Filter (signal processing)

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Related lectures (32)

Page 2 of 4

Explores feedback, stability, and active filters, covering various amplifier structures, filter fundamentals, and stability analysis.

Neural Signals and Signal Processing

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

Linear Phase Filters: Theory and Design

Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.

Signal Processing: Basics and Applications

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

Analog Filters: General Synthesis and Transfer Functions

Explores analog filters, rational transfer functions, and stability analysis of causal systems.

Digital Filters: RII Filters - Part 2

Explores RII filters, analog-to-digital filter conversion, stability, and filter construction.

Neural Signals and Signal Processing

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

Digital Filtering Fundamentals

Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.

Signal Processing and Embedded Systems

Covers signal processing with digital filters and embedded systems, focusing on practical applications.

Signal Processing: Basics and Spectral Analysis

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