The paper proposes a nonlinear regression approach with sound level residual error least-squares for evaluating reverberation times,when reverberation decay curves are obtained by the backward integration of room impulse responses.

Application of neural network-based corrected intelligent residual error gray models to load forecast;

Application of Residual Error Gray Forecast Model on Logistics Demand Forecast;

Grey residual error model of highway traffic accident forecast

Based on the residue theorem of Interferometric SAR,in depth analysis and detailed description of Branch Cut algorithm,one of the most popular InSAR phase unwrapping approaches,has been given in this paper.

Based on analyzing the characteristics of residue,the Letts criterion method was used to an identify an outlier.

In order to achieve an optimal trade-off between the robustness against unknown inputs and the fault detectability,an observer-based residue generation and fault detection method applying sliding mode observer is presented in this paper.