Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".

This project utilizes three deep learning models, DNN, CNN, and LSTM, for the classification and recognition of 11 modulation types, including BPSK, QPSK, 8PSK, 16QAM, 64QAM, PAM4, GFSK, CPFSK, B-F…

This is a Python implementation of Low-Density Parity-Check (LDPC) codes for error correction in communication channels. It generates parity-check matrices, encodes messages, simulates channel nois…

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

🎓电子科技大学 📔课程资料

Bayesian Compressive Sensing and Multi-task Compressive Sensing

自己搜集和改写的压缩感知相关程序代码

Group Sparse Representation for Kronecker Compressive Sensing, Image Process. Image Under. (IPIU) 2016

Kronecker technique for improving quality of the signal in compressive sensing recovery

MOPSO及pso可编译运行matlab源码，及相关论文资源