Qualcomm incorporated (20240204889). IN-PHASE/QUADRATURE SIGNAL FILTERING IN WIRELESS COMMUNICATION simplified abstract
Contents
IN-PHASE/QUADRATURE SIGNAL FILTERING IN WIRELESS COMMUNICATION
Organization Name
Inventor(s)
Ronen Shaked of Kfar Saba (IL)
IN-PHASE/QUADRATURE SIGNAL FILTERING IN WIRELESS COMMUNICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240204889 titled 'IN-PHASE/QUADRATURE SIGNAL FILTERING IN WIRELESS COMMUNICATION
The abstract describes an apparatus for wireless communication that includes a memory and a processor. The processor is designed to receive signals to determine frequency-dependent in-phase quadrature imbalance (FDIQI) estimates, generate these estimates, and transmit them to a network node.
- The apparatus is equipped with a memory and processor for wireless communication.
- The processor receives signals to calculate frequency-dependent in-phase quadrature imbalance (FDIQI) estimates.
- Based on the signals received, the processor generates FDIQI estimates.
- The FDIQI estimates are then transmitted to a network node for further processing.
Potential Applications: - This technology can be used in wireless communication systems to improve signal quality and performance. - It can be applied in 5G networks to enhance data transmission efficiency. - The apparatus can be integrated into IoT devices for reliable and stable wireless connectivity.
Problems Solved: - Addresses issues related to frequency-dependent in-phase quadrature imbalance in wireless communication systems. - Improves the accuracy of signal processing and data transmission. - Enhances the overall performance of wireless networks.
Benefits: - Improved signal quality and reliability. - Enhanced data transmission efficiency. - Better overall performance of wireless communication systems.
Commercial Applications: Title: "Enhancing Wireless Communication Systems with FDIQI Estimation Technology" This technology can be commercially used in telecommunications companies, IoT device manufacturers, and network infrastructure providers. It can lead to more reliable and efficient wireless communication systems, attracting customers looking for high-performance connectivity solutions.
Questions about FDIQI Estimation Technology: 1. How does FDIQI estimation technology impact the overall performance of wireless communication systems?
- FDIQI estimation technology improves signal quality and data transmission efficiency, leading to better performance in wireless networks.
2. What are the potential challenges in implementing FDIQI estimation technology in existing wireless communication systems?
- Challenges may include compatibility issues with older systems, integration complexities, and the need for specialized hardware or software updates.
Original Abstract Submitted
an apparatus for wireless communication includes a memory and a processor coupled to the memory. the processor is configured to: receive one or more signals for determining frequency dependent in-phase quadrature imbalance (fdiqi) estimates; generate one or more fdiqi estimates based on the one or more signals; and transmit the one or more fdiqi estimates to a network node.
