18513821. SIGNAL PROCESSING METHOD AND APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
SIGNAL PROCESSING METHOD AND APPARATUS
Organization Name
Inventor(s)
SIGNAL PROCESSING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18513821 titled 'SIGNAL PROCESSING METHOD AND APPARATUS
Simplified Explanation
The patent application describes a signal processing method where a secondary node determines similarity degrees between data collected by itself and data collected by multiple primary nodes, and then selects a target primary node based on these similarity degrees.
- Secondary node obtains first data and multiple pieces of second data
- Secondary node calculates similarity degrees between first data and second data
- Secondary node selects target primary node based on similarity degrees
Potential Applications
This technology can be applied in various fields such as telecommunications, sensor networks, and data analysis.
Problems Solved
This technology helps in efficiently selecting a primary node for further data processing based on similarity degrees, improving overall system performance.
Benefits
- Enhanced data processing efficiency - Improved system performance - Optimal selection of primary nodes for processing
Potential Commercial Applications
Optimizing data processing in IoT networks for improved performance and efficiency.
Original Abstract Submitted
Embodiments of this application provide a signal processing method, it includes: a secondary node obtains first data and a plurality of pieces of second data; then, the secondary node determines a plurality of first similarity degrees based on the first data and the plurality of pieces of second data; and then, the secondary node determines a target primary node based on the plurality of first similarity degrees. The first data is power frequency cycle feature data collected by the secondary node in a target time period, the plurality of pieces of second data are power frequency cycle feature data respectively collected by a plurality of primary nodes in the target time period.
