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adaptive-filter-and-active-noise-cancellation

Adaptive Filter and Active Noise Cancellation —— LMS、NLMS、RLS

adaptive-local-noise-reduction-filter

Adaptive local noise reduction filter

adaptive-noise-cancellation

Designed and evaluated the performance of an adaptive FIR filter using the Normalized Least Mean Square Algorithm that can clean a speech signal corrupted by vacuum cleaner noise

adaptivefilterlmsmatlab

This repo contains files for implementing and testing Adaptive Filters, specifically, LMS for Noise Cancelling in Matlab

algo-nilm

Algorithmic Non-Intrusive Load Monitoring (household energy decomposed)

antgen

AMBAL-based NILM Trace generator

approximate_filtering

Approximate Computing for an Extended Kalman Filtering Tracker

awesome-nilm

A curated resources of awesome NILM resources

bilateral-filter

A filter that smooths images while preserving edges.

bioelectromagnetism

Matlab and other tools for EEG/MEG/MRI/fMRI

blackscholes_approximate

Approximate computing benchmark for approximate communication technique

brain-computer-interface-with-neurosky

Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.

brain-computer-interface-with-neurosky-1

Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.

brainstorm3

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

buildsys2019-paper-notebooks

chainer-graph-cnn

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

classification-and-analysis-of-electraencephalography-eeg-signals

Classification and Analysis of EEG Signals using Machine Learning Algorithms

classification-seizure-dataset

Final Project ECE 6254: Statistical Signal Processing at Georgia Institute of Technology

cnn_graph.pytorch

A PyTorch implementation of paper "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

co-occurrence-filter

Co-occurrence Filter (CoF) is a boundary preserving filter.It is based on the Bilateral Filter (BF) but instead of using a Gaussian on the range values to preserve edges it relies on a co-occurrence matrix.

color_hmax_gabor

Port of Matlab code for gabor filters to Python

comparability

Supplemental material on comparability and performance evaluation in NILM

complexnetworksbook.github.io

Resources for the book "Complex Networks: A Networking and Signal Processing Perspective"

convolutional-neural-networks-on-graphs-with-fast-localized-spectral-filtering

dcfnet_pytorch

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

deep-learning-for-anomaly-detection-a-survey

This paper is continuously updated with deep anomaly detection methods and their applications

diffusion-non-local-means

Implement a set of edge preserving filters for the purpose of denoising

digital-filters--noise-neutralization

wiener hopf -steepest descent user for coefficients' calculations

digital_filter_spectral_analysis

Interpretation, design and application of DSP techniques. Digital filters and Fourier transform based spectrum analysis. Spectral descriptions of continuous-time and discrete-time waveforms related, and the FFT algorithm is used as a spectral analysis tool. The behaviour of digital filters is analysed through the use of difference equations and transfer functions via the z-transform. Methods for designing IIR and FIR filters, and various issues associated with their practical implementation.

discriminative-kalman-filter

companion code for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"