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Lecture
Digital Signal Processing: Theory
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Related lectures (32)
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Implementation of Sampling and Quantization
Covers the generation of signals with noise, sampling, and conversion to digital.
Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Monte Carlo Techniques: Sampling and Simulation
Explores Monte Carlo techniques for sampling and simulation, covering integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance.
Analog-Digital & Digital-Analog Converters
Covers Analog-Digital and Digital-Analog conversion, including sampling, quantization, Flash converter, weighted current generation, and R2R network.
Signal Sampling: Bandwidth and Spectrum
Introduces signals, frequencies, bandwidth, filtering, and sampling in signal processing.
Natural Language Generation: Decoding & Training
Explores challenges in natural language generation, decoding algorithms, training issues, and reward functions.
Analog Regulator Sampling Methods
Covers sampling methods for analog regulators and anti-runaway measures.
Signal Processing: Sampling and Reconstruction
Covers the concepts of quantization, coding, and sampling in signal processing.
Wireless Receivers: Parameter Estimation
Covers parameter estimation in wireless receivers and phase ambiguity in signal modeling.
Numerical Control of Dynamic Systems
Covers topics like digital filtering, stability, and discrete systems, including experiments and manipulations.
