Abstract: A precharge method for a data driver includes steps of: outputting a display data to a plurality of output terminals of the data driver; outputting a second precharge voltage to an output terminal among the plurality of output terminals prior to outputting the display data to the output terminal, to precharge the output terminal to a voltage level closer to an output voltage; and outputting a first precharge voltage to the output terminal prior to outputting the second precharge voltage. The first precharge voltage provides a faster voltage transition on the output terminal than the second precharge voltage.

Abstract: A virtual metrology method using a convolutional neural network (CNN) is provided. In this method, a dynamic time warping (DTW) algorithm is used to delete unsimilar sets of process data, and adjust the sets of process data to be of the same length, thereby enabling the CNN to be used for virtual metrology. A virtual metrology model of the embodiments of the present invention includes several CNN models and a conjecture model, in which plural inputs of the CNN model are sets of time sequence data of respective parameters, and plural outputs of the CNN models are inputs to the conjecture model.

Abstract: This disclosure provides a lens assembly that has an optical path and includes a lens element and a light-blocking membrane layer. The lens element has an optical portion, and the optical path passes through the optical portion. The light-blocking membrane layer is coated on the lens element and adjacent to the optical portion. The light-blocking membrane layer has a distal side and a proximal side that is located closer to the optical portion than the distal side. The proximal side includes two extension structures and a recessed structure. Each of the extension structures extends along a direction away from the distal side, and the extension structures are not overlapped with each other in a direction in parallel with the optical path. The recessed structure is connected to the extension structures and recessed along a direction towards the distal side.

Abstract: A pulse radar ranging apparatus and a ranging algorithm thereof are provided. The pulse radar ranging apparatus includes a radio frequency pulse generator, a radio frequency filter, a radio frequency switch and a transceiver aerial. The radio frequency pulse generator generates a pulse signal. The radio frequency filter receives the pulse signal and generates a high-pass filter signal, wherein the high-pass filter signal includes a radio frequency pulse reference signal. The radio frequency switch controls an output of the radio frequency pulse reference signal. The transceiver aerial transmits the radio frequency pulse reference signal. The radio frequency pulse reference signal contacts an object and generates a return signal, and the transceiver aerial receives the return signal. The ranging algorithm processes and analyzes the signals obtained by the pulse radar ranging apparatus, and calculates a distance between pulse radar ranging apparatus and the object by using polynomial interpolation.

Abstract: A symbol rate testing method based on signal waveform analysis is provided. A signal with a plurality of quasi bits 1 and a plurality of quasi bits 0 is received and sampled within an acquiring time. Maximum values of the quasi bits 1 are obtained by calculating sampling values of the signal at various sampling points. A minimum value among the maximum values is determined as a critical value. Whether a quasi bit 1 is a bit 1 or not is determined according to the critical value, and a total number of the bits 1 within the acquiring time is counted. Similarly, a number of the bits 0 within the acquiring time are also obtained. Thus, the symbol rate is obtained according to the above information.

Abstract: A symbol rate testing method based on signal waveform analysis is provided. A signal with a plurality of quasi bits 1 and a plurality of quasi bits 1 is received and sampled within an acquiring time. Maximum values of the quasi bits 1 are obtained by calculating sampling values of the signal at various sampling points. A minimum value among the maximum values is determined as a critical value. Whether a quasi bit 1 is a bit 1 or not is determined according to the critical value, and a total number of the bits 1 within the acquiring time is counted. Similarly, a number of the bits 0 within the acquiring time are also obtained. Thus, the symbol rate is obtained according to the above information.