Process Data Viewer (Qt)

Desktop application for interactive analysis of CSV time-series data, WAV signals, and live RTL-SDR IQ streams.

Built with Qt 6 (Widgets + Charts + Concurrent) and powered by a custom C++ library: 👉 https://github.com/r-lapins/Process-Data-Toolkit

---

Features

CSV Analysis

• Filtering: sensor / time range
• Anomaly detection: Z-score, IQR, MAD
• Statistics: min / max / mean / stddev
• Table + plot with anomaly markers
• Export: JSON, CSV, PNG

WAV Analysis

• Backend: CPU (DFT/FFT) / GPU (cuFFT)
• FFT sizes:
• recommended (power-of-two)
• advanced (cuFFT optimized)
• Windowing: Hann / Hamming / None
• Peak detection: local maxima / threshold
• Plots: signal + spectrum
• Export: PNG, CSV, report

RTL-SDR Analysis

• Live RTL-SDR device streaming
• Frequency presets: FM broadcast, airband, NOAA, ISM 433.92 MHz, ADS-B
• Configurable frequency, sample rate, gain, block size, refresh interval
• Live IQ plot and spectrum plot
• FFT / optional cuFFT backend
• Windowing: Hann / Hamming / None
• Peak detection: local maxima / threshold
• Export: PNG, CSV

---

Demo

CSV Analysis

WAV Analysis

RTL-SDR Analysis

---

UX / Performance

• Async execution (QtConcurrent)
• Non-blocking UI
• Cached analysis via WavAnalysisSession

---

Why this separation?

The project is intentionally split into:

• PDT (library) → reusable, testable, CLI-capable core
• PDV (this app) → interactive Qt UI on top of the library

This design:

• enforces clean architecture
• enables reuse outside GUI applications
• improves testability and maintainability

---

Architecture

The application is split into three layers:

PDV (Qt UI)
├── core/
├── csv/
├── wav//
├── rtlsdr/
└── PDT
    ├── io/
    ├── dsp/
    ├── compute/
    ├── pipeline/
    └── csv/

• UI → controllers → PDT
• no computation in Qt layer
• reusable backend (CLI + GUI)

---

Build

git clone https://github.com/r-lapins/Process-Data-Viewer-Qt/
cd process_data_viewer_qt

git submodule update --init --recursive

cmake --preset debug
cmake --build --preset debug

CUDA:

cmake --preset debug-cuda
cmake --build --preset debug-cuda

Run:

./process_data_viewer

RTL-SDR support requires librtlsdr development files.

Fedora:

sudo dnf install rtl-sdr-devel

Ubuntu/Debian:

sudo apt install librtlsdr-dev

---

Usage

CSV

1. Load file
2. Select filter + method
3. Analyze → inspect → export

WAV

1. Load file
2. Select segment + backend
3. Analyze → inspect → export

RTL-SDR

1. Open RTL-SDR from the toolbar or File menu
2. Select device and frequency preset or enter frequency manually
3. Adjust sample rate, gain, block size, and refresh interval
4. Start stream → inspect IQ/spectrum → export

---

Notes

• Uses QFutureWatcher + QtConcurrent
• Plot downsampling for performance
• Analysis caching handled in PDT
• RTL-SDR stream processing is throttled by refresh interval
• Latest IQ frame is analyzed; stale frames are dropped to keep UI responsive

---

Future Improvements

• Shared base interface for CSV/WAV/RTL-SDR analysis
• Unit tests for controllers
• Frequency preset management (RTL-SDR)
• Drag & drop file loading

---

License

MIT