📘 Kernel Documentation: sig2dna.encode

🔧 Function

sig2dna.encode(signal, scales)

📥 Inputs

Name	Type	Description
signal	array/list	1D analytical signal (e.g., GC-MS trace)
scales	list[int]	List of wavelet scales to analyze (e.g., [1, 2, 4])

📤 Outputs

Name	Type	Description
dna_sequence	str	Encoded symbolic sequence (e.g., YAZBZZ…)
motifs	list	Detected symbolic motifs or features

🧠 Assumptions

• Signal is pre-processed and normalized.

• CWT-based encoding using Ricker or Gaussian wavelets.

• Motif extraction is based on thresholded energy and position features.

⚠️ Limitations

• Encoding is sensitive to noise and baseline drift.

• Interpretability depends on motif dictionary and resolution.

• Sequence length depends on signal resolution and selected scales.

🔗 See Also

• DNAsignal and DNAstr classes for decoding and alignment

• signal_collection.generate_synthetic() for testing and benchmarking

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Document updated: 2025-05-29