A receiver equalizer adapts its observation length to process non-orthogonal multicarrier signals efficiently.
Deep neural networks estimate per-subcarrier coefficients to reverse signal distortion, improving receiver performance under challenging channel conditions.
A packet receiver divides reception samples into sub-strings using midamble location data for separate channel equalization processing.
Integrating a continuous time linear equalizer with a voltage mode driver compensates for high-frequency channel losses to lower bit error rates.
Adaptive equalizer circuitry jointly adapts continuous time and discrete time equalizers to reduce signal processing latency.
Fixed sequence symbols inserted between data and pilot segments suppress out-of-band spectrum interference while preserving phase continuity.
Adaptive reference symbol mapping optimizes channel estimation in QAM-FBMC systems using dual filter characteristics.
A transmission apparatus inserts fixed symbols to maintain phase and amplitude continuity between blocks.