本项目探索在Digilent Nexys4 DDR FPGA板上进行实时音频信号处理，从MEMS麦克风捕获音频，使用FFT进行处理，并通过以太网传输结果，以用于音频分析和处理中的潜在应用。
This project explores real-time audio signal processing on a Digilent Nexys4-DDR FPGA board, capturing audio from a MEMS microphone, processing it with FFT, and transmitting results via Ethernet for potential applications in audio analysis and processing. (2023-12-25, Jupyter Notebook, 0KB, 下载0次)
为娱乐而对声音信号进行分类，
Classifying acoustic signals for fun, (2020-12-28, Jupyter Notebook, 0KB, 下载0次)
这是论文的代码：物理感知神经网络的自监督学习I：银河系模型拟合
This is the code for the paper: Self-supervised Learning with Physics-aware Neural Networks I: Galaxy Model Fitting (2020-05-17, Jupyter Notebook, 656KB, 下载0次)
直觉物理网，，
intuitive_physics_net,, (2018-09-06, Jupyter Notebook, 8880KB, 下载0次)
分析管道能够通过天体测量透镜在现实中搜索银河系中的暗致密物体...
Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data. (2023-05-04, Jupyter Notebook, 52542KB, 下载0次)
Python的银河化学进化
Galactic chemical evolution in python (2022-04-11, Jupyter Notebook, 348KB, 下载0次)
模拟恒星S2在银河系中心黑洞轨道上的轨迹，并以真实的方式显示...
Simulate the trajectory of the star S2 in orbit around the black hole at the center of our galaxy and display in real time the value of the shift between the frequency of the received electromagnetic wave and the emitted wave (distinguishing between the Einstein effect, the Doppler effect of the first and second order). (2022-02-08, Jupyter Notebook, 1285KB, 下载0次)