Abstract: Provided are a time domain channel prediction method and a time domain channel prediction system for an OFDM wireless communication system, which relate to the technical field of adaptive transmission in wireless communication. Frequency domain channel information is converted into time domain tap information by inverse Fourier transform. With respect to each time domain tap information, tap information prediction based on an extreme learning machine is realized, and finally predicted tap information is converted into frequency domain channel information by Fourier transform. To improve a generalization ability of a channel predictor, an output weight of the extreme learning machine is punished by a combination of l2 regularization and l1/2 regularization. The disclosure may provide satisfactory prediction performance and may output a sparse output weight, which reduces the requirement for memory storage. The disclosure ensures adaptive transmission and adaptive coding of wireless communication.

Abstract: A vector-valued regularized kernel function approximation (VVRKFA) based fault diagnosis method for an analog circuit comprises the following steps: (1) obtaining fault response voltage signals of an analog circuit; (2) performing wavelet packet transform on the collected signals, and calculating wavelet packet coefficient energy values as feature parameters; (3) optimizing regularization parameters and kernel parameters of VVRKFA by using a quantum particle swarm optimization algorithm and training a fault diagnosis model; and (4) identifying a circuit fault by using the trained diagnosis model. In the invention, the classification performance of the VVRKFA method is superior to other classification algorithms, and optimization of parameters by the quantum particle swarm optimization (QPSO) algorithm is also superior to the traditional method of obtaining parameters.

Abstract: The disclosure discloses a channel prediction method and system for a MIMO wireless communication system. The method includes the following steps: obtaining frequency domain channel information of each antenna pair of the MIMO wireless communication system through channel estimation; processing, by inverse Fourier transform, frequency domain channel information of each antenna pair to obtain information of each effective delay path of the MIMO wireless communication system; training the width learning system; utilizing the trained width learning system to predict each effective delay path of each antenna pair, so as to obtain the information of the next moment of each effective delay path of each antenna pair; after summarizing the information of the next moment of each effective delay path of each antenna pair obtained through prediction, the Fourier transform is utilized to convert the information into predicted frequency domain channel information.

Abstract: A channel prediction system and a channel prediction method for an OFDM wireless communication system include a standard echo state network and a two-layer adaptive elastic network. In the method, with respect to each subcarrier of a pilot OFDM symbol, an echo state network is trained by using frequency domain channel information of each subcarrier obtained by channel estimation. The trained echo state network may realize short-term prediction of the frequency domain channel information. To overcome a likely ill-conditioned solution of an output weight in an echo state network, the output weight in the echo state network is estimated by using a two-layer adaptive elastic network.

Abstract: This application discloses an information processing method and apparatus, a communications device, and a communications system. The method includes: encoding an input sequence by using a low density parity check LDPC matrix to obtain a bit sequence D, where a base matrix of the LDPC matrix is represented by a matrix of m rows and n columns, each column corresponds to a group of Z continuous bits in the bit sequence D, and both n and Z are integers greater than 0; and obtaining an output bit sequence based on a bit sequence V, where the bit sequence V is obtained by permuting groups of bits corresponding to at least two parity check columns in the bit sequence D.

Abstract: The disclosure discloses an analog circuit fault feature extraction method and system based on an optimal wavelet basis function, and belongs to the field of electronic circuit engineering and computer vision, and the method comprises the steps of obtaining output signals of an analog circuit during different faults; sequentially applying wavelet transformation methods based on different wavelet basis functions to extract features of output signals; for each feature, calculating the center position of each fault, the distance from each fault data point to the center position, the farthest position of the fault data point and the average position of the fault data points; and determining an optimal wavelet basis function for analog circuit fault feature extraction according to a score discriminating method.

Abstract: The invention provides to a method and a system for fault diagnosis of a gearbox of a wind turbine generator based on stacked denoising autoencoders and relates to fault diagnosis. Signals obtained by pre-processing original vibration signals collected when the gearbox of the wind turbine generator is in different working states are used as training data. The training data are input into stacked denoising autoencoders. Meanwhile, a quantum-behaved particle swarm optimization algorithm is introduced to optimize the structure and parameters. Then, pre-processed test signals are input into the stacked denoising autoencoders that are trained to extract high-dimensionality fault features contained in the original vibration signals. Then, the extracted fault features are input into a least squares support vector machine to complete the fault diagnosis of the gearbox.

Abstract: This application discloses an encoding method, an apparatus, a communications device, and a communications system. The method includes: encoding an input bit sequence by using a low density parity check LDPC matrix, where the LDPC matrix is obtained based on a lifting factor Z and a base matrix, and the base matrix includes a row 0 to a row 4 and a column 0 to a column 26 in one of matrices shown in FIG. 3b-1A to FIG. 3b-8B, or the base matrix includes a row 0 to a row 4 and some of a column 0 to a column 26 in one of matrices shown in FIG. 3b-1A to FIG. 3b-8B. According to the encoding method, the apparatus, the communications device, and the communications system, channel coding requirements can be met.

Abstract: A polar code encoding method and apparatus are provided. The method includes: obtaining a basic sequence, where the basic sequence is a sequence obtained by sorting sequence numbers of polarized channels in descending order or ascending order of reliability, and a length of the basic sequence is L1; determining, based on a maximum encoding length L2 supported by a receiving device, a quantity M of segments of an information bit sequence whose length is N after encoding, where a quantity of bits in the information bit sequence before the encoding is K; and performing polar code encoding on the M segments based on the basic sequence. According to the polar code encoding method, during polar code construction, an encoding device needs to know only a reliability order of min(N/M, L1) polarized channels. In this way, storage overheads of a nested sequence can be effectively reduced, and online computing complexity can be reduced.

Abstract: This application provides a wireless communication method and device. The method includes: scrambling, with each piece of configuration information of a plurality of pieces of configuration information for configuring a terminal device, bits that are included in a cyclic redundancy check (CRC) of downlink control information (DCI) and that correspond to each piece of configuration information, to obtain a scrambled sequence, where at least one bit of bits that correspond to each piece of configuration information does not correspond to another piece of configuration information of the plurality of pieces of configuration information; and sending the DCI and the scrambled sequence to the terminal device.

Abstract: A transformer failure diagnosis method and system based on an integrated deep belief network are provided. The disclosure relates to the fields of electronic circuit engineering and computer vision. The method includes the following: obtaining a plurality of vibration signals of transformers of various types exhibiting different failure types, retrieving a feature of each of the vibration signals, and establishing training data through the retrieved features; training a plurality of deep belief networks exhibiting different learning rates through the training data and obtaining a failure diagnosis correct rate of each of the deep belief networks; and keeping target deep belief networks corresponding to the failure diagnosis correct rates that satisfy requirements, building an integrated deep belief network through each of the target deep belief networks, and performing a failure diagnosis on the transformers through the integrated deep belief network.

Abstract: This application discloses a transmission method, a transmission apparatus, and a communications device. The transmission method includes: performing polar encoding on a bit sequence, to obtain an encoded sequence, where the bit sequence includes control information and a cyclic redundancy check CRC sequence; fragmenting the encoded sequence, to obtain n encoded subsequences, where n is an integer, and n>0; and scrambling the n encoded subsequences by using n scrambling sequences respectively, to obtain n scrambled sequences. In the transmission method, the n scrambling sequences are newly defined based on encoding and decoding features of a polar code, and the n scrambling sequences additionally carry ?log2n?-bit information. According to the foregoing encoding method, signaling overheads are reduced.

Abstract: A channel prediction system and a channel prediction method for an OFDM wireless communication system include a standard echo state network and a two-layer adaptive elastic network. In the method, with respect to each subcarrier of a pilot OFDM symbol, an echo state network is trained by using frequency domain channel information of each subcarrier obtained by channel estimation. The trained echo state network may realize short-term prediction of the frequency domain channel information. To overcome a likely ill-conditioned solution of an output weight in an echo state network, the output weight in the echo state network is estimated by using a two-layer adaptive elastic network.

Abstract: This application provides a coding method and apparatus, and a device. The method includes: dividing, by a sending device, a subchannel location sequence number set into at least two mutually exclusive subsets based on an interleaving operation, where a subchannel location in each subset still belongs to the subset and does not belong to another subset after any quantity of interleaving operations are performed; determining, by the sending device, an information bit location set and a frozen bit location set of a to-be-coded polar polar code based on the at least two mutually exclusive subsets; and coding, by the sending device, the to-be-coded polar code based on the information bit location set and the frozen bit location set. The coding method and apparatus, and the device provided in this application can improve communication performance of polar coding.

Abstract: An encoding method, an encoding apparatus, a decoding method, and a decoding apparatus are provided. The encoding method includes: determining a size of a shift matrix based on a length of an information sequence and a length of an identifier sequence; constructing a check matrix based on the size of the shift matrix and a base matrix; and performing low-density parity-check LDPC encoding on the information sequence and the identifier sequence based on the check matrix. The identifier sequence is a non-all-zero sequence. Because the encoded codeword includes information of the identifier sequence, a receive device can identify whether information corresponding to the encoded codeword is addressed to the receive device, thereby improving information processing efficiency in the transmission.

Abstract: Embodiments of this application disclose provides a low density parity check (LDPC) channel encoding method for use in a wireless communications system. A communication device encodes an input bit sequence by using a LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. Embodiments of the application provide eight particular designs of the base matrix. The encoding method provided in the embodiments of the application can be used in various communications systems including the fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: Embodiments of this application provide a method and an apparatus for constructing a sequence of polar codes. In an implementation, a construction sequence P? is read from a construction sequence P, where the length of the construction sequence P? is an encoding length M and the length of the construction sequence P is N. The construction sequence P? is demapped to a reliability ranking sequence Q? based on a rate matching rule, and K elements that have largest reliability values is read from the reliability ranking sequence Q?, to obtain an information bit sequence number set A.

Abstract: A low density parity check (LDPC) channel encoding method is used in a wireless communications system. A communication device encodes an input bit sequence by using an LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. The base matrix may be one of eight exemplary designs. The encoding method can be used in various communications systems including fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: A rate matching method for a polar code is provided, to improve performance. The method includes: encoding, based on an N*N encoding matrix of a polar code, a sequence including N first bits, to generate a mother code including N second bits, where the N first bits are in a one-to-one correspondence with N rows in the encoding matrix in sequence, and the N second bits are in a one-to-one correspondence with N columns in the encoding matrix in sequence; determining N?M to-be-punctured second bits from the N second bits, where at least one first bit in N?M first bits participating in encoding of the N?M second bits belongs to the first M first bits in the N first bits, and the N?M first bits are fixed bits; and puncturing the N?M second bits, to obtain a target polar code including M second bits.

Abstract: A Deep Belief Network (DBN) feature extraction-based analogue circuit fault diagnosis method comprises the following steps: a time-domain response signal of a tested analogue circuit is acquired, where the acquired time-domain response signal is an output voltage signal of the tested analogue circuit; DBN-based feature extraction is performed on the acquired voltage signal, wherein learning rates of restricted Boltzmann machines in a DBN are optimized and acquired by virtue of a quantum-behaved particle swarm optimization (QPSO); a support vector machine (SVM)-based fault diagnosis model is constructed, wherein a penalty factor and a width factor of an SVM are optimized and acquired by virtue of the QPSO; and feature data of test data are input into the SVM-based fault diagnosis model, and a fault diagnosis result is output, where the feature data of the test data is generated by performing the DBN-based feature extraction on the test data.