Mitigating High-Frequency Geometric Noise in Non-Parametric 1-Bit Sparse (opens in new tab)

Energy-efficient neuromorphic computing requires alternative data-encoding paradigms that bypass power-hungry floating-point operations. This paper evaluates a deterministic, non-parametric dual-manifold execution framework that maps dense 128-element integer vectors - representing digitized multi-frequency trigonometric waveforms - into a 1024-dimensional overcomplete space using 8-bit bounded transformation matrices. By enforcing a hard activa...