Sampling and Spectrum of Signals

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Transition to/from Continuous Time Signals and Passband Modulation

Explores the transition between continuous time signals and passband modulation techniques.

What is digital signal processing

Covers the concept of time, discrete time practicality, sampling theorem, digital storage, transmission of signals, and key ideas of digital signal processing.

Sampling and Reconstruction

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

The Sampling Theorem

Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.

Upsampling: Basics

Explores the basics of upsampling in signal processing, including continuous time, digital domain, and frequency domain techniques.

Signal Sampling and Reconstruction

Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Signal Sampling and Reconstruction: Fundamentals

Covers the fundamentals of signal sampling and reconstruction, including the sampling theorem and practical reconstruction systems.

LTI Systems: Analysis and Properties

Covers the analysis and properties of Linear Time-Invariant (LTI) systems.

Signal Sampling: Sampling

Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.