Welcome to 📡🧬 sig2dna_core’s documentation
Contents:
- 📡🧬 sig2dna
- 📚 Table of Contents
- 🧩 1| Main Components
- 🧠 2| Applications
- 🧬 3| Core Concepts - Overview
- 🧠 4| Entropy and Distance Metrics
- 🌀 5 | Sinusoidal Encoding of Symbolic Segments
- 🔍 6| Baseline Filtering and Poisson Noise Rejection
- 🧪 7| Synthetic Signal Generation
- 📦 8| Available Classes
- 📏 9| Example Workflow
- 📊 10| Visualization
- 🔎 11| Motif Detection
- 🤝 12| Alignment
- 🧪 13| Examples (unsorted)
- 📦 14| Installation
- 💡15| Recommendations
- 📄 | License
- 📧 | Contact
- 📎 |Appendices
- 🔄 Pseudo-Inverse Reconstruction of Signals Using Ricker Wavelets
- 📑 Synopsis
- 🌊 Wavelet Transform Fundamentals
- 🌀 The Ricker Wavelet: Properties and Pitfalls
- ⚖️ Energy and Redundancy Considerations
- 📐 Theoretical Justification: Parseval Property of CWT
- 🧮 Pseudo-Inverse via SVD (Moore–Penrose)
- ⚖️ Weighted Reconstruction Strategy
- 🧪 Python Example Using
pywt - 🧮 Implemented methods
- 🌟 Improved inversion | Advanced example
- 📡🧬 Blind Deconvolution of 2D Signals using DNA Representations
- API Reference