TÀI LIỆU DIGITAL SIGNAL PROCESSING P2 DOC

and to determine exactly how many sources there are, we must simply determine how many of thesmallest eigenvalues are equal. If there are not fewer sources than sensors (Ns≥ M), then noneof the smallest eigenvalues are equal. The detection algorithms then assume that only the smallesteigenvalue is i[r]

−1P−1k=0XP(ω)XP(2πk/P − ω) exp(−j2πkn/P ), andthen smoothed to obtain a consistent estimate of Sxx(n; ω).17.3.2 Links with Time-Frequency RepresentationsConsistency (and hence reliability) of single record estimates is a notable difference between cyclo-stationary and time-frequency signal a[r]

and extracting known or partially known signals in backgrounds of chaotic noise. In other scenarios,it is the chaotic signal that is of direct interest and which is corrupted by other signals. In thesecases we are interested in detecting, discriminating, and extracting known or partially know[r]

equations, the so-called invariance equation, derived from the basis matrix estimated inStep 1, and3. Spatial Frequency Estimation computation of the eigenvalues of the solution of the invari-ance equation formed in Step 2.Many antenna arrays used in practice have geometries that possess some form o[r]

,(21.27)c1999 by CRC Press LLCwhere λ is a positive scalar that is less than or equal to one (usually 0  λ ≤ 1). It is often called theforgetting factor since past data is exponentially weighted less than the more recent data. The specialcase λ = 1 is known as the growing memory case, since, as th[r]

. The GLRT can be interpretedas a LRT which is based on the most likely values of the unknown parameters θHand θK, i.e., thevalues which maximize the likelihood functions f(x|θH) and f(x|θK), respectively.13.3 Signal ClassificationWhen, based on a noisy observed waveform x, one must decide amo[r]

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and passive sonar applications. The reported results are part of a major research project, which includesthe definition of a generic signal processing structure that allows the implementation of adaptive andsynthetic aperture signal processing schemes in real-time radar,[r]

Image ProcessingMy- Ha Le, Ph.Dhalm@hcmute.edu.vnAugust 31, 2015Reading• Golzalez, Digital Image Processing (2nd Edition)• Golzalez, Digital Image Processing Using MATLAB• Richard Szeliski, Computer Vision: Algorithms and Applications, September 3, 2010 draft, 2010 Spring[r]