Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Understanding the human genome
IEEE Spectrum
Preliminary Wavelet Analysis of Genomic Sequences
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Autoregressive modeling and feature analysis of DNA sequences
EURASIP Journal on Applied Signal Processing
Spectrogram analysis of genomes
EURASIP Journal on Applied Signal Processing
A digital signal processing method for gene prediction with improved noise suppression
EURASIP Journal on Applied Signal Processing
Discrete-Time Signal Processing
Discrete-Time Signal Processing
Computing linear transforms of symbolic signals
IEEE Transactions on Signal Processing
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Periodicities in a DNA sequence contain information about its function and structure. Frequency analysis can be used to reveal such periodicities. A definition of spectrum for DNA sequences is proposed, based on an entropy minimization criterion. It is shown that the properties of the proposed spectrum are those expected from the spectrum of a symbolic sequence. Applications to simulated and experimental DNA sequences are presented and compared against classical techniques to prove the effectiveness of the proposed method.