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

🎓电子科技大学 📔课程资料

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

MOPSO及pso可编译运行matlab源码，及相关论文资源

自己搜集和改写的压缩感知相关程序代码

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

Bayesian Compressive Sensing and Multi-task Compressive Sensing

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…

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

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…