Concept

Signal

Related lectures (31)

Signal Processing: Basic Definitions and Properties

Explores basic signal definitions, properties, and digital signal processing techniques.

Explores the sampling theorem, illustrating signal reconstruction and the importance of meeting the Nyquist criterion.

Direct Sequence Spread Spectrum Modulation (DSSS)

Covers Direct Sequence Spread Spectrum Modulation (DSSS) to improve signal quality through wider bandwidth distribution and interference reduction.

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Signal Sampling and Reconstruction: Fundamentals

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

Signals and Systems: Sampling Theorem and Applications

Discusses the sampling theorem and its applications in signal processing.

Discrete Fourier Transform: Frequency Periodicity and Reconstruction

Explores frequency periodicity in the discrete Fourier transform for signal reconstruction.

Sampling: DT-time processing of CT signals

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

Signals and Systems: Mathematical Description and Identification Strategies

Explores signals and systems, mathematical description, stability, types of systems, input signals, vector and signal analogy, matrix and linear system analogy, and canonical basis.

Signal Processing Fundamentals

Covers the alternate formulation of signal processing and the sufficiency of the Waliland ratio in signal sets.

Signals & Systems I: Introduction to Communication Systems

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