Signals & Systems I: Introduction and Signal Processing

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Related lectures (55)

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.

Sampling and Reconstruction Log in to Mediaspace to watch this video

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

Graphical Convolution Log in to Mediaspace to watch this video

Covers the graphical convolution method for discrete-time signals and explains the continuous-time convolution with examples.

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, and applications in signal processing and differential equations, demonstrating its importance in mathematical analysis.

Data Compression: Sparse Signals and Data Recording Log in to Mediaspace to watch this video

Explores data compression through signal sparsity, questioning the need for recording vast amounts of data.

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

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

Signals & Systems I: Rectangular & Triangular Signals Log in to Mediaspace to watch this video

Explores periodic and non-periodic rectangular and triangular signals, along with 'b-spline' functions and their properties.

Fourier Filters: Techniques for Image Processing Log in to Mediaspace to watch this video

Covers Fourier filtering techniques using the 4F system for image processing and enhancement.

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.

Fourier Transform and Convolution Product in Signal Processing Log in to Mediaspace to watch this video

Explores the Fourier transform, convolution product, and their applications in signal processing.

Fourier Transform: Inversion Formula Log in to Mediaspace to watch this video

Explores the Fourier Transform inversion formula and its applications in signal processing.

Discrete-Time Fourier Transform: Properties Log in to Mediaspace to watch this video

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

Signal Processing: Correlation and Spectral Density Log in to Mediaspace to watch this video

Delves into correlation and spectral density of signals, explaining their significance and applications.

Fourier Series and Transforms: Introduction and Properties Log in to Mediaspace to watch this video

Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.

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.

Introduction to the Laplace Transform Log in to Mediaspace to watch this video

Covers the Laplace Transform, LTI systems, Fourier Transforms, and properties.

Fourier Transform Pairs and System Analysis Log in to Mediaspace to watch this video

Covers Fourier transform pairs, system analysis with difference equations, and frequency response.

Signal Processing: Image Restoration and Linear Prediction Log in to Mediaspace to watch this video

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

Interfacing & Packaging of Biochips Log in to Mediaspace to watch this video

Explores miniaturized laboratories for analyzing biochemical information of gases or fluids using biochips.

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