Signal Analysis and Filter Design

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Related lectures (32)

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Signal Processing: Image Restoration and Linear Prediction

Explores image restoration and signal prediction using linear filters in signal processing.

Sampling and Reconstruction

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Fourier Transforms: Properties and Applications

Explores Fourier transforms, including properties, convolution, Parseval's theorem, and energy spectral density for non-periodic functions.

Discrete Fourier Transform: Frequency Periodicity and Reconstruction

Explores frequency periodicity in the discrete Fourier transform for signal reconstruction.

Signals & Systems Review

Provides a comprehensive review of signals and systems, covering topics such as time-domain analysis, frequency-domain analysis, and Fourier transform.

Discrete-Time Fourier Transform: Properties

Explores the properties of Discrete-Time Fourier Transform, including linearity, time and frequency shifts, time reversal, and convolution.

Spectrogram Analysis: Psychoacoustic Foundations & Signal Processing

Explores spectrogram analysis, including DFT, STFT, and CQT, for tasks like music transcription and onset detection.

Frequency Estimation: Deterministic Signals with Low Noise Level

Explores frequency estimation in deterministic signals using the DFT and spectral resolution.

Fourier Analysis: Fourier Series and Transform

Explores Fourier series, DFT, FFT, and their applications in signal processing and spectroscopy.

Discrete Fourier Transform: Sampling and Interpretation

Explores discrete Fourier transform, signal reconstruction, sampling interpretation, and periodic signal repetition.