Huawei technologies co., ltd. (20240097956). PROJECTED SIGNALS USING DISCRETE PROLATE SPHEROIDAL SEQUENCES simplified abstract

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PROJECTED SIGNALS USING DISCRETE PROLATE SPHEROIDAL SEQUENCES

Organization Name

huawei technologies co., ltd.

Inventor(s)

Nassar Ksairi of Boulogne Billancourt (FR)

Merouane Debbah of Boulogne Billancourt (FR)

PROJECTED SIGNALS USING DISCRETE PROLATE SPHEROIDAL SEQUENCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240097956 titled 'PROJECTED SIGNALS USING DISCRETE PROLATE SPHEROIDAL SEQUENCES

Simplified Explanation

The abstract describes a patent application related to signal processing using prolate spheroidal sequences. The device obtains input samples, projects them onto a set of sequences, and generates a signal based on the projected samples. Another device receives the signal, processes it using the same set of sequences, and detects the signal based on the processed samples.

  • Device obtains input samples and projects them onto a set of sequences
  • Signal is generated based on the projected samples
  • Another device receives the signal, processes it using the same set of sequences, and detects the signal based on the processed samples

Potential Applications

This technology could be applied in various fields such as telecommunications, radar systems, and audio signal processing.

Problems Solved

This technology helps in efficiently processing signals and detecting them accurately in noisy environments.

Benefits

The use of prolate spheroidal sequences improves signal processing accuracy and robustness.

Potential Commercial Applications

Potential commercial applications include wireless communication systems, radar systems, and audio processing devices.

Possible Prior Art

One possible prior art could be the use of other types of sequences for signal processing, such as Fourier sequences or Walsh sequences.

Unanswered Questions

How does the device handle variations in signal strength?

The abstract does not mention how the device adjusts for variations in signal strength during processing.

What is the computational complexity of the signal processing algorithm?

The abstract does not provide information on the computational complexity of the algorithm used for signal processing.


Original Abstract Submitted

a device may obtain a sequence of input samples. the device may further obtain a first set of sequences, which may be based on discrete prolate spheroidal sequences associated with eigenvalues having a value larger than a first threshold. the device may determine a first projected sample sequence comprising a projection of the sequence of input samples to the first set of sequences and generate a signal based on the first projected sample sequence. another device may determine a window of received samples of the signal and project the window of received samples to the first set of sequences or filter the window of received samples to obtain a first sample sequence. the detection of the received signal may then be performed based on the first sample sequence.