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Advanced signal processing Dr. Mohamad KAHLIL Islamic University of Lebanon. Outline. Random variables Histogram, Mean, Variances, Moments, Correlation, types, multiple random variables Random functions Correlation, stationarity, spectral density estimation methods
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Advanced signal processing Dr. Mohamad KAHLIL Islamic University of Lebanon
Outline • Random variables • Histogram, Mean, Variances, Moments, Correlation, types, multiple random variables • Random functions • Correlation, stationarity, spectral density estimation methods • Signal modeling: AR, MA, ARMA, • Advanced applications on signal processing: • Time frequency and wavelet • Detection and classification in signals
Chapter 2: Random functions • Definitions • Probability density functions • Cumulative density functions • Moments of a random functions • Covariance • Stationary process • Statistical auto and inter-correlation • Spectral density estimation • From autocorrelation • Bank filters method • Periodogram • White noise analysis
Random functions • Let us consider the random process : measure the temperature in a room • Many measurements can be taken simultaneously using different sensors (same sensors, same environments…) and give different signals z1 t t1 t2 z2 Signals obtained when measuring temperature using many sensors z3
PDF and CDF of Random Process • Probability density function is fX(x;t) or f(x1,x2,x3,…xn;t1,t2,…tn) • Cumulative density function • We can write
Jointly Stationary Properties • Properties • Uncorrelated: • Orthogonal: • Independent: if x(t1) and y(t2) are independent (joint distribution is product of individual distributions)