Abstract: A preparation method for high-strength and low-modulus ?-type Si-containing titanium alloy involves: preparing an alloy component with, in atomic percentage, 60-70% of Ti, 10-20% of Nb, 5-15% of Zr, 1-10% of Ta and 1-5% of Si and using sponge titanium, sponge zirconium, a tantalum-niobium intermediate alloy and silicon as raw materials, and then uniformly smelting the alloy components to obtain a solidified ingot; then, subjecting the resulting ingot to plastic deformation with a deformation temperature of 800-900° C. and a deformation rate of 60-80%, and water-quenching same to room temperature; and finally, heating the resulting test sample to a recrystallization temperature, maintaining the temperature for 1-4 h, and carrying out an annealing treatment and air-cooling same to room temperature to obtain the high-strength and low-modulus ?-type Si-containing titanium alloy. The resulting titanium alloy is more suitable for use as a medical implant material.

Abstract: Embodiments provide a data encoding method, a data decoding method, and a related device. The method includes a transmitting end device that determines N data symbols at a same symbol location of N links of service data, where N is an integer greater than 1, and quantities of bits in all data symbols are the same. The transmitting end device performs forward error correction (FEC) encoding on the N data symbols to obtain a codeword, where the codeword includes the N data symbols and M overhead symbols, M is an integer greater than or equal to 1 and less than or equal to N, and a quantity of bits in each data symbol is the same as a quantity of bits in each overhead symbol. The transmitting end device sends the N data symbols through N service channels, and sends the M overhead symbols through M overhead channels.

Abstract: This application discloses a modulation/demodulation and encoding/decoding method and belongs to the field of communication technologies. The modulation and encoding method includes: grading to-be-transmitted bits into a plurality of levels; encoding a plurality of levels of bits obtained through grading to obtain a plurality of levels of codewords; and mapping the plurality of levels of codewords to a symbol in a staggered manner, where the plurality of levels of codewords include a first codeword, the first codeword is located at a Yth level of the plurality of levels of codewords, and the first codeword overlaps at least one codeword at any level other than the Yth level. In this way, codewords at different levels are associated by using a symbol to which the codewords are mapped, and an overlapping part between a plurality of codewords can assist in demodulating the codewords.

Abstract: A data processing method includes performing first equalization processing on a data stream that comprises a plurality of sub-data stream segments, performing segment de-interleaving on the data stream, separately performing first forward error correction (FEC) decoding on each sub-data stream segment in a data stream, performing, according to an equalization termination state of each sub-data stream segment, second equalization processing on each sub-data stream segment, performing second FEC decoding on the data stream, and outputting the data stream obtained according to the second FEC decoding in response to a preset iteration termination condition being met, or performing, in response to the preset iteration termination condition not being met, according to the equalization termination state of each sub-data stream segment obtained according to the first equalization, the second equalization processing on each sub-data stream segment obtained according to the second FEC decoding.

Abstract: This application provides a signal transmission method and system, and relates to the field of communications technologies. The system includes an equalization module, a first decoder, and a feedback module. The equalization module includes at least two multi-symbol detectors. The feedback module is connected to the first decoder and the at least two multi-symbol detectors. The equalization module performs equalization processing on convolutional data flows to obtain an equalized data flow. In this process, each multi-symbol detector performs multi-symbol detection processing on a convolutional data flow input into the multi-symbol detector. The first decoder decodes the equalized data flow to obtain a decoded data flow. The feedback module feeds back a feedback data flow to the at least two multi-symbol detectors. The equalization module performs equalization processing on the convolutional data flows based on the feedback data flow.

Abstract: The present disclosure provides a method, system, and terminal device for data transmission in an unlicensed spectrum, effectively reduce mutual signal interference between different systems while meeting regulation constraints on use of the unlicensed spectrum. The method in the present disclosure includes: at a processing start moment of a terminal device in a current channel occupancy time window of a network device, when remaining duration of the current channel occupancy time window of the network device is greater than or equal to duration for the terminal device to transmit a to-be-sent data packet to the network device, selecting based on a user attribute of the terminal device and from a mapping relationship between a user attribute and a transmission mode; and sending the to-be-sent data packet to the network device in the selected transmission mode.

Abstract: A data processing method includes performing first equalization processing on a data stream that comprises a plurality of sub-data stream segments, performing segment de-interleaving on the data stream, separately performing first forward error correction (FEC) decoding on each sub-data stream segment in a data stream, performing, according to an equalization termination state of each sub-data stream segment, second equalization processing on each sub-data stream segment, performing second FEC decoding on the data stream, and outputting the data stream obtained according to the second FEC decoding in response to a preset iteration termination condition being met, or performing, in response to the preset iteration termination condition not being met, according to the equalization termination state of each sub-data stream segment obtained according to the first equalization, the second equalization processing on each sub-data stream segment obtained according to the second FEC decoding.

Abstract: An embodiment method includes: performing balancing processing on a data stream that includes a plurality of sub-data stream segments, and performing segment de-interleaving on a data stream obtained after the balancing processing. The method further includes separately performing forward error correction (FEC) decoding on each sub-data stream segment in a data stream obtained after the segment de-interleaving. The method further includes performing, according to a balancing termination state of each sub-data stream segment obtained after previous balancing processing, balancing processing on each sub-data stream segment obtained after the FEC decoding, and performing FEC decoding on the data stream obtained after balancing processing is performed on each sub-data stream segment. When it is determined that a preset iteration termination condition is met, the method includes outputting the data stream obtained after the FEC decoding.

Abstract: This application provides a signal transmission method and system, and relates to the field of communications technologies. The system includes an equalization module, a first decoder, and a feedback module. The equalization module includes at least two multi-symbol detectors. The feedback module is connected to the first decoder and the at least two multi-symbol detectors. The equalization module performs equalization processing on convolutional data flows to obtain an equalized data flow. In this process, each multi-symbol detector performs multi-symbol detection processing on a convolutional data flow input into the multi-symbol detector. The first decoder decodes the equalized data flow to obtain a decoded data flow. The feedback module feeds back a feedback data flow to the at least two multi-symbol detectors. The equalization module performs equalization processing on the convolutional data flows based on the feedback data flow.

Abstract: A signal processing system and method, and an apparatus are provided. A phase recovery apparatus may be used to: receive a feedback signal fed back by an information iteration apparatus, perform, based on the feedback signal, phase recovery on a signal output by an equalizer, and output a phase-recovered signal to a post filtering apparatus, so that the post filtering apparatus performs noise filtering on the phase-recovered signal, and outputs a noise-filtered signal to the information iteration apparatus. To be specific, the phase recovery may be performed, based on the signal fed back by the information iteration apparatus, on the signal output by the equalizer. Because output of the information iteration apparatus is more accurate in determining the signal, precision of the phase recovery can be improved, cycle skipping is reduced, and input signal quality of the post filtering apparatus is improved.

Abstract: Embodiments of the present application relate to a method for implementing Turbo equalization compensation. The equalizer divides a first data block into n data segments, where D bits in two adjacent data segments in the n data segments overlap, performs recursive processing on each data segment in the n data segments, before the recursive processing, merges the n data segments to obtain a second data block; and performs iterative decoding on the second data block, to output a third data block, where data lengths of the first data block, the second data block, and the third data block are all 1/T of a code length of a LDPC convolutional code.

Abstract: The present invention belongs to the field of titanium alloy materials, and disclosed are a high-strength and low-modulus ?-type Si-containing titanium alloy, a preparation method therefor and the use thereof. The preparation method involves: preparing an alloy component with, in atomic percentage, 60-70% of Ti, 10-20% of Nb, 5-15% of Zr, 1-10% of Ta and 1-5% of Si and using sponge titanium, sponge zirconium, a tantalum-niobium intermediate alloy and silicon as raw materials, and then uniformly smelting the alloy component to obtain a solidified ingot; then, subjecting the resulting ingot to high temperature plastic deformation with a deformation temperature of 800-900° C.

Abstract: The present invention discloses a coding and decoding method, apparatus, and system for forward error correction, and pertains to the field of communications. The method includes: determining check matrix parameters of time-varying periodic LDPC convolutional code according to performance a transmission system, complexity of the transmission system, and a synchronization manner for code word alignment, constructing a QC-LDPC check matrix according to the determined check matrix parameters, and obtaining a check matrix (Hc) of the time-varying periodic LDPC convolutional code according to the QC-LDPC check matrix; de-blocking, according to requirements of the Hc, data to be coded, and coding data of each sub-block according to the Hc, so as to obtain multiple code words of the LDPC convolutional code; and adding the multiple code words of the LDPC convolutional code in a data frame and sending the data frame.

Abstract: A decoding apparatus and method. When all the code words in the to-be-decoded group meet that a checksum is 0, forward error correction (FEC) decoding is not performed, and only the sign bit decision is performed. That is, in a process of performing multiple times of decoding on each code word, FEC decoding is not always performed every time. This reduces power consumption required by FEC decoding.

Abstract: The present disclosure provides a method, system, and terminal device for data transmission in an unlicensed spectrum, effectively reduce mutual signal interference between different systems while meeting regulation constraints on use of the unlicensed spectrum. The method in the present disclosure includes: at a processing start moment of a terminal device in a current channel occupancy time window of a network device, when remaining duration of the current channel occupancy time window of the network device is greater than or equal to duration for the terminal device to transmit a to-be-sent data packet to the network device, selecting based on a user attribute of the terminal device and from a mapping relationship between a user attribute and a transmission mode; and sending the to-be-sent data packet to the network device in the selected transmission mode.

Abstract: A signal processing system and method, and an apparatus are provided. A phase recovery apparatus may be used to: receive a feedback signal fed back by an information iteration apparatus, perform, based on the feedback signal, phase recovery on a signal output by an equalizer, and output a phase-recovered signal to a post filtering apparatus, so that the post filtering apparatus performs noise filtering on the phase-recovered signal, and outputs a noise-filtered signal to the information iteration apparatus. To be specific, the phase recovery may be performed, based on the signal fed back by the information iteration apparatus, on the signal output by the equalizer. Because output of the information iteration apparatus is more accurate in determining the signal, precision of the phase recovery can be improved, cycle skipping is reduced, and input signal quality of the post filtering apparatus is improved.

Abstract: An embodiment method includes: performing balancing processing on a data stream that includes a plurality of sub-data stream segments, and performing segment de-interleaving on a data stream obtained after the balancing processing. The method further includes separately performing forward error correction (FEC) decoding on each sub-data stream segment in a data stream obtained after the segment de-interleaving. The method further includes performing, according to a balancing termination state of each sub-data stream segment obtained after previous balancing processing, balancing processing on each sub-data stream segment obtained after the FEC decoding, and performing FEC decoding on the data stream obtained after balancing processing is performed on each sub-data stream segment. When it is determined that a preset iteration termination condition is met, the method includes outputting the data stream obtained after the FEC decoding.

Abstract: The present application discloses a method for processing a signal. An apparatus detects, according to a check relationship set during a forward error correction coding, that a phase jump occurs in a data segment of a signal, and a quantity of degrees of the phase jump, performs, according to the quantity of degrees of the phase jump, a phase correction on the data segment; after the phase correction, performs a confidence correction on the data segment; and after the confidence correction, performs a forward error correction decision decoding on the data segment on which the confidence correction has been performed and output the data segment.

Abstract: A decoding apparatus and method. When all the code words in the to-be-decoded group meet that a checksum is 0, forward error correction (FEC) decoding is not performed, and only the sign bit decision is performed. That is, in a process of performing multiple times of decoding on each code word, FEC decoding is not always performed every time. This reduces power consumption required by FEC decoding.

Abstract: Embodiments of the present invention provide a decoding method and apparatus. The method includes: acquiring a demodulation signal; acquiring a first decoding signal, where the first decoding signal is a signal fed back after the ith M-ary differential decoding processing is performed on the demodulation signal, and i is an integer greater than or equal to 0; and performing M-ary differential decoding processing on the demodulation signal according to the first decoding signal, to obtain a second decoding signal. The first decoding signal that is fed back is added and input to a decoder.