Maintains the full functionality and speed of structured NumPy datatype (eg., array[col1] + array[col2], or np.log(array[col1]) If you have smaller pandas dataframes (<50K number of records) in a ...

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms. CUDA ...

This work compares the performance of various beamforming algorithms for the mitigation of multiple access interference in adaptive array code-division multiple-access (CDMA) systems. The Fourier and ...