4 results about "Hierarchical modulation" patented technology

The present application belongs to the technical field of virtual reality simulation, and particularly relates to a pre-rendering method based on intelligent cockpit attitude prediction, comprising the following steps: establishing an instruction flow continuous analysis module at the entrance of a rendering pipeline; in response to detecting a turning event trigger point, analyzing the instruction queue after turning, extracting the angular acceleration sequence corresponding to the target attitude sequence, and extracting the time domain parameters including the acceleration segment length, the uniform speed segment length and the deceleration segment length on the angular acceleration sequence; constructing a nonlinear transition coefficient aligned with the phase of the platform real motion trajectory based on the time domain parameters, and performing hierarchical modulation on the nonlinear transition coefficient based on the depth buffer of the current frame to generate a pixel-by-pixel depth perception mixing coefficient. The present application eliminates the systematic visual attitude deviation caused by the linear mixing scheme and reduces the false artifacts of layer sliding at the depth boundary.

This invention discloses a method and system for predicting the transmittance of flexible glass based on neural networks and enzyme optimization algorithms. The method includes: acquiring component data, multi-stage process parameters, and transmittance data of historical samples of flexible glass; constructing the modulation effect of component data on the process parameters, acquiring optimized component data, and converting it into feature description vectors; establishing a transmittance prediction model using the feature description vectors as input and the transmittance data as output, and introducing an enzyme optimization algorithm to optimize hyperparameters; and inputting the feature description vectors of the component data to be predicted to obtain the predicted transmittance value. This method achieves differentiated hierarchical modulation by constructing different component domains and component feature maps with physical semantics, and optimizes the model through an enzyme optimization algorithm, ensuring the continuity of performance mapping and improving model accuracy and interpretability. It effectively solves the problems of coarse feature representation, submersion of low-dimensional process features, poor interpretability, and low accuracy in existing technologies.

The application discloses a kind of photonic terahertz communication systems based on semantic compression and weight hierarchical modulation, the external cavity laser ECL1 of the sending end is connected with IQ modulator, provides continuous optical carrier;IQ modulator is simultaneously connected to TX-DSP module, and the compressed sub-block of image is generated by applying semantic compression method, after weight evaluation, compressed sub-block is modulated to basic layer and additional layer in descending order respectively, and SCHM-QAM constellation point baseband signal is obtained, drive IQ modulator to modulate optical carrier, and be coupled with the continuous light wave that external cavity laser ECL2 outputs, after transmission to amplifier, input to single row carrier photoelectric detector and beat frequency, and terahertz signal is obtained, after receiving end receives terahertz signal and local signal are mixed, and after obtaining base frequency signal, input to RX-DSP module, weight hierarchical demodulation and semantic decompression etc. Operation, and the original data is obtained.The application removes redundant information and improves transmission efficiency, improves system transmission capacity, and guarantees information recovery quality.