ND
посмотрел чего началось, да это нормальная запись фильтра , можно еще короче записать: y += (x - y)*alfa , но все же в лоб повторяют )
Size: a a a
2020 June 17
TK
Медианный это обычный бих
TK
А, тьфу
TK
Вот этот который экспоненциальный
TK
Надо прогуглить что за медианный, а то забыл
ND
EWA бих 1 порядка верно
ND
алгоритм медиального это отсортировать выборку и взять средний элемент
BV
Может кто знает что гуглить на дёшевый, быстро доступный переходник uart->rs-232
DP
ft232r pl2301 pl2303 ch340 (лучше нинада)
BV
Это которые именно rs232 c 12В ?
DP
max232 / max3232
BV
Спс
VS
кстати он вообще не отвечает на вопросы. Игнорит. Может мне так не повезло, но было неприятно... с тех пор я перестал его смотреть. Есть гораздо умнее блоггеры
Он похоже совсем не шарит. Копирует код. Там гигантское количество ляпов вызванное непониманием процессов. Начиная от схемотехники и кончая обработкой результатов беззнакового АЦП.
Что за фильтр там, никто кого спрашивал пока не вьехал. По идее достаточно скользящего среднего. но это точно не скользящее среднее.
Что за фильтр там, никто кого спрашивал пока не вьехал. По идее достаточно скользящего среднего. но это точно не скользящее среднее.
2020 June 18
MR
Hi guys, I am new to this to group here.
I was wondering if someone could help me out in brainstorming ideas and thinking of solutions around the application of machine learning on an ARM Cortex M MCU.
So the question in which field would you see an application if you can have
a) one or more sensors (accelerometer, gyroscope, hall sensor etc)
b) an ARM Cortex MCU
c) a software which let's you give the MCU a context of the sensor data and consequently the behaviour you want to look at
d) the actual learning happens on the MCU (there is no pre-trained fixed model) in-situ learning. I think this is quite unique.
e) applying all of the above on a ST Microsystems development board (nucleo 32) to deliver a POC prototype
I am curious to hear what you think of the above and hope the admin won't nick me out for my English question here.
I was wondering if someone could help me out in brainstorming ideas and thinking of solutions around the application of machine learning on an ARM Cortex M MCU.
So the question in which field would you see an application if you can have
a) one or more sensors (accelerometer, gyroscope, hall sensor etc)
b) an ARM Cortex MCU
c) a software which let's you give the MCU a context of the sensor data and consequently the behaviour you want to look at
d) the actual learning happens on the MCU (there is no pre-trained fixed model) in-situ learning. I think this is quite unique.
e) applying all of the above on a ST Microsystems development board (nucleo 32) to deliver a POC prototype
I am curious to hear what you think of the above and hope the admin won't nick me out for my English question here.
零幡
Hi guys, I am new to this to group here.
I was wondering if someone could help me out in brainstorming ideas and thinking of solutions around the application of machine learning on an ARM Cortex M MCU.
So the question in which field would you see an application if you can have
a) one or more sensors (accelerometer, gyroscope, hall sensor etc)
b) an ARM Cortex MCU
c) a software which let's you give the MCU a context of the sensor data and consequently the behaviour you want to look at
d) the actual learning happens on the MCU (there is no pre-trained fixed model) in-situ learning. I think this is quite unique.
e) applying all of the above on a ST Microsystems development board (nucleo 32) to deliver a POC prototype
I am curious to hear what you think of the above and hope the admin won't nick me out for my English question here.
I was wondering if someone could help me out in brainstorming ideas and thinking of solutions around the application of machine learning on an ARM Cortex M MCU.
So the question in which field would you see an application if you can have
a) one or more sensors (accelerometer, gyroscope, hall sensor etc)
b) an ARM Cortex MCU
c) a software which let's you give the MCU a context of the sensor data and consequently the behaviour you want to look at
d) the actual learning happens on the MCU (there is no pre-trained fixed model) in-situ learning. I think this is quite unique.
e) applying all of the above on a ST Microsystems development board (nucleo 32) to deliver a POC prototype
I am curious to hear what you think of the above and hope the admin won't nick me out for my English question here.
Hi. Could you give us more detailed explanation, at least what touches items c) and d)? What is a general point of your project? Kind of IMU? Why it needs ML?
ВТ
Hi guys, I am new to this to group here.
I was wondering if someone could help me out in brainstorming ideas and thinking of solutions around the application of machine learning on an ARM Cortex M MCU.
So the question in which field would you see an application if you can have
a) one or more sensors (accelerometer, gyroscope, hall sensor etc)
b) an ARM Cortex MCU
c) a software which let's you give the MCU a context of the sensor data and consequently the behaviour you want to look at
d) the actual learning happens on the MCU (there is no pre-trained fixed model) in-situ learning. I think this is quite unique.
e) applying all of the above on a ST Microsystems development board (nucleo 32) to deliver a POC prototype
I am curious to hear what you think of the above and hope the admin won't nick me out for my English question here.
I was wondering if someone could help me out in brainstorming ideas and thinking of solutions around the application of machine learning on an ARM Cortex M MCU.
So the question in which field would you see an application if you can have
a) one or more sensors (accelerometer, gyroscope, hall sensor etc)
b) an ARM Cortex MCU
c) a software which let's you give the MCU a context of the sensor data and consequently the behaviour you want to look at
d) the actual learning happens on the MCU (there is no pre-trained fixed model) in-situ learning. I think this is quite unique.
e) applying all of the above on a ST Microsystems development board (nucleo 32) to deliver a POC prototype
I am curious to hear what you think of the above and hope the admin won't nick me out for my English question here.
So are you going to execute machine learning framework on microcontroller?
MR
Василий Теркин
So are you going to execute machine learning framework on microcontroller?
Correct
MR
Hi. Could you give us more detailed explanation, at least what touches items c) and d)? What is a general point of your project? Kind of IMU? Why it needs ML?
ML stands for machine learning
DP
А такой странный вопрос, может кто копался — а uboot умеет грузить произвольное ядро, сделанное по спецификации multiboot[2] , или для не-x86 нужно специализированный заголовок ядра?
MR
Hi. Could you give us more detailed explanation, at least what touches items c) and d)? What is a general point of your project? Kind of IMU? Why it needs ML?
There is a French software company called cartesiam.ai and they have developed a software solution which I think is quite unique.
I saw a company in France adding ML to their existing product of vibration recognition and they were able to increase the price from 50€device to 700€ per device.
So I am trying to gather as many as possible ideas similar to the above
I saw a company in France adding ML to their existing product of vibration recognition and they were able to increase the price from 50€device to 700€ per device.
So I am trying to gather as many as possible ideas similar to the above