Cargando…
Improving the Response of Accelerometers for Automotive Applications by Using LMS Adaptive Filters
In this paper, the least-mean-squares (LMS) algorithm was used to eliminate noise corrupting the important information coming from a piezoresisitive accelerometer for automotive applications. This kind of accelerometer is designed to be easily mounted in hard to reach places on vehicles under test,...
Autores principales: | Hernandez, Wilmar, de Vicente, Jesús, Sergiyenko, Oleg, Fernández, Eduardo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270843/ https://www.ncbi.nlm.nih.gov/pubmed/22315542 http://dx.doi.org/10.3390/s100100313 |
Ejemplares similares
-
Improving the Response of Accelerometers for Automotive Applications by Using LMS Adaptive Filters: Part II
por: Hernandez, Wilmar, et al.
Publicado: (2010) -
Efficient implementation of LMS adaptive filter-based FECG extraction on an FPGA
por: Vasudeva, Bhavya, et al.
Publicado: (2020) -
A Survey on Optimal Signal Processing Techniques Applied to Improve the Performance of Mechanical Sensors in Automotive Applications
por: Hernandez, Wilmar
Publicado: (2007) -
Algorithmic Error Correction of Impedance Measuring Sensors
por: Starostenko, Oleg, et al.
Publicado: (2009) -
Improving the Response of a Load Cell by Using Optimal Filtering
por: Hernandez, Wilmar
Publicado: (2006)