Abstract: The present application provides an optical module, a near-eye display module and apparatus, and a manufacturing method of a near-eye display module. The optical module includes: a first reflection window configured to reflect light; a second reflection window spaced apart at an opposite end of the first reflection window, where the second reflection window faces the first reflection window and receives light reflected from the first reflection window; an entrance window arranged at the center of the second reflection window and aligned with the first reflection window, the entrance window being configured to allow light to be incident into a space formed by the first reflection window and the second reflection window; and an exit window surrounding the first reflection window, the exit window being arranged opposite to the second reflection window, and the entrance window being configured to mount a micro-display.

Abstract: A digital filter function requires many coefficient multiplications. Instead of implementing the multiplications individually as multipliers, they may be implemented using traverse or shift operations. This approach uses the relation among the coefficients of the digital filter to reduce required hardware. A disclosed digital filter uses scalers and sample combiners for processing samples of a digital input stream. Each scaler scales a respective input sample from one of the combiners, preferably by a different power of 2. The combining circuits combine sets of samples, from the digital input stream and from the digital output of the filter, to form the input samples for processing by the scalers. An adder totals the respective scaled values, to form the digital output stream of the filter. The digital filter may be used in a variety of digital signal processing applications, but is particularly useful in low-power portable devices, such as wireless spread-spectrum receivers.

Abstract: A demodulator system for a receiver in a multiple user-code spread-spectrum system, such as in a CDMA base station, utilizes a Quasi-Newtonian optimization routine to identify received codes and recover user data based on detected correlations between the received spread-spectrum signal and a set of the possible codes available to users of the system. The preferred optimization routine is a Davis-Fletcher-Powell (DFP) routine.