Signal Processing Fundamentals

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Related lectures (32)

Basic Concepts: Electric Circuits

Introduces the fundamental concepts of electric circuits, including basic elements and Kirchhoff's laws.

Fourier Transform

Covers the Fourier Transform, properties, periodic signals, and digital signals.

Discrete Fourier Transform: Introduction and Sampling

Covers the introduction of discrete Fourier transform and its implications on signal reconstruction.

Signals & Systems I: Micro-Systems and Communication Systems

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

Signals & Systems I: Sampling and Reconstruction

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

Fourier Transform: Basics and Examples

Explains the basics of Fourier transform and demonstrates its application through examples, including periodic functions and Fourier Transform Pairs.

Discrete Fourier Transform: Unlimited Duration Signals

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

S-Domain Circuit Analysis: Part 2

Delves into s-domain circuit analysis, covering theorems, analysis methods, and stability concepts.

Electric Circuits: Analysis and Applications

Covers the analysis of electric circuits using Kirchhoff's laws and Ohm's law to determine currents, voltages, and power.

Fourier Analysis: Fourier Series and Transform

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

Signal Processing: Basics and Spectral Analysis

Covers the basics of signal processing, linear estimation, and digital filters.

Fundamental Notions - I

Explores fundamental notions in image and video processing, covering applications and key concepts like color quantization and 2D Fourier Transform properties.

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