Covers the conversion of analog signals to digital, data compression, and signal reconstruction, highlighting the significance of signal processing in communication systems.
Explores adaptive equalization in digital communication systems to compensate for channel distortion and track time-varying conditions.
Covers the process of signal sampling, error correction, compression, and encryption algorithms in modern communication.
Provides an overview of engineering projects, troubleshooting tips, and practical demonstrations on signal processing and Arduino integration.
Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.
