Signal Processing: Noise Filtering and Signal Estimation

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Explores signal-to-noise ratio, filtering noisy signals, and power spectral density for noise reduction in signal processing.

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Explores noise in electronics, covering average power, signal-to-noise ratio, deterministic and random signals, and noise amplification.

Introduces the fundamentals of noise in electronics, covering origins, signal types, power characteristics, and noise sources.

Explores different types of noise in electrical systems and their impact on electronic devices.

Explores coherent detection in optical systems, highlighting the interference between the signal and local oscillator.

Explores harmonic signals, spectrum estimation, and signal analysis methods using MATLAB tools.

Covers internal gain in optical detection systems, focusing on avalanche photodiodes and the calculations for optimal gain and signal-to-noise ratio.

Covers optical and electronic shot noise, focusing on signal-to-noise ratio calculations and the impact of quantum efficiency on detectivity.

Explores electrical metrology, emphasizing noise and signal analysis, covering topics such as charges, currents, voltages, and various noise sources.