Lectures related to The leaky integrator: Denoising and impulse response

Digital Filters: Structure and Implementation

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

RIF Filters: Characteristics and Synthesis

Explores the characteristics and synthesis of RIF filters, including windowing operations and linear phase filters.

Signal Processing and Embedded Systems

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

Impulse Response and Laplace Transform

Explores impulse response, Laplace transform, and their applications in dynamical systems.

Digital Filters: Implementation and Analysis

Explores digital filters' implementation, cyclic convolution, FFT-based filtering, and the importance of filtering in signal processing.

Neural Signals and Signal Processing

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

Frequency Response Analysis: Linear Systems and Filters

Covers the frequency response of linear systems and filter design principles.

Signal and System Analysis: Impulse Response and Convolution

Covers the analysis of LTI systems using impulse response and convolution.

LTI Systems Analysis

Covers the analysis of LTI communication systems through Fourier transforms and system stability.

Signals and Systems: Sampling Theorem and Applications

Discusses the sampling theorem and its applications in signal processing.

Fractional delay and Hilbert filter

Explores fractional delay, Hilbert filter, impulse response, and demodulation in signal processing.

Signals & Systems II: Roots, Equations, and Impulse Responses

Explores roots verification, stability, reproduction modeling, Z transform, and LTI systems realization.

Signals and Systems: Convolution and Fourier Transform

Covers convolution and Fourier transforms in linear time-invariant systems.

Optimal Least Square Adaptive Filter: FIR Filter

Explores the Optimal Least Square Adaptive Filter, focusing on the Finite Impulse Response (FIR) Filter and strategies to reduce computational burden.

Frequency Response and System Composition

Covers the properties of frequency response for discrete-time systems and system composition.

Spectral Estimation Methods

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Neural Signals and Signal Processing

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

Discrete Signals and Linear Systems

Explores discrete signals, linear systems, categorization examples, and convolution properties in signal processing.

Sampling and Reconstruction

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

Neural Signals and Signal Processing

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