Random Signals for Communications and Signal Processing

... M. H. Hayes, Statistical Digital Signal Processing and Modeling, John Wiley, 1996. "  John A. Gubner, Probability and Random Processes for Electrical and Computer Engineering, Cambridge ... of random variables. "  Model datasets arising in communications using common probabilistic models. "  Analyze the effect of randomness on communication signals. "  Model and ... Discrete-Time Random Process "  Signal Modeling "  Wiener Filters "  Spectrum Estimation "  Adaptive Filters "  Applications in Communications and Signal Processing...

Tài liệu 71 Chaotic Signals and Signal Processing doc

... Introduction Signals generatedby chaotic systemsrepresenta potentially rich class of signals both for detecting and characterizing physical phenomena and in synthesizing new classes of signals for communications, remote ... rich mechanism for signal design and generation, with potential appli-cations to communications and signal processing. Because chaotic signals are typically broadband,noise-like, and difﬁcult ... that are deter-ministic and predictable such as transient and periodic signals, and for processing signals that arestochastic. Chaotic signals associated with the homogeneous response of certain...

Advanced Textbooks in Control and Signal Processing ppt

... structured and systematic presentationof some of the newer emerging control and signal processing technologies inthe textbook series.One of our aims for the Advanced Textbooks in Control and Signal ... CaponettoStatistical Signal Processing T. ChonavelDiscrete-time Stochastic Processes (2nd Edition)T. SöderströmPar a llel Computing for R eal-time Signal Processing and ControlM.O. Tokhi, M.A. Hossain and ... engineering and signal processing continue to ﬂourish and develop. In common with general scientiﬁc investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are...

Báo cáo khoa học: "An Integrated Architecture for Shallow and Deep Processing" doc

... annota-tions. XML is used as a uniform way of represent-ing and keeping all results of the various processing components and to support a transparent softwareinfrastructure for LT-based applications. ... type which expands to a feature structureused in parsing. We exploit such a type interface for coupling shallow and deep processing. The classesof named entities delivered by shallow processing are ... information, while the multi-levelchart contains positional and abstraction-based in-formation, e.g., feature structures representing NLPentities in a uniform, linguistically motivated form.Applications...

Model Food Security Plan for Meat and Poultry Processing Facilities ppt

... Plan for Meat and Poultry Processing Facilities 11 In addition to ensuring general inside security, processing security, and storage security, a Food Security Plan for meat and poultry processing ... etc. Model Food Security Plan for Meat and Poultry Processing Facilities 7 THIS PAGE INTENTIONALLY LEFT BLANK Model Food Security Plan for Meat and Poultry Processing Facilities 12 Appendix ... development and implementation of food security plans for meat and poultry processing facilities. 2.0 Why Develop a Model Plan? FSIS believes that the security of meat and poultry processing...

DIGITAL FILTERS AND SIGNAL PROCESSING docx

... harmonic and aperiodic signals and compound signals, and impulse characteristics of any form can be synthesized on the baseof components set mentioned. The uniformity of mathematical signal and filter ... together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. Digitalfilters and signal processing are ... application of signal/ filter frequency and frequency-time representations,based on Laplace transform, allowed developing simple and effective direct methods for performance analysis of signal processing...

Intelligent Systems and Signal Processing in Power Engineering ppt

... engineering. Fuzzy logic was designed to5xiv Contents5.3 SignalsandSystems 2365.3.1 Discrete-TimeSignals 2375.3.2 ImportantDiscrete-timeSignals 2395.3.3 LinearShift-Invariant(LSI)System 2415.3.4 ... AnalyzingLightningStrike 352References 3525.13 ResearchInformation 3535.13.1 GeneralSignalProcessing 3535.13.2 SignalProcessingandPowerEngineering 3535.13.3 Disturbance&FaultAnalysis ... universe of discourse for the two input variables are different. For distance, the universe ranges [0 m, 500 m], and for velocity, [0 Km/h, 200 Km/h].Regarding the MFs, for the ﬁrst and the last linguistic...

soille, pesaresi, ouzounis - mathematical morphology and its applications to image and signal processing

... adapted to bipolar information.Image Decompositions and Transformations as Peaks and Wells 31Fig. 1.Columns 1 and 2 : Binary sets Z and Y and their decompositionColumn 3 : Z  Y and its decompositionColumn ... morphology [8], is important to handle in an con-sistent way an object and its complement for many applications (for instance inimage processing and spatial reasoning). Therefore it is useful to know ... bipolar fuzzy set;– positive and negative information are represented by logical formulas ϕ and ψ, generated by a set of propositional symbols and connectives, and theconsistency constraint...

starck, murtagh, fadili - sparse image and signal processing

... ridgelets (Candès and Donoho 1999), curvelets (Candès and Donoho 2002; Candès et al. 2006a; Starcket al. 2002), bandlets (Le Pennec and Mallat 2005), and contourlets (Do and Vetterli2005), ... represent our data: the Fourier transform for stationary signals  the windowed Fourier transform (or a local cosine transform) for locally station-ary signals ... band–limited signals. By establishing a direct link between sampling and sparsity, com-pressed sensing has had a huge impact in many scientific fields such as coding and information theory, signal and...

stefano cagnoni - evolutionary imageanalysis and signal processing 2009

... the other hand, details about the speciﬁc applications are usuallylimited to the information that is essential for their understanding.ContentsEvolutionary Image Analysis and Signal Processing Texture ... tool.4.3 Experiments III and IVFigure 12(a) is the image used by Yoshimura and Oe [13] and it was used inour Experiments III and IV as the input image for I-EvoSeg and EvoSeg algo-rithms. ... (seconds) for 1 runNumber of generationsErrorExe. timeFig. 13 The mean error ± standard deviation and the average execution time for 30 runs ofour algorithm for the parabola in Fig. 12 For the...

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