Here is a good example of CSP at work. Imagine two BPSK signals with different symbol rates and slightly different center frequencies. Looking at the combined BPSK signals - created with mksig.py -d, ...

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Python is a popular general-purpose language, but it's increasingly favored for statistics, data analysis, and data science. If you have a basic knowledge of statistics, how can you apply that to ...

Research Group in Computational Neuroscience, Signal Processing and Artificial Intelligence - NEuro COmputational & Intelligent Signal Processing Research Group ...

End-to-end measurement data analysis with FAMOS and ASAMCommander based on ASAM ODS – no file export, no proprietary plugins, and with complete metadata imc Test & Measurement and HighQSoft® have ...

A new single-board platform integrates FPGA-based RF processing with AI acceleration for wireless applications.

Abstract: Efficient comprehension of the neural substrates of language processing that characterize the discipline of cognitive science is important. However, it should be acknowledged there are some ...

Abstract: The signal processing of the medium-Earth-orbit synthetic aperture radar (SAR) is more challenging than that of the current low-Earth-orbit SAR because the imaging geometry is more ...

We are currently looking for a student for a 6-month internship to develop and prototype a new machine learning and computer vision system that will be used to debug and categorize IC field failures .

The sensor payload (thermopile + VL53L8CX ToF) is carried by a rigid pan-tilt assembly driven by two NEMA 17 stepper motors ...