Abstract: Disclosed are a liquid colored oil and a colored polyamide fiber. The liquid colored oil contains a colorant and a base oil agent. The base oil agent is a liquid at normal temperature and normal pressure, and a solubility parameter (SP) value thereof is 7.5 to 15.0. The colored polyamide fiber contains the aforementioned liquid colored oil. The liquid color oil can be stably added into polymers and dye them during the spinning process. The colored polyamide fiber has excellent spinning and dyeing properties.

Abstract: A display device includes: a frame, including a frame body, a first protrusion disposed on the frame body, and a second protrusion disposed on the frame body, the second protrusion including at least one stepped portion; a display panel, located on a side of one stepped portion of the at least one stepped portion close to a light emitting surface of the display device and located on an inner side of the frame body; and a planar back housing, fixed on the inner side of the frame body and a side of the first protrusion away from the light emitting surface.

Abstract: A phase calibration method includes: segmenting a received measurement sequence according to a preset rule; respectively determining a phase calibration factor of each of segmented measurement sequences, wherein the each of the segmented measurement sequences respectively corresponds to a segmented phase; and when performing a phase calibration on a sequence to be verified, according to a matching relation between a phase of the sequence to be verified and the each of the segmented phases, using the phase calibration factor corresponding to a matched segmented phase to perform the phase calibration on the sequence to be verified. The embodiments of the phase calibration method and the device are equivalent to dividing a non-linear measurement sequence into several approximately linear measurement sequences, and then calibrating each of the several approximately linear measurement sequences using a corresponding phase calibration factor respectively.

Abstract: A phase calibration method includes: segmenting a received measurement sequence according to a preset rule; respectively determining a phase calibration factor of each of segmented measurement sequences, wherein the each of the segmented measurement sequences respectively corresponds to a segmented phase; and when performing a phase calibration on a sequence to be verified, according to a matching relation between a phase of the sequence to be verified and the each of the segmented phases, using the phase calibration factor corresponding to a matched segmented phase to perform the phase calibration on the sequence to be verified. The embodiments of the phase calibration method and the device are equivalent to dividing a non-linear measurement sequence into several approximately linear measurement sequences, and then calibrating each of the several approximately linear measurement sequences using a corresponding phase calibration factor respectively.

Abstract: Disclosed are a method and apparatus for demodulating a signal. The method comprises: obtaining a received signal, wherein the received signal comprises a phase noise signal; establishing a likelihood probability ratio integral model on the basis of the received signal and a preset phase noise parameter, wherein the phase noise parameter represents the phase noise signal and is a random variable; performing phase rotation angle extraction and transformation processing and discretization processing on the likelihood probability ratio integral model to obtain a likelihood probability ratio discrete model, wherein the phase rotation angle represents the phase rotation angle obtained on the basis of the phase noise signal; and determining a likelihood probability ratio corresponding to the received signal on the basis of the likelihood probability ratio discrete model to obtain a demodulation result.

Abstract: Disclosed are a method and apparatus for demodulating a signal. The method comprises: obtaining a received signal, wherein the received signal comprises a phase noise signal; establishing a likelihood probability ratio integral model on the basis of the received signal and a preset phase noise parameter, wherein the phase noise parameter represents the phase noise signal and is a random variable; performing phase rotation angle extraction and transformation processing and discretization processing on the likelihood probability ratio integral model to obtain a likelihood probability ratio discrete model, wherein the phase rotation angle represents the phase rotation angle obtained on the basis of the phase noise signal; and determining a likelihood probability ratio corresponding to the received signal on the basis of the likelihood probability ratio discrete model to obtain a demodulation result.