{
"item_title" : "Intuitive Understanding of Kalman Filtering with MATLAB(R)",
"item_author" : [" Armando Barreto", "Malek Adjouadi", "Francisco Ortega "],
"item_description" : "The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, which are being applied in embedded systems and Internet-of-Things devices, has brought techniques such as Kalman Filtering, capable of combining information from multiple sensors or sources, to the interest of students and hobbyists. ",
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Intuitive Understanding of Kalman Filtering with MATLAB(R)
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Overview
The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, which are being applied in embedded systems and Internet-of-Things devices, has brought techniques such as Kalman Filtering, capable of combining information from multiple sensors or sources, to the interest of students and hobbyists.
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Details
- ISBN-13: 9780367191337
- ISBN-10: 0367191334
- Publisher: CRC Press
- Publish Date: September 2020
- Dimensions: 9.21 x 6.14 x 0.52 inches
- Shipping Weight: 0.78 pounds
- Page Count: 230
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