A new technique to reduce cross terms in the Wigner distribution
Digital Signal Processing
Generalized Hilbert transform and its properties in 2D LCT domain
Signal Processing
Differential convolution for medical diagnosis
International Journal of Computer Applications in Technology
Goodness-of-fit tests based on empirical characteristic functions
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Correlation modelling of complex data – physics, statistics and heuristics
International Journal of Data Analysis Techniques and Strategies
Bacterial foraging trained wavelet neural networks: application to bankruptcy prediction in banks
International Journal of Data Analysis Techniques and Strategies
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We have demonstrated the equivalence of two formulations for data processing, which usually are studied separately and independently. Habitually, for time series analysis, like signals processed in communications, electronics, control sciences, etc., mathematical tools based on autocorrelations, cross-correlations or convolutions, etc., are applied. Another sort of formulations is applied for analysis in spectrographic techniques, where the data is usually processed with statistical procedures based on the least square method. The equivalence demonstrated between both methodologies opens new possibilities in time series analysis, in order to find predetermined structures in the acquired data. Also, all of the mathematical criteria often used in spectroscopic analysis like the limit of detection, or the determination limit, could be applied in methods for analysis of data depending on time.