Lectures related to Filter (signal processing)

Neural Signals and Signal Processing

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Filters Fundamentals: Chebyshev Polynomials and Filter Design

Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.

Digital Filters: RII Filters - Part 2

Covers digital RII filters, elliptical and Chebyshev filters, frequency transformations, and filter realization.

Neural Signals and Signal Processing

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Active Filters: Second-order and High-order Realizations

Covers the design and implementation of active filters, focusing on second-order and high-order realizations.

Continuous-Time Filters: MOSFET-C Filters

Covers different types of continuous-time filters, focusing on MOSFET-C filters and linearization techniques.

Digital Filters: Structure and Implementation

Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.

Linear Phase Filters: Step Response and Characteristics

Explores linear phase filters, rise time, Gaussian filters, and rational transfer functions.

Time Series: Spectral Analysis and Linear Filtering

Explores spectral analysis, aliasing, and linear filtering in time series data.

Digital Filtering: Butterworth Filter Design

Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.

Feedback and Stability: Active Filters

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.