Signals & Systems I: Micro-Systems and Communication Systems

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Related lectures (31)

Fourier Transform and Sampling

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

Signal Modulation and Sampling

Covers signal modulation, sampling, and their applications in communication systems.

Sampling and Reconstruction Theory

Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.

Principles of Digital Communication

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Signal processing and vector spaces

Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.

Discrete Fourier Transform: Sampling and Interpretation

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

Filtering and Sampling of Signals

Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.

Signals and Systems: Sampling Theorem and Applications Log in to Mediaspace to watch this video

Discusses the sampling theorem and its applications in signal processing.

Signals, Instruments, and Systems Log in to Mediaspace to watch this video

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Signals & Systems I: Introduction to Communication Systems Log in to Mediaspace to watch this video

Covers the basics of signals and systems in communication, including modulation, medical imaging, Fourier analysis, and biological systems.

Sampling: DT-time processing of CT signals Log in to Mediaspace to watch this video

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Signal Processing: Sampling and Reconstruction Log in to Mediaspace to watch this video

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

Signal Processing: Sampling and Reconstruction Log in to Mediaspace to watch this video

Covers the concepts of quantization, coding, and sampling in signal processing.

Fourier Transform: Concepts and Applications Log in to Mediaspace to watch this video

Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.

Sampling and Reconstruction Log in to Mediaspace to watch this video

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

Signals & Systems I: Sampling and Reconstruction Log in to Mediaspace to watch this video

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Signal Processing: Basics and Applications Log in to Mediaspace to watch this video

Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.

Signal Processing Fundamentals Log in to Mediaspace to watch this video

Covers the basics of signal processing and electric circuits.

Wireless Receivers: Time and Phase Offset Log in to Mediaspace to watch this video

Covers the impact and compensation of time and phase offset in wireless receivers.

Introduction to Sampling Log in to Mediaspace to watch this video

Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.

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