Abstract: In a multi-channel signal encoding method, a current frame includes a first sound channel and a second sound channel. First group information of M blocks of the first sound channel and second group information of M blocks of the second sound channel are obtained. When the first group information and the second group information meet a preset condition, first adjusted group information and second adjusted group information are obtained based on the first group information and the second group information. Then, a first to-be-encoded spectrum is obtained based on the first adjusted group information and the spectrums of the M blocks of the first sound channel. Similarly, a second to-be-encoded spectrum may be obtained. Finally, the first to-be-encoded spectrum and the second to-be-encoded spectrum are encoded by using an encoding neural network to obtain a spectrum encoding result. The spectrum encoding result may be carried by a bitstream.

Abstract: A calculation system for predicting a proppant embedding depth based on a shale softening effect is provided, including a sampling test terminal, a scheduling module, a monitoring module, and a calculation module, wherein the scheduling module, the monitoring module, and the calculation module are connected in communication, and the monitoring module is connected to an external operating system through a wireless network, wherein the external operating system is configured to perform a hydraulic fracturing operation and receive a first control signal and/or a second control signal from the monitoring module. The sampling test terminal is configured to test the samples and obtain test data. The scheduling module is configured to determine a target construction parameter.

Abstract: A bit allocation method and apparatus for an audio object are disclosed, which relate to the field of audio encoding and decoding technologies. The method includes: separately pre-rendering a plurality of audio objects to be pre-rendered in an audio frame, to obtain a plurality of pre-rendered audio objects; obtaining respective perceptual importance parameter values of the plurality of pre-rendered audio objects; obtaining a bit allocation parameter value of a current audio object to be pre-rendered based on the respective perceptual importance parameter values of the plurality of pre-rendered audio objects; and determining, based on the bit allocation parameter value of the current audio object to be pre-rendered and a total quantity of to-be-allocated bits corresponding to the plurality of audio objects to be pre-rendered, a target quantity of bits allocated to the current audio object to be pre-rendered.

Abstract: The present disclosure relates to a calculation method for predicting a proppant embedding depth based on a shale softening effect, including determining a spontaneous imbibition depth-soaking time curve; determining a Young’s modulus-soaking time curve of core surfaces; establishing a proppant embedding model containing a softened layer by a finite element method; conducting a numerical simulation to obtain an embedding volume-soaking time curve; and obtaining a calculation formula for a proppant embedding volume considering a softening effect.

Abstract: A linear prediction coding (LPC) parameter coding method is provided. The method includes: determining a reference LPC parameter from a plurality of LPC parameters, performing direct coding on the reference LPC parameter, and performing reference coding on a non-reference LPC parameter based on the determined LPC parameter. The method includes: obtaining a direct coding result of the reference LPC parameter and determining a residual coding result of the non-reference LPC parameter.