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Estimating and interpreting the instantaneous frequency of a signal. I - Fundamentals. II - Algorithms and applications
The concept of instantaneous frequency (IF) is extended to discrete-time signals and methods based on a modeling of the signal phase as a polynomial have been introduced. Expand
Time-Frequency Signal Analysis and Processing: A Comprehensive Reference
Time Frequency Signal Analysis and Processing focuses on advanced techniques and methods that allow a refined extraction and processing of information, allowing efficient and effective decision making that would not be possible with classical techniques. Expand
A human identification technique using images of the iris and wavelet transform
A new approach for recognizing the iris of the human eye is presented, and the resulting one-dimensional signals are compared with model features using different dissimilarity functions. Expand
Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals
The concept of instantaneous frequency, its definitions, and the correspondence between the various mathematical models formulated for representation of IF are discussed and it is shown that these notions are well described in the context of the theory presented. Expand
Time-Frequency Signal Analysis and Processing
An efficient real-time implementation of the Wigner-Ville distribution
To evaluate the analytic signal required by the WVD analysis system, it is shown that the time domain definition implemented as a finite impulse response (FIR) filter is practical and more efficient than the frequency domain definition of the analytical signal. Expand
Time-Frequency Signal Analysis: Methods and Applications.
Partial table of contents: FUNDAMENTALS Instantaneous Frequency and Time-Frequency Distributions, Techniques and Limitations of Spectrum Analysis with the DFT, Applications of Time-Varying Filtering and Signal Synthesis. Expand
Comments on "The Cramer-Rao lower bounds for signals with constant amplitude and polynomial phase"
It is indicated that the resulting expressions depend on the interval over which the signal is defined, and the proper choice of the interval is the one that centers the signal around zero and results in the minimum lower bounds. Expand
A high-resolution quadratic time-frequency distribution for multicomponent signals analysis
The paper introduces a new kernel for the design of a high resolution time-frequency distribution (TFD). We show that this distribution can solve problems that the Wigner-Ville distribution (WVD) orExpand
Separating More Sources Than Sensors Using Time-Frequency Distributions
A new separation method based on time-frequency distributions (TFDs) for blind separation of nonstationary sources in the underdetermined case, where there are more sources than sensors is proposed. Expand