… To achieve this objective, a least mean square (LMS) filter is used for a dual prediction … node
and consequently will update the coefficients of the filter. It is observed that, with this scheme…

… ground filtration method for the loader crane environment monitoring system. The falling prices
of … In the presented filtering solution, we use characteristic scan pattern properties, the dot …

… monitoring filter to 300 and the step size to 0.04. In all subsequent cases … monitoring and
correction we use 300 filter coefficients for the monitoring filter, while in the cases of monitoring …

… μ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. …
surface in improving the performance of these adaptive filters. The main criterion for optimal …

… the determination of occupancy of the monitored area by means of prediction … LMS algorithm
was used to filter the predicted course in order to determine the occupancy of the monitored …

… system for implementing ANC system like digital filter, anti-aliasing filter, ADC, DAC etc also
… No doubt, such system becomes much complex as it involves many circuitries for monitoring …

… LMS (N-LMS) adaptive filter to enhance the PLL response in non-ideal voltage conditions.
The N-LMS filter is chosen here over the LMS filter … the SPV system to monitor the algorithm’s …

… IoT applications including environmental monitoring (eg … of two decoupled LMS windowed
filters with differing sizes … dual prediction approach based on LMS filters that requires no prior …

… Data prediction in WSN using adaptive filters has … LMS algorithm for quality-based data
reduction in WSN. However, our studies presented in the current paper will show that the LMS …

… In Figure 10c , the raw data is the environment data collected from sensors directly and the
filtered data have been rectified through an LMS filter. The trend of temperature in the contrast …