Carolina's repositories
KalmanBOT_ICASSP23
DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS
Matlab-code-LCOMM-2017
Matlab code of the paper: N. T. Do, D. B. da Costa, T. Q. Duong, and B. An, “A BNBF User Selection Scheme for NOMA-Based Cooperative Relaying Systems With SWIPT,” IEEE Communications Letters, vol. 21, no. 3, pp. 664–667, Mar. 2017.
BER-of-Nakagami-fading-channel
Performance of Bit Error Probabilities of M-QAM, M-PAK, I-PAM for a channel subjected to impulsive noise and Nakagami fading
BER-of-Shadow-Rician-fading
Performance of Bit Error Probabilities of M-QAM, M-PSK, I-PAM of a channel subjected to impulsive noise and Shadow Rician fading
Carolandxc.github.io
personal page
CPlusPlusThings
C++那些事
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
CsiNet
Python code for "Deep Learning for Massive MIMO CSI Feedback"
EffectiveModernCppChinese
《Effective Modern C++》- 完成翻译
ERRCOV_ICASSP22
Confidence Estimates with KalmanNet
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
KalmanNet_TSP
code for KalmanNet
Matlab
MY .M CODE
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
reproduced-papers
MATLAB Codes for Reproduced Papers
RTSNet_ICASSP22
Extend KalmanNet to smoothing
RTSNet_TSP
code for RTSNet
Secrecy-performance-of-a-generalized-partial-relay-selection-protocol-in-underlay-cognitive-networks
This is a Matlab code for the article: “Secrecy Performance of a Generalized Partial Relay Selection Protocol in Underlay Cognitive Networks”, International Journal of Communication Systems, vol. 31, no. 17, pp. 1-17, Nov. 2018.
Unsupervised_EUSIPCO_22
Unsupervised Kalman Gain Estimation