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Lecture
Signals & Systems I: Rectangular & Triangular Signals
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Related lectures (31)
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Signal Processing: Sampling and Reconstruction
Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.
Fourier Transform: Inversion Formula
Explores the Fourier Transform inversion formula and its applications in signal processing.
Fourier Transform: Motivating Formula
Covers the motivation behind the Fourier transform formula, explaining the process step by step.
Convolution: Effect of Main Lobe
Explains the effect of convolving any spectrum by the Fourier transform of a rectangular window.
Discrete Signals & Fourier Transform
Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.
Sampling and Reconstruction
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Sampling: DT-time processing of CT signals
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Signals, Instruments, and Systems: System Properties and Transforms
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