Parity computing section 632 calculates parity corresponding to the information sequence and known information sequence using an LDPC convolutional code, LDPC-CC, and outputs the parity obtained to modulation section 640. Modulation section 640 applies modulation processing to the information sequence and ...
The trellis complexity of convolutional codes Convolutional codes have a natural, regular, trellis structure that facilitates the implementation of Viterbi's algorithm. Linear block codes also have a n... RJ Mceliece,L Wei - 《IEEE Transactions on Information Theory》 被引量: 219发表: 1996年 A...
III.D.1 Codes As mentioned in Section III.B.2, the first stage of communication is performed via an encoding function ϕ that converts the desired message into a string of channel symbols. Assuming for now that ϕ is 1–1, it is easy to see that the error probability is determined...
The convolutional encoders are investigated in respect of the parameter bit error rate. The decoding of convolutional codes is based on Viterbi algorithm[3]. The software tool is developed in MATLAB and Communication Toolbox. In mathematics, computer science, telecommunication, and information theory,...
In this paper we obtain the [60,30,12], [64,32,12], [68,34,12], [72,36,12] self-dual codes as tailbitting convolutional codes with the smallest constraint length K=9. In this construction one information bit is modulo two added to the one of the encoder outputs and the first ro...
17. A turbo encoding method comprising the steps of: (a) outputting a sequence of input data; (b) performing a convolutional encoding of the input data sequence to output a sequence of the encoded output data; (c) interleaving the input data sequence in accordance with the interleaving method...
convolutionalneural networks, language-based models such as transformers, as well as unsupervised models such asAutoencodersorgenerative adversarial networks. Similarly, there are different features used for training and subsequently for detection, such as sequences and counts of events or tokens as ...
Additionally, our deep learning model integrates advanced neural network modules, including Multi-Dconv Head Transposed Attention, Gated-Dconv Feed-forward Network, Convolutional Neural Network, and Bidirectional Gated Recurrent Unit, to comprehensively exploit sequence features of lncRNA. Conclusions ...
Human affects such as emotions, moods, feelings are increasingly being considered as key parameter to enhance the interaction of human with diverse machines and systems. However, their intrinsically abstract and ambiguous nature make it challenging to ac
Various types of FEC code may be used for encoding. Some common types of FEC code include convolutional code, Turbo code, and low density parity check (LDPC) code. A convolutional code or a Turbo code can encode a packet of k information bits and generate a coded packet of approximately ...