Signal Processing: Filtering and Noise Reduction

Related lectures (32)

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Explores noise filtering, signal estimation, and signal-to-noise ratio optimization through Wiener-Khintchine theorem and power spectral density.

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

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

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

Explores noise reduction techniques in electrical systems, covering concepts like Fourier transform, impedance matching, and dithering.

Explores the impact of noise in microelectronics on various circuit stages and devices.

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

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

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

Provides an overview of ideal detectors, focusing on their theory, noise limitations, and performance metrics in optical detection systems.