Introduces an ultra-lightweight ZTree classifier for ten 6G waveforms achieving 99.5% AWGN accuracy and 87.4% multipath accuracy with under 4 ms latency on x86, claimed as first real-time ten-type recognizer.
WaveNet: Toward waveform classification in integrated radar-communication systems with improved accuracy and reduced complexity
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TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices
Introduces an ultra-lightweight ZTree classifier for ten 6G waveforms achieving 99.5% AWGN accuracy and 87.4% multipath accuracy with under 4 ms latency on x86, claimed as first real-time ten-type recognizer.