EDN

Self-correcting codes conquer noise, part one: Viterbi codecs

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...
EDN

Self-correcting codes conquer noise, part 2: Reed-Solomon codecs

test and verify the Reed-Solomon codec. Each of these steps is important, and missing one results in developing hardware that does not work the first time and must be re-created. For example, it is ...
IEEE

FSAT: A Faster Secure Convolutional Neural Network Inference Framework with Adversarial Training in Resource-Constrained Scenarios

Abstract: Existing CNN inference frameworks based on FHE often suffer from reduced efficiency and accuracy due to the polynomial approximation of activation functions, and they lack effective ...
IEEE

Derivation of Mutual Information and Linear Minimum Mean-Square Error for Viterbi Decoding of Convolutional Codes Using the Innovations Method

Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
PC World

I started ‘vibe coding’ my own apps with AI and I’m utterly loving it

On February 2nd, 2025, computer scientist and OpenAI co-founder Andrej Karpathy made a flippant tweet that launched a new phrase into the internet’s collective consciousness. He posted that he’d ...
GitHub

Joint Parallel Modeling with Direction-Wise Convolution and Deformable Transformer for 3D Medical Image Segmentation

This is the code for paper "Joint Parallel Modeling with Direction-Wise Convolution and Deformable Transformer for 3D Medical Image Segmentation". The model is implemented with PyTorch. This work is ...