I will extract hidden information from time series spectral data

China

I speak English

Data Processing

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 entr...
About this Gig

I provide professional time-series and spectral signal analysis for academic and industrial research.

Supported data types: Gravitational wave strain data Vibration / bearing sensor signals Hydrological & climate time series EEG and physiological signals Other continuous sensor time-series data

I use a custom anchor-score nonlinear framework to detect hidden features, state transitions and anomalous patterns inside signals. Deliverables include statistical metrics, annotated spectral plots and readable analysis reports.

Important notice: No source code or raw scripts will be delivered. Only analysis results, charts and written interpretation.

Before placing your order, please send a short sample of your data to check compatibility.

Technology:

Jupyter Notebook

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Pandas

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RStudio

Analysis type:

Quantitative analysis

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Statistical analysis

Expertise:

Algorithms

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Probability

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Anomaly detection

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Math

Programming language:

Python

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