"LSTT"

"    This paper has an active content program named \u201creal_rapidtest_LSTT_mdl.\u201d All three files must be in the same folder in order for the demonstration to run correctly. The file names are: 01.csv, Code_LSTT.slx, and test_wave01.m. This paper includes an active content program named \"real_rapidtest_LSTT_mdl\". The AFD_60Hz_data constitutes another closely related dataset in the paper, available for readers to test as needed. sysdetA.m is a stability proof file.    Unlike traditional filters (LMS, RLS, Kalman), which are mostly single-path or open-loop structures, LSTT adopts a relatively novel design featuring closed-loop feedback with dual-loop separation. Whereas conventional methods such as least squares impose statistical constraints on finite datasets, LSTT expands this concept into a control problem for real-time infinite-length sequences, offering practical engineering value. While traditional adaptive filters like Kalman rely on statistical assumptions (e.g., Gaussian noise and known covariance), LSTT's boundary-driven adaptation demonstrates greater robustness to non-stationary and unknown noise. This paper models LSTT as a linear time-invariant system, providing theoretical stability boundaries for this novel dual-loop structure, rather than relying solely on experimental parameter tuning."