application of empirical mode decomposition with local linear quantile regression in financial time series forecasting this paper mainly forecasts the daily closing price of stock markets we propose a twostage technique that combines the empirical mode decomposition emd with nonparametric methods of local linear quantile llq we use the proposed technique emdllq to forecast two stock index time series detailed experiments are implemented for the proposed method in which emdlpq emd and holtwinter methods are compared the proposed emdlpq model is determined to be superior to the emd and holtwinter methods in predicting the stock closing prices infrared imaging with a wavefrontcoded singlet lens we describe the use of wavefront coding for the mitigation of optical aberrations in a thermal imaging system diffractionlimited imaging is demonstrated with a simple singlet which enables an approximate halving in length and mass of the optical system compared to an equivalent twoelement lens