Digital harmonic estimation with analog cancellation suppresses ECG power line noise in real time, reducing delay and improving T-wave identification.
Phase-difference learning lets a multi-antenna receiver identify unknown transmitters and steer antenna nulls to suppress jamming and spoofing.
Regenerating interfering OFDM time-domain samples and subtracting them after FFT reduces residual cross-numerology interference in 5G NR.
Iterative error feedback refines IQ mismatch correction across active frequency bins, improving zero-IF receiver signal accuracy.
Power delay profile and FFT window decisions help manage active sets in OFDM networks to limit ISI, preserve SINR, and avoid excess signaling.
Dual complex baseband filters with a combiner enable independent gain control, jammer filtering, and lower noise in carrier aggregation.
Correlating powered victim and offending signal magnitudes reveals non-linear interference without frequency shifting or complex synthesis.
Regenerating interfering OFDM samples before FFT reduces residual overlap between mixed numerologies and improves desired-signal recovery.