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remote sensing, and a variety of other signal processing applications.In classical signal processing a rich set of tools has evolved for processing signals that are deter-ministic and predictable such as transient and periodic signals, and for proc[r]

Williams, D.B. “Detection: Determining the Number of Sources”Digital Signal Processing HandbookEd. Vijay K. Madisetti and Douglas B. WilliamsBoca Raton: CRC Press LLC, 1999c1999byCRCPressLLC67Detection: Determining theNumber of SourcesDouglas B. WilliamsGeorgia Institute of Tec[r]

T, 1 ≤ i ≤ d.Moreover, the additive noise vector n(t) is taken from a zero-mean, spatially uncorrelated randomprocess with variance σ2N, which is also uncorrelated with the signals. Since every row of A corre-sponds to an element of the sensor array, a particular subarray[r]

It will become clear throughout our discussion that the different adaptive RLS schemes can be de-scribed in array forms, where the necessary operations are elementary rotations as described above.Such array descriptions lend themselves rather directly to parallelizable and modular implementa-[r]

1999 by CRC Press LLC13.2 Signal DetectionAssume that for some physical measurement a sensor produces an output waveform x ={x(t) : t ∈[0,T]} over a time interval [0,T]. Assume that the waveform may have been produced by ambientnoise alone or by an impinging signal of kno[r]

CS Signal Extraction•Identification and Modeling17.6 Concluding RemarksAcknowledgmentsReferences17.1 IntroductionProcesses encountered in statistical signal processing, communications, and time series analysisapplications are often assumed stationary. The plethora of available al[r]

Xử lý tín hiệu số “QUÁCH TUẤN NGỌC” 4.. Digital Signal Processing Applications with Motorola’s DSP56002.[r]

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(BQ) Part 1 The biomedical engineering handbook Medical devices and systems has contents: Digital biomedical signal acquisition and processing, higher order spectral analysis, neural networks in biomedical signal processing, computed tomography,...and other contents.

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Roughly speaking, a speech signal can be classified as voiced or unvoiced . Voiced sounds are generated when the vocal cords vibrate in such a way that the flow of air from the lungs is interrupted periodically, creating a sequence of pulses to excite the vocal tract[r]

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