LEADER 01273nam0-2200337---450 001 990008878940403321 005 20200730132645.0 035 $a000887894 035 $aFED01000887894 035 $a(Aleph)000887894FED01 100 $a20090717d1995----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $aStato limite di prima fessurazione: confronto tra varie leggi costitutive del cls$fTeodoro De Riggi, Vincenzo Perrone 210 $a[S. l.$cs. n.]$d1995$eNapoli$gLitografia Nicola Libero 215 $aIII, 75 p.$cill.$d30 cm 300 $aSul front.: Istituto di costruzioni, Universitą degli studi di Napoli Federico 2., Facoltą di architettura, pubblicazione n. 195 610 0 $aCostruzioni in cemento armato$aCalcolo 610 0 $aCostruzioni in calcestruzzo$aCalcolo 700 1$aDe Riggi,$bTeodoro$0433611 701 1$aPerrone,$bVincenzo$f<1951- ;$carchitetto>$010663 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008878940403321 952 $aD 593 CAN$b2045$fDARPU 952 $aD 595 CAN$b2047$fDARPU 952 $aD 594 CAN$b2046$fDARPU 959 $aDARPU 996 $aStato limite di prima fessurazione: confronto tra varie leggi costitutive del cls$9802738 997 $aUNINA LEADER 04207nam 2200517Ia 450 001 9910739457303321 005 20200520144314.0 010 $a3-642-37880-3 024 7 $a10.1007/978-3-642-37880-5 035 $a(OCoLC)847969938 035 $a(MiFhGG)GVRL6VDF 035 $a(CKB)2560000000104468 035 $a(MiAaPQ)EBC1317302 035 $a(EXLCZ)992560000000104468 100 $a20130528d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in heuristic signal processing and applications /$fAmitava Chatterjee, Hadi Nobahari, Patrick Siarry, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (xv, 387 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a3-642-44525-X 311 $a3-642-37879-X 320 $aIncludes bibliographical references and index. 327 $aChap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design -- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters -- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization -- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions -- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks -- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems -- Chap. 7: Iterative Design of FIR Filters -- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design -- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization -- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation -- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter -- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification -- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging -- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation -- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform -- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art. 330 $aThere have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems. In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking.   The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing. 606 $aHeuristic algorithms 606 $aSignal processing 615 0$aHeuristic algorithms. 615 0$aSignal processing. 676 $a006.3 701 $aChatterjee$b Amitava$01061356 701 $aNobahari$b Hadi$01754782 701 $aSiarry$b Patrick$0860327 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739457303321 996 $aAdvances in heuristic signal processing and applications$94191278 997 $aUNINA