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Based on Hamming code and inverse method, the proposed method creates the sparse code with MHD of 3. These codewords used for encoder and decoder in MRAM systems.
Ironically, product codes had been discussed nearly 40 years earlier . In the general sense, turbo-product, or block-turbo, codes are composed of a multidimensional array of block codes, such as ...
The communications channel introduces noise such as AWGN (additive white Gaussian noise) to the transmitted signal. The receiver demodulates the corrupted information, which a decoder then processes, ...
When people think of DNA, they usually think of genes, the parts that code for proteins and drive inherited traits. But there ...
This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...
This work proposes a novel embedding encoder-decoder (EED), and a convolutional neural network (CNN) is used as decoder. The CNN structure is good at detecting local patterns, which can be exploited ...
We’re looking forward to the rest of the series, which will turn this into an actual decoder, and presumably add an encoder as well.
Contribute to jzhlena/ttihp-hamming-code development by creating an account on GitHub.
DM-FNet: Unified multimodal medical image fusion via diffusion process-trained encoder-decoder. This paper has been accepted by IEEE Transactions on Multimedia (TMM) in March 2025.