Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...
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, ...
When traditional EEG signals are collected based on the Nyquist theorem, long-time recordings of EEG signals will produce a large amount of data. At the same time, limited bandwidth, end-to-end delay, ...
Real-time signal processing via chemical reactions for a microfluidic molecular communication system
Signal processing over the molecular domain is critical for analysing, modifying, and synthesising chemical signals in molecular communication systems. However, the lack of chemical signal processing ...
A research team led by Professor Wang Cheng from the Department of Electrical Engineering (EE) at City University of Hong Kong (CityUHK) has developed a world-leading microwave photonic chip that is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results