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 ...
GitHub

PersPose: 3D Human Pose Estimation with Perspective Encoding and Perspective Rotation

This is the offical Pytorch implementation of PersPose, which estimates the 3D positions of joints from individual images. Below is the overall framework. We design Perspective Encoding (PE) to encode ...
IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of this process; ...
GitHub

Few-Shot EEG Visual Decoding via Wavelet-Based Prototypical Networks

Key insight: model trained on simple data generalizes to complex data without fine-tuning. Support set: S = {(x_1, y_1), ..., (x_n, y_n)} where n = N * K Query set: Q ...
Scientific Research Publishing

Liang, J., Chen, J. H., Zhang, X. Q. et al. (2019). Anomaly Detection Based on One-Hot Encoding and Convolutional Neural Network. Journal of Tsinghua University (Science and ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.