... 393Alexandru Telea and Andrei JalbaA Comparison of Two Tree Representations for Data-Driven Volumetric Image Filtering 405Andrei C. Jalba and Michel A. Westenberg Image Decompositions and Transformations ... 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 in image processingand spatial reasoning). Therefore it is useful to know...
... manifold. For further information on derivation and implementation of this hard constraintrefer to [1] and references therein.The closed form analytical expressions for first and second order informa-tion ... algorithms for first and third order TITO FIR demixingsystems over 10 trials.Figure 2-3. (a) and (b) are the two original signals, (c) and (d) are the convolutively mixedsignals, (e) and (f) ... combi-nations,” Digital Signal Processing, vol. 6, no. 1, pp. 5–16, Jan. 1996.K. J. Pope and R. E. Bogner, “Blind signal separation II: Linear, convolutive combi-nations,” Digital Signal Processing, vol....
... Line Slot Array Antenna for IEEE 802.11 B/G WLAN ApplicationsS.Zagriatski, and M. E. Bialkowski 197C.Tanriover, and B.Honary87 SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND MULTIMEDIAedited ... chapter. We use bold upper and low-ercase letters to show matrices and vectors, respectively in the time, frequency and domains, e.g., for matrices andfor vectors. Ma-trix and vector transpose, ... is applied and theparameters for the HMM are found. The model parameter set for an HMMwith N states and M mixtures is8Chapter 1model, and the gain difference, g, between training and enhancementenvironment.The...
... utilizing signalprocessing to improvesystem performance and allow for a cost reduction. The issues consideredrange from antenna design and channel equalisation through multi-ratedigital signalprocessing ... will be transformed into the logspectral domain SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND MULTIMEDIA SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND MULTIMEDIAedited byTadeusz A. WysockiUniversity ... chapter. We use bold upper and low-ercase letters to show matrices and vectors, respectively in the time, frequency and domains, e.g., for matrices andfor vectors. Ma-trix and vector transpose,...
... manifold. For further information on derivation and implementation of this hard constraintrefer to [1] and references therein.The closed form analytical expressions for first and second order informa-tion ... (a) and (b) are the two original signals, (c) and (d) are the convolutively mixedsignals, (e) and (f) are the permuted separated results.(2.18,2.19) for K = 401 frames of the two mixed signals. ... combi-nations,” Digital Signal Processing, vol. 6, no. 1, pp. 5–16, Jan. 1996.K. J. Pope and R. E. Bogner, “Blind signal separation II: Linear, convolutive combi-nations,” Digital Signal Processing, vol....
... manifold. For further information on derivation and implementation of this hard constraintrefer to [1] and references therein.The closed form analytical expressions for first and second order informa-tion ... combi-nations,” Digital Signal Processing, vol. 6, no. 1, pp. 5–16, Jan. 1996.K. J. Pope and R. E. Bogner, “Blind signal separation II: Linear, convolutive combi-nations,” Digital Signal Processing, vol. ... isinvestigated.2.FEATURE EXTRACTION FROM SIGNALSThe signal of concern is a discrete time noisy speech signal x(n), foundfrom the corresponding correctly band limited and sampled continuous signal. It is assumed...
... communications, remote sensing, and a variety of other signalprocessing applications.In classical signalprocessing a rich set of tools has evolved forprocessing signals that are deter-ministic and predictable ... rich mechanism forsignal design and generation, with potential appli-cations to communications andsignal processing. Because chaotic signals are typically broadband,noise-like, and difficult ... that are deter-ministic and predictable such as transient and periodic signals, andforprocessing signals that arestochastic. Chaotic signals associated with the homogeneous response of certain...
... structured and systematic presentationof some of the newer emerging control andsignalprocessing technologies inthe textbook series.One of our aims for the Advanced Textbooks in Control andSignal ... CaponettoStatistical Signal Processing T. ChonavelDiscrete-time Stochastic Processes (2nd Edition)T. SöderströmPar a llel Computing for R eal-time SignalProcessingand ControlM.O. Tokhi, M.A. Hossain and ... engineering andsignalprocessing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are...
... 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 signaland filter ... together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. Digitalfilters andsignalprocessing 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...