Wavelet-based algorithm for signal analysis
EURASIP Journal on Applied Signal Processing
Low-frequency vocal modulations in vowels produced by Parkinsonian subjects
Speech Communication
Three-Dimensional Shape Measurement Using Maar Wavelet Transform
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
A combined wavelet analysis-fuzzy adaptive algorithm for radar/infrared data fusion
Expert Systems with Applications: An International Journal
On the analytic wavelet transform
IEEE Transactions on Information Theory
Time-frequency representation based on an adaptive short-time Fourier transform
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Wavelet ridges for musical instrument classification
Journal of Intelligent Information Systems
Fast-varying AM-FM components extraction based on an adaptive STFT
Digital Signal Processing
The role of functional data analysis for instantaneous frequency estimation
Computational Statistics
| Hi-index | 35.75 |
The characterization and the separation of amplitude and frequency modulated signals is a classical problem of signal analysis and signal processing. We present a couple of new algorithmic procedures for the detection of ridges in the modulus of the (continuous) wavelet transform of one-dimensional (1-D) signals. These detection procedures are shown to be robust to additive white noise. We also derive and test a new reconstruction procedure. The latter uses only information from the restriction of the wavelet transform to a sample of points from the ridge. This provides a very efficient way to code the information contained in the signal