Adaptive cancellation uses error-driven parameter updates to remove strong interference and recover weak signals in dynamic communication links.
Adaptive parametric cancellation uses error feedback to suppress strong interfering signals and recover weak-signal data in changing links.
Continuous blind IQ balancing and adaptive NZIF selection reduce DC offset, bit errors, and adjacent channel interference in direct conversion receivers.
A two-step autocorrelation and spectral factorization approach gives FIR filters globally minimax-optimal magnitude response for non-linear phase designs.
NRZ-specific noise prediction filters and equalizers cut read errors, improving BER/SFR without slowing data throughput.
Correlating and accumulating delayed signal copies helps distinguish valid periodic references from noise spikes, improving LTE detection sensitivity.
Difference-based correlation estimates feedback-signal delay at identical timings, improving distortion compensation with lower circuit complexity.