Table 6 Performance for different designs of \(\bar {\boldsymbol {\alpha }}_{\ell }\): if no derivatives are considered, \(\bar {\boldsymbol {\alpha }}_{\ell }\) is composed of angular positions only. If one derivative is considered, \(\bar {\boldsymbol {\alpha }}_{\ell }\) contains angular positions and their first order temporal derivatives. For this experiment, ego-noise caused by movements of Sequence II is used, SNR=0 dB, K=30, K_S=20, ε=5·10⁻³, λ_T=0.9, and λ_E=2

From: Motor data-regularized nonnegative matrix factorization for ego-noise suppression