peak-detection
There are 88 repositories under peak-detection topic.
vector_ECG_team_project
Командный проект по Векторной электрокардиографии
recetox-aplcms
This is a custom fork of apLCMS containing adaptations for large scale studies.
peaks-analysis
An algorithm to detect peaks/valleys in noisy signals
RTOS
Coursework of Real Time Operating Systems Course
peakfind2D
A peak-finding routine in Matlab for (electron) diffraction images
RLS-Based-Real-Time-Trend-Peak-Analyzer
Microcontroller-friendly C implementation of Recursive Least Squares (RLS) for running gradient analysis, including linear, cubic, and quadratic trends, optimized for real-time trend and peak detection
peaks
PEAKS is a peak detection library meant to locate peaks and valleys in a signal.
Peak-detection-chip-seq
Implementation of a Peak detection pipeline in Python using machine learning models and sliding window on the H3K9me3_TDH_BP ChIP-seq dataset.
rule_based_mosquito_detection
Contains the code for the two rule based mosquito detection algorithms of the paper "Counting Mosquitoes in the Wild: An Internet of Things Approach"
Hearthbeat_detection
R-peaks detection on ECG using the So&Chan method.
cxls_hitfinder
Development for peak detection at CXLS/CXFEL. Mainly focusing on deep learning CNN networks.
Audio-Compressor-Using-Peak-and-RMS-Detection-Written-in-MATLAB
Audio Compressor Using Peak and RMS Detection Written in MATLAB
hierarchical_peak_finding
Data analysis of peak and valley regions
Spindle-Detection
Implementation of 'Continuous Wavelet Transformation' with a morlet basis for spindle detection.
Rising_Sun_Envelope_Method
Companion website with an overview of the methods developed in the paper "The Rising Sun Envelope Method: an automatic and accurate peak location technique for XANES measurements".
Tamil-STT-using-Spectrogram-Analysis
Winning Prototype solution of transcription of Tamil speech to phonetic sounds in the Tamil language.
prep4phys
A toolbox for physiological peak detection analyses. Formerly peakdet.
Time-Domain-Audio-Processing-in-Matlab
MATLAB® scripts for analyzing audio recordings in the time domain, with lowpass filters, identifications of peaks, and removal of silent regions
peak_height
As part of a fellow student's master's work, the height of peak series had to be measured. I ensured to facilitate the task with this script that automatically indicates these distances without the need to manually manipulate the data beforehand.
TiVaCPD
TiVaCPD Package: Time-Varying Correlation Networks for Interpretable Change Point Detection (TiVaCPD)
peak_detection
Goal is to detect peak in given signal(s) in directory \dataset with computation intelligence and not just signal processing. Here, we have used 1D CNN from Keras to achieve it.
FDD_PP
Frequency Domain Decomposition, including Peak Picking technique
find-peaks
Python library for identifying the peaks using CNN and wavelet transform.
DynamicGestureRecognition
The project take video that contains one hand moving gesture and by using Image Processing(Python opencv) and an alogirthm calculates code bit i.e. state of each finger if it is open(1) closed(0) or half open(0.5) calculates the direction of movement of the object of interest i.e. hand and maps it a corresponding word that is defined in a small static dictionary in the program. Sample video is placed in Sentences folder.
PeakFinder2D
Peak finder greedy and divide and conquer algorithms for 2D array, written in java.
z-scroe-peak-detection
Python transcription of the algorithm pseudocode given in stackoverflow z-scores algorithm
scorepeak
an R package for peak detection in univariate time series data
peaks-recognition
Noisy signal automatic peak detection and description
Pulse-lead-Peak-Detection
This project uses Recurrence Plot(RP) to detect peaks caused by pulse from ppg signals. The main idea is labeling peaks for clean ppg signal first, then adding noise into ppg signal as trainning material. The model seleted for this task is a basic CNN model. See attached slides for more detais.
Peak-Detection-and-Separation-in-Mass-Spectrometry-Data
This project focuses on improving the analysis and separation of overlapping spectral peaks in mass spectrometry data. Accurate detection and separation of these peaks are crucial for identifying substances in complex mixtures, which has applications in various fields such as biochemistry, pharmacology, and environmental science.
fpfind
Add-on implementation of frequency compensation for qcrypto.
Cell_Detection
Python code for merging and refinement of detected neurons in large 3D stacks
peak-detection
Implementation and application of peak detection methods in time series
Figure_Classifier
Geometric Figure Class Classifier