q
qiaoou

QiaoOu

@qiaoou

Data Processing

China
About me
My work focuses on a specific structural feature: whether a signal contains two distinct frequency peaks separated by a valley. Standard methods — power spectrum, coefficient of variation, sample entropy, and coherence — do NOT detect this. I built anchor_score to fill that gap. Published preprints (10 on ORCID):(DOI: 10.5281/zenodo.22850972) Validated on: - Synthetic signals of known structure - LIGO O1/O4c1 gravitational-wave detector noise - 24-subject meditation EEG dataset (OpenNeuro ds001787) does your signal contain hidden structure that conventional methods miss?... Read more

Skills

q
qiaoou
QiaoOu
Offline • 
Average response time: 1 hour

See my services

Data Analytics Consultation
I will extract hidden information from time series spectral data
From$50 / projectMore details

Portfolio

Work experience

Independentcreatives

Independent Researcher

Independentcreatives • Freelance

Aug 2025 - Sep 2026 • 1 yr 1 mo

Developing model-free methods for spectral structure detection in single-channel time series. - Created anchor_score, a metric for detecting bimodal spectral structure - Validated on synthetic signals, LIGO O1/O4c1 data, and 24-subject meditation EEG dataset (OpenNeuro ds001787) - Published three preprints on Zenodo - Providing analysis services through Zinn Hub