The short-time linear canonical transform (STLCT) is a novel time-frequency analysis tool. In this paper, we generalize some different uncertainty principles for the STLCT of complex signals. Firstly, new principle signals in time and frequency domains explored. Secondly, an two obtained. They show that lower bounds are related to covariance can be achieved by chirp with Gaussian Then condition...