---
title: "I Will Detect Hidden Signal Structures and Sudden Transitions in Your Time Series Data"
url: https://zinnhub.com/zinns/i-will-diagnose-your-time-series-data-with-automated-frequency-band-scanning-and-state-change-detection/
description: "I scan your continuous measurement data to find hidden signals, classify what kind of structure is in each frequency range, and pinpoint the exact moment when the system behavior changes."
published: 2026-09-19T13:09:00+00:00
modified: 2026-09-29T07:49:12+00:00
language: en-GB
---

# I Will Detect Hidden Signal Structures and Sudden Transitions in Your Time Series Data

Time Series Structure Diagnostics

I scan your single-channel continuous data, identify which frequency bands contain structure, classify each band, and detect the exact moment when the system behavior changes.

Most common analysis tools tell you “how much power is at each frequency.” This service tells you “what kind of structure is at each frequency, and when it changed.”

Based on a published preprint (DOI: 10.5281/zenodo.22837806).

What you get
– A diagnostic report (PDF) with per-band metrics and classification
– A structured results table (CSV) with all band metrics and labels
– Detected transition timestamps
– Three-panel visualization (raw signal, CV over time, entropy over time)
– A short methodology note explaining how to read the results

What we do NOT provide
– Algorithm source code
– Exact parameter values
– Tuning methods or implementation details

The core algorithm and parameter settings are retained as commercial intellectual property. Only analysis results are delivered.

Validated on
– Synthetic signals with known structure
– LIGO gravitational-wave detector data
– Real-world continuous measurements from multiple domains

Potential applications
– EEG and neuroscience: meditation, sleep staging, anesthesia monitoring, neurological research
– Mechanical engineering: vibration monitoring, equipment fault detection, rotating machinery
– Finance and economics: cycle analysis, regime shift detection, structural breaks
– Environmental science: climate records, hydrological series, seismic data
– Any single-channel continuous dataset where the behavior may change over time

What you need to provide
– Your data file (CSV, TXT, or HDF5)
– Sampling rate (how often data is recorded)
– A short description of what you are looking for

Delivery time
– Single file: within 24 hours
– Batch (10+ files): 3–5 business days

Pricing
– Basic: one dataset, report + CSV
– Standard: up to 3 datasets, comparative analysis, one Q&A round
– Advanced: batch analysis, custom frequency bands (no source code)

Data privacy
Your uploaded data is used only for your analysis task. After delivery, source data is permanently deleted within 7 days. Data is never shared or used for any other purpose.