youtube.com/watch?v=_gDsghQ-Y1s&list=PLmu_y3-DV2_k0FqQSqWVKE0cW-eSPUSTq Мы Вконтакте: https://vk.com/mathworks

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