Wow.. The older I get the more I realize what I don't know... Your lessons and teaching style are fabulous. Thank you for helping keep the brain cob webs at bay ..
Paul, personally, I appreciate the deep dive immensely! it really pushes the thought a creativity as to what can be done to resolve issues such as these! You brought up in the chat a possible interest in doing a video on antennas. Doing more and more wireless work with these devices you are teaching, a tutorial on antenna design and implementation would be a fantastic addition! Thank you and God Bless!
Great lesson, love the detail into the MPU. It's almost impossible to find this kind of content anywhere else . Please continue. Is there a way to change UA-cam's outlook on this sort of video. If so, I'm happy to help.
Two thoughts regarding improving response and rejecting noise: 1) How about using an exponentially declining moving average? 2) Would using the gyros result in better response as they are sensitive to changes in angular momentum and less so to axial displacement?
As we will see, the real way to solve the problem is by using the gyro. The challenge then becomes how to combine, or fuse the accelerometer and gyro data for the ultimate solution.
How can we determine the confval so Paul, I still don't understand why the confval is 10%, I must have calculated or relied on something to determine the value of the confval
Hi Paul. I followed your 2019 explanation of Low Pass filters (9 axis IMU) so I’ve been using them since we started with the 6050. Here’s the latest instance (Lesson 46 homework) ua-cam.com/video/pw6EfK6vdss/v-deo.html And, since you asked, I am not weary of this sensor yet. We haven't even touched on the gyroscope functions. I imagine that's next. A MEMS gyroscope !! That will be interesting. I wouldn't be surprised if the gyro brought back some of the 'snap' you're looking for. Thanks Paul
Wow.. The older I get the more I realize what I don't know... Your lessons and teaching style are fabulous. Thank you for helping keep the brain cob webs at bay ..
I am enjoying exploring the depth of these lessons!
Paul, personally, I appreciate the deep dive immensely! it really pushes the thought a creativity as to what can be done to resolve issues such as these!
You brought up in the chat a possible interest in doing a video on antennas. Doing more and more wireless work with these devices you are teaching, a tutorial on antenna design and implementation would be a fantastic addition!
Thank you and God Bless!
I really enjoy and benefit from these lessons. Please continue. Thanks a lot!
Thanks Paul! Great Lesson, in answer to your question, no, I am not afraid of Math...Keep it coming
Keep the engineering in there! Also,
these basic statistics of low pass filters etc, which will be quite useful.
Excellent lesson.. ❤
Great lesson, love the detail into the MPU. It's almost impossible to find this kind of content anywhere else . Please continue. Is there a way to change UA-cam's outlook on this sort of video. If so, I'm happy to help.
I love your work!!!
Two thoughts regarding improving response and rejecting noise: 1) How about using an exponentially declining moving average? 2) Would using the gyros result in better response as they are sensitive to changes in angular momentum and less so to axial displacement?
As we will see, the real way to solve the problem is by using the gyro. The challenge then becomes how to combine, or fuse the accelerometer and gyro data for the ultimate solution.
Will these lessons work with the esp32 love your lessons keep up the good work
Thank you Paul!
How can we determine the confval so Paul, I still don't understand why the confval is 10%, I must have calculated or relied on something to determine the value of the confval
Hi Paul. I followed your 2019 explanation of Low Pass filters (9 axis IMU) so I’ve been using them since we started with the 6050. Here’s the latest instance (Lesson 46 homework) ua-cam.com/video/pw6EfK6vdss/v-deo.html
And, since you asked, I am not weary of this sensor yet. We haven't even touched on the gyroscope functions. I imagine that's next. A MEMS gyroscope !! That will be interesting. I wouldn't be surprised if the gyro brought back some of the 'snap' you're looking for. Thanks Paul
LEGEND!
Nope,folded up.