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Adaptive Equalization
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Related lectures (31)
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The success factors for digital communications
Explores the success factors behind the improvement in data transmission over the last 50 years.
Introduction to Signals and Filters
Covers the conversion of analog signals to digital, data compression, and signal reconstruction, highlighting the significance of signal processing in communication systems.
Principles of Digital Communication
Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.
Convolutional Codes: Decoding and Eye Diagrams
Covers the decoding process of convolutional codes and the analysis of eye diagrams.
Passband Communications Design
Covers the design of passband communications and the use of recipies and complex-valued signals.
Signal Processing and Embedded Systems
Covers signal processing with digital filters and embedded systems, focusing on practical applications.
Convolutional Neural Networks
Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.
Digital Filters: Structure and Implementation
Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.
Signals & Systems I: Introduction to Communication Systems
Covers the basics of signals and systems in communication, including modulation, medical imaging, Fourier analysis, and biological systems.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
