Relevant bibliographies by topics / Matrix array

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Matrix array'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Matrix array"

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Maringa, Maina, and LM Masu. "The effects of different fibre packing geometries on the transverse matrix strain magnification and fibre strain reduction in uniaxially aligned continuous fibre-reinforced composites." Journal of Composite Materials 50, no. 29 (July 28, 2016): 4159–70. http://dx.doi.org/10.1177/0021998316631701.

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Expressions for transverse matrix strain magnification and fibre strain reduction are derived for square and hexagonal fibre array reinforced composites. Respective transverse matrix and fibre strain magnification and reduction, for the square arrays are shown to be higher for all reinforcing fibre volume fractions than those for the hexagonal arrays. The respective magnification and reduction of the transverse matrix and fibre strains are shown to decrease with increasing values of the ratio of elastic modulus ( Em/ Ef) for both reinforcing fibre arrays. The magnified transverse matrix strains in axially loaded longitudinally aligned continuous fibre-reinforced composites are shown to be higher than the applied longitudinal strains for all square array reinforcing fibre volume fractions and for all hexagonal array reinforcing fibre volumes fractions above 31%. This raises possibilities of longitudinal matrix splitting before interfacial bond failure and transverse matrix failure, in a strain based rather than stress-based failure mode.
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Xu, Le, Rui Li, Xiaoqun Chen, Feng Wei, and Xiaowei Shi. "Wideband Frequency Invariant Array Synthesis Based on Matrix Singular Value Decomposition." Electronics 10, no. 16 (August 23, 2021): 2039. http://dx.doi.org/10.3390/electronics10162039.

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In this paper, an analytic method for frequency invariant (FI) array synthesis is proposed based on matrix singular value decomposition. By grouping the elements of FI array into a few subarrays, the FI pattern in the whole frequency band is realized. Using this algorithm, the number of sub arrays is reduced. Simulation results show that the proposed algorithm can synthesize the 64-element broadband FI array in 0.52 s. For the 18-element linear array, the half power beam width (HPBW) changes less than 0.6 degrees in the bandwidth. Moreover, the range of HPBW variation decreases rapidly along with the increase in the number of elements. Furthermore, the effectiveness of the algorithm is verified by synthesizing FI array with low side lobe level (SLL), beam scanning, and notch requirements. The examples in this paper show that the proposed algorithm can achieve better pattern characteristics with fewer elements. Finally, a broadband antenna with 2:1 bandwidth is improved, and two FI arrays of 23 elements and 64 elements are formed by using the antenna. The active pattern of the array element is introduced into the proposed algorithm, and two FI arrays synthesized by the algorithm are simulated by full wave software.
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Matsushita, Yohsuke, Hiroyuki Shimada, Takuya Miyashita, Miki Shibata, Shigeki Naka, Hiroyuki Okada, and Hiroyoshi Onnagawa. "Organic Bi-function Matrix Array." Japanese Journal of Applied Physics 44, no. 4B (April 21, 2005): 2826–29. http://dx.doi.org/10.1143/jjap.44.2826.

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Pelli, P., H. Elfström, K. Jefimovs, J. Aikio, M. Karppinen, P. Vahimaa, and M. Kuittinen. "Replicated data-matrix array generators." Optics Communications 260, no. 1 (April 2006): 329–36. http://dx.doi.org/10.1016/j.optcom.2005.10.016.

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Kim, K., and S. R. Saunders. "Adaptive antenna array using real symmetric array covariance matrix." Electronics Letters 37, no. 7 (2001): 405. http://dx.doi.org/10.1049/el:20010281.

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Zheng, Mei-yan, Ke-song Chen, Hong-gang Wu, and Xian-pan Liu. "Sparse Planar Array Synthesis Using Matrix Enhancement and Matrix Pencil." International Journal of Antennas and Propagation 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/147097.

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The matrix enhancement and matrix pencil (MEMP) plays important roles in modern signal processing applications. In this paper, MEMP is applied to attack the problem of two-dimensional sparse array synthesis. Firstly, the desired array radiation pattern, as the original pattern for approximating, is sampled to form an enhanced matrix. After performing the singular value decomposition (SVD) and discarding the insignificant singular values according to the prior approximate error, the minimum number of elements can be obtained. Secondly, in order to obtain the eigenvalues, the generalized eigen-decomposition is employed on the approximate matrix, which is the optimal low-rank approximation of the enhanced matrix corresponding to sparse planar array, and then the ESPRIT algorithm is utilized to pair the eigenvalues related to each dimension of the planar array. Finally, element positions and excitations of the sparse planar array are calculated according to the correct pairing of eigenvalues. Simulation results are presented to illustrate the effectiveness of the proposed approach.
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SUBRAMANIAN, K. G., KALPANA MAHALINGAM, ROSNI ABDULLAH, and ATULYA K. NAGAR. "TWO-DIMENSIONAL DIGITIZED PICTURE ARRAYS AND PARIKH MATRICES." International Journal of Foundations of Computer Science 24, no. 03 (April 2013): 393–408. http://dx.doi.org/10.1142/s012905411350010x.

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Parikh matrix mapping or Parikh matrix of a word has been introduced in the literature to count the scattered subwords in the word. Several properties of a Parikh matrix have been extensively investigated. A picture array is a two-dimensional connected digitized rectangular array consisting of a finite number of pixels with each pixel in a cell having a label from a finite alphabet. Here we extend the notion of Parikh matrix of a word to a picture array and associate with it two kinds of Parikh matrices, called row Parikh matrix and column Parikh matrix. Two picture arrays A and B are defined to be M-equivalent if their row Parikh matrices are the same and their column Parikh matrices are the same. This enables to extend the notion of M-ambiguity to a picture array. In the binary and ternary cases, conditions that ensure M-ambiguity are then obtained.
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Wu, Tao, Yiwen Li, Zhengxin Li, Yijie Huang, and Jiwei Xu. "A 2D Nested Array Based DOA Estimator for Incoherently Distributed Sources via Sparse Representation Utilizing L1-Norm." International Journal of Antennas and Propagation 2019 (July 3, 2019): 1–11. http://dx.doi.org/10.1155/2019/6941963.

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Nested arrays are sparse arrays composed of subarrays with nonuniform sensor spacing. Compared with traditional uniform arrays, nested arrays have more degree of freedoms (DOFs) and larger apertures. In this paper, a nested array has been proposed as well as a direction-of-arrival (DOA) estimation method for two-dimensional (2D) incoherently distributed (ID) sources. A virtual array is firstly obtained through vectorization of the cross-correlation matrix of subarrays. Sensor positions of the virtual array and the optimal configuration of the nested array are derived next. Then rotational invariance relationship for generalized steering matrix of the virtual array with respect to nominal azimuth is deduced. According to the rotational invariance relationship, sparse representation model under l1-norm constraint is established, which is resolved by transferring the objective function to second-order cone constraints and combining a estimation residual error constraint for receive vector of the virtual array. Simulations are conducted to investigate the effectiveness of the proposed method in underdetermined situation and examine different experiment factors including SNR, snapshots, and angular spreads as well as sensor number of subarrays. Results show that the proposed method has better performance than uniform parallel arrays with the same number of sensors.
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Di, Jiaying, Wen Hu, Mengxia Li, and Hongtao Li. "An optimized 2D-Robust Adaptive Beamforming algorithm based on Matrix Completion in sparse array." MATEC Web of Conferences 208 (2018): 01003. http://dx.doi.org/10.1051/matecconf/201820801003.

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The sparse arrays can reduce the cost of beamforming, it greatly reduces the number of actual array elements. However, it also brings about the problem of information loss. A 2D-robust adaptive beamforming algorithm in sparse array based on Singular Value Thresholding algorithm is proposed. At first, a signal model of planar array is established based on Matrix Completion, which can be proved to meet Null Space Property. Then the Genetic Algorithm is used to optimize the sparse array, which is determined to reduce the Spectral Norm Error of Matrix Completion and make the array recovered closer to the full array. In the case of sparse array, the missing information is restored by using the theory of Singular Value Thresholding, and then the restored signal is used to design the digital beamformer weights. This algorithm significantly reduces the Spectral Norm Error and forms robust adaptive beam.
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Jiang, Wei, Guodong Qin, and Jian Dong. "DOA Estimation for a Passive Synthetic Array Based on Cross-Correlation Matrix." International Journal of Signal Processing Systems 5, no. 2 (June 2017): 55–59. http://dx.doi.org/10.18178/ijsps.5.2.55-59.

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Dissertations / Theses on the topic "Matrix array"

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Rashedin, Razib. "Novel miniature matrix array transducer system for loudspeakers." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/56177/.

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Conventional pistonic loudspeakers, by employing whole-body vibration of the diaphragm, can reproduce good quality sound at the low end of the audio spectrum. Flat panel speakers, on the other hand, are better at high frequency operation as the reproduced sound at high frequency from a flat panel speaker is not omni-directional as in the case of a conventional loudspeaker. Although flat-panel speakers are compact, small and have a better high frequency response the poor reproduction of bass sound limits its performance severely. In addition, the flat panel speakers have a poor impulse response. The reason for such poor bass and impulse response is that, unlike the whole body movement of a conventional loudspeaker diaphragm, different parts of the panel in a flat panel loudspeaker vibrates independently. A novel loudspeaker has been successfully designed, developed and operated using miniature electromagnetic transducers in a matrix array configuration. In this device, the whole body vibration of the panel reduces the poor bass and impulse response associated with present flat panel speakers. The multi-actuator approach combines the advantages of conventional whole body motion with that of modern flat panel speakers. An innovative miniature electromagnetic transducer for the proposed loudspeaker has been designed, modelled and built for analysis. Frequency Responses show that this novel transducer is suitable for loudspeaker application because of its steady and consistent output over the whole audible frequency range and for various excitation currents. Measurements on various device configurations of this novel miniature electromagnetic transducer show that a moving coil transducer configuration having a magnetic diaphragm is best suited for loudspeaker applications. Finite element modeling has been used to examine single transducer operation and the magnetic interaction between neighbouring transducers in a matrix array format. Experimental results show the correct positioning of the transducers in a matrix configuration reduces the effects of interferences on the magnetic transducers. In addition, experimental results from the pressure response measurement show an improvement in bass response for the longer array speaker.
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Le, Hai Van Dinh. "A new general purpose systolic array for matrix computations." PDXScholar, 1988. https://pdxscholar.library.pdx.edu/open_access_etds/3796.

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In this thesis, we propose a new systolic architecture which is based on the Faddeev's algorithm. Because Faddeev's algorithm is inherently general purpose, our architecture is able to perform a wide class of matrix computations. And since the architecture is systolic based, it brings massive parallelism to all of its computations. As a result, many matrix operations including addition, multiplication, inversion, LU-decomposition, transpose, and solutions to linear systems of equations can now be performed extremely fast. In addition, our design introduces several concepts which are new to systolic architectures: - It can be re-configured during run time to perform different functions with the uses of various control signals propagating throughout the arrays. - It allows for maximum overlaps of processing between consecutive computations, thereby increasing system throughput.
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Hanson, Timothy B. "Cascade adaptive array structures." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1173207031.

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LIU, HUAZHOU. "DIGITAL DIRECTION FINDING SYSTEM DESIGN AND ANALYSIS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060976413.

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Quintero, Badillo Jorge R. "Non-destructive Evaluation of Ceramic Matrix Composites at High Temperature using Laser Ultrasonics." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511800640467908.

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Lepkowski, Stefan. "An ultra-compact and low loss passive beamforming network integrated on chip with off chip linear array." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53599.

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The work here presents a review of beam forming architectures. As an example, the author presents an 8x8 Butler Matrix passive beam forming network including the schematic, design/modeling, operation, and simulated results. The limiting factor in traditional beam formers has been the large size dictated by transmission line based couplers. By replacing these couplers with transformer-based couplers, the matrix size is reduced substantially allowing for on chip compact integration. In the example presented, the core area, including the antenna crossover, measures 0.82mm×0.39mm (0.48% the size of a branch line coupler at the same frequency). The simulated beam forming achieves a peak PNR of 17.1 dB and 15dB from 57 to 63GHz. At the 60GHz center frequency the average insertion loss is simulated to be 3.26dB. The 8x8 Butler Matrix feeds into an 8-element antenna array to show the array patterns with single beam and adjacent beam isolation.
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Park, Edward S. "Microfluidic chamber arrays for testing cellular responses to soluble-matrix and gradient signals." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39471.

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This work develops microfluidic technologies to advance the state-of-the-art in living cell-based assays. Current cell-based assay platforms are limited in their capabilities, particularly with respect to spatial and temporal control of external signaling factors, sample usage, and throughput. The emergence of highly quantitative, data-driven systems approaches to studying biology have added further challenges to develop assay technologies with greater throughput, content, and physiological relevance. The primary objectives of this research are to (i) develop a method to reliably fabricate 3-D flow networks and (ii) apply 3-D flow networks to the development and testing of microfluidic chamber arrays to query cellular response to soluble-matrix signal combinations and gradient signaling fields. An equally important objective is for the chamber arrays to be scaled efficiently for higher-throughput applications, which is another reason for 3-D flow networks. Two prototype chamber arrays are designed, modeled, fabricated, and characterized. Furthermore, tests are performed wherein cells are introduced into the chambers and microenvironments are presented to elicit complex responses. Specifically, soluble-matrix signaling combinations and soluble signal gradients are presented. The study of complex biological processes necessitates improved assay techniques to control the microenvironment and increase throughput. Quantitative morphological, migrational, and fluorescence readouts, along with qualitative observations, suggest that the chamber arrays elicit responses; however further experiments are required to confirm specific phenotypes. The experiments provide initial proof-of-concept that the developed arrays can one day serve as effective and versatile screening platforms. Understanding the integration of extracellular signals on complex cellular behaviors has significance in the study of embryonic development, tissue repair and regeneration, and pathological conditions such as cancer. The microfluidic chamber arrays developed in this work could form the basis for enhanced assay platforms to perform massively parallel interrogation of complex signaling events upon living cells. This could lead to the rapid identification of synergistic and antagonistic signaling mechanisms that regulate complex behaviors. In addition, the same technology could be used to rapidly screen potential therapeutic compounds and identify suitable candidates to regulate pathological processes, such as cancer and fibrosis.
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Liu, Yuanli. "Development of Cross-reactive Sensors Array: Practical Approach for Ion Detection in Aqueous Media." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1345428697.

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Diarra, Bakary. "Study and optimization of 2D matrix arrays for 3D ultrasound imaging." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10165/document.

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L’imagerie échographique en trois dimensions (3D) est une modalité d’imagerie médicale en plein développement. En plus de ses nombreux avantages (faible cout, absence de rayonnement ionisant, portabilité) elle permet de représenter les structures anatomiques dansleur forme réelle qui est toujours 3D. Les sondes à balayage mécaniques, relativement lentes, tendent à être remplacées par des sondes bidimensionnelles ou matricielles qui sont unprolongement dans les deux directions, latérale et azimutale, de la sonde classique 1D. Cetagencement 2D permet un dépointage du faisceau ultrasonore et donc un balayage 3D del’espace. Habituellement, les éléments piézoélectriques d’une sonde 2D sont alignés sur unegrille et régulièrement espacés d’une distance (en anglais le « pitch ») soumise à la loi del’échantillonnage spatial (distance inter-élément inférieure à la demi-longueur d’onde) pour limiter l’impact des lobes de réseau. Cette contrainte physique conduit à une multitude d’éléments de petite taille. L’équivalent en 2D d’une sonde 1D de 128 éléments contient128x128=16 384 éléments. La connexion d’un nombre d’éléments aussi élevé constitue unvéritable défi technique puisque le nombre de canaux dans un échographe actuel n’excède querarement les 256. Les solutions proposées pour contrôler ce type de sonde mettent en oeuvredu multiplexage ou des techniques de réduction du nombre d’éléments, généralement baséessur une sélection aléatoire de ces éléments (« sparse array »). Ces méthodes souffrent dufaible rapport signal à bruit du à la perte d’énergie qui leur est inhérente. Pour limiter cespertes de performances, l’optimisation reste la solution la plus adaptée. La première contribution de cette thèse est une extension du « sparse array » combinéeavec une méthode d’optimisation basée sur l’algorithme de recuit simulé. Cette optimisation permet de réduire le nombre nécessaire d’éléments à connecter en fonction des caractéristiques attendues du faisceau ultrasonore et de limiter la perte d’énergie comparée à la sonde complète de base. La deuxième contribution est une approche complètement nouvelle consistant à adopter un positionnement hors grille des éléments de la sonde matricielle permettant de supprimer les lobes de réseau et de s’affranchir de la condition d’échantillonnage spatial. Cette nouvelles tratégie permet d’utiliser des éléments de taille plus grande conduisant ainsi à un nombre d’éléments nécessaires beaucoup plus faible pour une même surface de sonde. La surface active de la sonde est maximisée, ce qui se traduit par une énergie plus importante et donc unemeilleure sensibilité. Elle permet également de balayer un angle de vue plus important, leslobes de réseau étant très faibles par rapport au lobe principal. Le choix aléatoire de la position des éléments et de leur apodization (ou pondération) reste optimisé par le recuit simulé.Les méthodes proposées sont systématiquement comparées avec la sonde complète dansle cadre de simulations numériques dans des conditions réalistes. Ces simulations démontrent un réel potentiel pour l’imagerie 3D des techniques développées. Une sonde 2D de 8x24=192 éléments a été construite par Vermon (Vermon SA, ToursFrance) pour tester les méthodes de sélection des éléments développées dans un cadreexpérimental. La comparaison entre les simulations et les résultats expérimentaux permettentde valider les méthodes proposées et de prouver leur faisabilité
3D Ultrasound imaging is a fast-growing medical imaging modality. In addition to its numerous advantages (low cost, non-ionizing beam, portability) it allows to represent the anatomical structures in their natural form that is always three-dimensional. The relativelyslow mechanical scanning probes tend to be replaced by two-dimensional matrix arrays that are an extension in both lateral and elevation directions of the conventional 1D probe. This2D positioning of the elements allows the ultrasonic beam steering in the whole space. Usually, the piezoelectric elements of a 2D array probe are aligned on a regular grid and spaced out of a distance (the pitch) subject to the space sampling law (inter-element distancemust be shorter than a mid-wavelength) to limit the impact of grating lobes. This physical constraint leads to a multitude of small elements. The equivalent in 2D of a 1D probe of 128elements contains 128x128 = 16,384 elements. Connecting such a high number of elements is a real technical challenge as the number of channels in current ultrasound scanners rarely exceeds 256. The proposed solutions to control this type of probe implement multiplexing or elements number reduction techniques, generally using random selection approaches (« spars earray »). These methods suffer from low signal to noise ratio due to the energy loss linked to the small number of active elements. In order to limit the loss of performance, optimization remains the best solution. The first contribution of this thesis is an extension of the « sparse array » technique combined with an optimization method based on the simulated annealing algorithm. The proposed optimization reduces the required active element number according to the expected characteristics of the ultrasound beam and permits limiting the energy loss compared to the initial dense array probe.The second contribution is a completely new approach adopting a non-grid positioningof the elements to remove the grating lobes and to overstep the spatial sampling constraint. This new strategy allows the use of larger elements leading to a small number of necessaryelements for the same probe surface. The active surface of the array is maximized, whichresults in a greater output energy and thus a higher sensitivity. It also allows a greater scansector as the grating lobes are very small relative to the main lobe. The random choice of the position of the elements and their apodization (or weighting coefficient) is optimized by the simulated annealing.The proposed methods are systematically compared to the dense array by performing simulations under realistic conditions. These simulations show a real potential of the developed techniques for 3D imaging.A 2D probe of 8x24 = 192 elements was manufactured by Vermon (Vermon SA, Tours,France) to test the proposed methods in an experimental setting. The comparison between simulation and experimental results validate the proposed methods and prove their feasibility
L'ecografia 3D è una modalità di imaging medicale in rapida crescita. Oltre ai vantaggiin termini di prezzo basso, fascio non ionizzante, portabilità, essa permette di rappresentare le strutture anatomiche nella loro forma naturale, che è sempre tridimensionale. Le sonde ascansione meccanica, relativamente lente, tendono ad essere sostituite da quelle bidimensionali che sono una estensione in entrambe le direzioni laterale ed azimutale dellasonda convenzionale 1D. Questo posizionamento 2D degli elementi permette l'orientamentodel fascio ultrasonico in tutto lo spazio. Solitamente, gli elementi piezoelettrici di una sondamatriciale 2D sono allineati su una griglia regolare e separati da una distanza (detta “pitch”) sottoposta alla legge del campionamento spaziale (la distanza inter-elemento deve esseremeno della metà della lunghezza d'onda) per limitare l'impatto dei lobi di rete. Questo vincolo fisico porta ad una moltitudine di piccoli elementi. L'equivalente di una sonda 1D di128 elementi contiene 128x128 = 16.384 elementi in 2D. Il collegamento di un così grandenumero di elementi è una vera sfida tecnica, considerando che il numero di canali negliecografi attuali supera raramente 256. Le soluzioni proposte per controllare questo tipo disonda implementano le tecniche di multiplazione o la riduzione del numero di elementi, utilizzando un metodo di selezione casuale (« sparse array »). Questi metodi soffrono di unbasso rapporto segnale-rumore dovuto alla perdita di energia. Per limitare la perdita di prestazioni, l’ottimizzazione rimane la soluzione migliore. Il primo contributo di questa tesi è un’estensione del metodo dello « sparse array » combinato con un metodo di ottimizzazione basato sull'algoritmo del simulated annealing. Questa ottimizzazione riduce il numero degli elementi attivi richiesto secondo le caratteristiche attese del fascio di ultrasuoni e permette di limitare la perdita di energia.Il secondo contributo è un approccio completamente nuovo, che propone di adottare un posizionamento fuori-griglia degli elementi per rimuovere i lobi secondari e per scavalcare il vincolo del campionamento spaziale. Questa nuova strategia permette l'uso di elementi piùgrandi, riducendo così il numero di elementi necessari per la stessa superficie della sonda. La superficie attiva della sonda è massimizzata, questo si traduce in una maggiore energia equindi una maggiore sensibilità. Questo permette inoltre la scansione di un più grande settore,in quanto i lobi secondari sono molto piccoli rispetto al lobo principale. La scelta casualedella posizione degli elementi e la loro apodizzazione viene ottimizzata dal simulate dannealing. I metodi proposti sono stati sistematicamente confrontati con la sonda completaeseguendo simulazioni in condizioni realistiche. Le simulazioni mostrano un reale potenzialedelle tecniche sviluppate per l'imaging 3D.Una sonda 2D di 8x24 = 192 elementi è stata fabbricata da Vermon (Vermon SA, ToursFrance) per testare i metodi proposti in un ambiente sperimentale. Il confronto tra lesimulazioni e i risultati sperimentali ha permesso di convalidare i metodi proposti edimostrare la loro fattibilità
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Ozer, Erhan. "Application of the T-matrix method to the numerical modeling of a linear active sonar array." Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34718.

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Classically, the T-matrix method is a procedure to exactly compute the multiple scattering of an incident wave from a “cloud” of objects, given knowledge of the free-field scattering properties of a single object for an arbitrary incident wave. For acoustic waves, Profs. Baker and Scandrett have extended the T-matrix method to the case in which the radiation sources are also the scatterers, that is, to the case of an array of active transducers. This thesis is the first successful practical demonstration of the T-matrix method applied to an active sonar array for which a finite-element model was employed to compute the scattering properties of a single transducer. For validation, a T-matrix model of a linear array of piezoelectric spherical thin-shell transducers was modeled, for which analytical approximate values of the T-matrix element values are known. Subsequently, a T-matrix model of a linear array of piezoelectric class V flextensional “ring-shell” transducers was modeled. Beam patterns of the linear array models computed with the T-matrix method are compared with those of an array of point sources, demonstrating that the T-matrix method produces more realistic beam patterns, especially for end fire arrays.
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Books on the topic "Matrix array"

1

Tomás, Lang, ed. Matrix computations on systolic-type arrays. Boston: Kluwer Academic Publishers, 1992.

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Moreno, Jaime H., and Tomás Lang. Matrix Computations on Systolic-Type Arrays. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3610-9.

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Moreno, Jaime H. Matrix Computations on Systolic-Type Arrays. Boston, MA: Springer US, 1992.

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Badano, Luigi P., Roberto M. Lang, and Alexandra Goncalves. Three-dimensional echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0007.

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The advent of fully-sampled matrix array transthoracic transducers has enabled advanced digital processing and improved image formation algorithms and brought three-dimensional echocardiography (3DE) technology into clinical practice. Currently, 3DE is recognized as an important echocardiographic technique, demonstrated to be superior to two-dimensional echocardiography in various clinical scenarios. This chapter focuses on the technology of 3DE matrix transducers, physics of 3D imaging, data set acquisition (multiplane, real-time, full-volume, zoom, and colour), and display (volume rendering, surface rendering and multislice) modalities. The chapter also addresses the issues of training in 3DE, and main clinical indications and reporting of transthoracic and transoesophageal 3DE.
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Towe, E., and D. Pal. Intersublevel quantum-dot infrared photodetectors. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533060.013.7.

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This article describes the basic principles of semiconductor quantum-dot infrared photodetectors based on conduction-band intersublevel transitions. Sufficient background material is discussed to enable an appreciation of the subtle differences between quantum-well and quantum-dot devices. The article first considers infrared photon absorption and photon detection, along with some metrics for photon detectors and the detection of infrared radiation by semiconductors. It then examines the optical matrix element for interband, intersubband and intersublevel transitions before turning to experimental single-pixel quantum-dot infrared photodetectors. In particular, it explains the epitaxial synthesis of quantum dots and looks at mid-wave and long-wave quantum-dot infrared photodetectors. It also evaluates the characteristics of quantum-dot detectors and possible development of quantum-dot focal plane array imagers. The article concludes with an assessment of the challenges and prospects for high-performance detectors and arrays.
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Haider, Shahid Abbas. Systolic arrays for the matrix iterative methods. 1993.

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Book chapters on the topic "Matrix array"

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Akdemir, Deniz. "Array Normal Model and Incomplete Array Variate Observations." In Applied Matrix and Tensor Variate Data Analysis, 93–122. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55387-8_5.

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Moreno, Jaime H., and Tomás Lang. "Linear Pseudosystolic Array for Matrix Algorithms." In The Kluwer International Series in Engineering and Computer Science, 199–223. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3610-9_7.

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Milovanović, E. I., I. Ž. Milovanović, and M. K. Stojčev. "Matrix inversion algorithm for linear array processor." In Parallel Processing: CONPAR 92—VAPP V, 367–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55895-0_432.

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Frumkin, M. A. "Systolic array for eigenvalue of jacobi matrix." In Lecture Notes in Computer Science, 274–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-50647-0_118.

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Kader, A. A. Abdel. "Ocsamo a systolic array for matrix operations." In Lecture Notes in Computer Science, 319–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/3-540-16811-7_186.

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Shen, Min, and Lin Zhu. "Microphone Array Autocorrelation Matrix and Error Analysis." In Lecture Notes in Electrical Engineering, 587–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27323-0_74.

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Okša, Gabriel. "Combined Systolic Array for Matrix Portrait Computation." In Parallel Computation, 58–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49164-3_6.

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Vilser, Rolf-Jürgen, Reiner Creutzburg, Michael Gössel, and Hans-Jörg Grundmann. "Parallel matrix multiplication on an array-logical processor." In Recent Issues in Pattern Analysis and Recognition, 72–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51815-0_44.

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Lam, Stephen P. S. "An iterative array processor architecture for matrix computation." In PARLE'94 Parallel Architectures and Languages Europe, 777–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58184-7_155.

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Fernau, Henning, Rudolf Freund, Rani Siromoney, and K. G. Subramanian. "Contextual Array Grammars with Matrix and Regular Control." In Descriptional Complexity of Formal Systems, 98–110. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41114-9_8.

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Conference papers on the topic "Matrix array"

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Kojima, T. "Matrix Array Transducer and Flexible Matrix Arry Transducer." In IEEE 1986 Ultrasonics Symposium. IEEE, 1986. http://dx.doi.org/10.1109/ultsym.1986.198816.

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Jianfeng Gu, Ping Wei, and Heng-Ming Tai. "DOA estimation using cross-correlation matrix." In 2010 IEEE International Symposium on Phased Array Systems and Technology (ARRAY 2010). IEEE, 2010. http://dx.doi.org/10.1109/array.2010.5613308.

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Matsushita, Yohsuke, Hiroyuki Shimada, Takuya Miyashita, Miki Shibata, Shigeki Naka, Hiroyuki Okada, and Hiroyoshi Onnagawa. "Organic Bi-Function Matrix Array." In 2004 International Conference on Solid State Devices and Materials. The Japan Society of Applied Physics, 2004. http://dx.doi.org/10.7567/ssdm.2004.a-4-5.

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Zhou, Mingyuan, Chunping Wang, Minhua Chen, John Paisley, David Dunson, and Lawrence Carin. "Nonparametric Bayesian matrix completion." In 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2010. http://dx.doi.org/10.1109/sam.2010.5606741.

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Hjorungnes, Are, and Daniel P. Palomar. "Patterned complex-valued matrix derivatives." In 2008 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2008. http://dx.doi.org/10.1109/sam.2008.4606875.

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Yang, Xiangyang, Joseph Lindmayer, and George M. Storti. "Fully parallel optical matrix-matrix multiplier using spherical lens array." In Aerospace Sensing, edited by Dennis R. Pape. SPIE, 1992. http://dx.doi.org/10.1117/12.139921.

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Infante, Leopoldo, Stefano Mosca, and Giulio Pellegrini. "A beam synthesis procedure for matrix-fed cylindrical antenna arrays." In 2016 IEEE International Symposium on Phased Array Systems and Technology (PAST). IEEE, 2016. http://dx.doi.org/10.1109/array.2016.7832543.

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Hamza, Syed A., and Moeness G. Amin. "Sparse Array Design Utilizing Matrix Completion." In 2019 53rd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2019. http://dx.doi.org/10.1109/ieeeconf44664.2019.9048713.

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Boehm, Rainer, and Thomas Heckel. "Simulation of sparse matrix array designs." In 44TH ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLUME 37. Author(s), 2018. http://dx.doi.org/10.1063/1.5031560.

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Hyberg, Per, Magnus Jansson, and Bjorn Ottersten. "Array mapping: Optimal transformation matrix design." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745256.

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Reports on the topic "Matrix array"

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Chatterjee, Siddhartha, Alvin R. Lebeck, Praveen K. Patnala, and Mithuna Thottehodi. Recursive Array Layouts and Fast Matrix Multiplication. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada440384.

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Chou, S. I. Eigenvalues of Covariance Matrix for Two-Source Array Processing. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada236924.

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Le, Hai. A new general purpose systolic array for matrix computations. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5680.

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Chou, S. I. Geometric Characterization of Eigenvalues of Covariance Matrix for Two- Source Array Processing. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada236923.

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Williford, R. E. Stochastic propagation of an array of parallel cracks: Exploratory work on matrix fatigue damage in composite laminates. Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5524606.

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Gao, David. A new sieving matrix for DNA sequencing, genotyping and mutation detection and high-throughput genotyping with a 96-capillary array system. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/754779.

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Shore, Robert, and Arthur D. Yaghjian. Scattering-Matrix Analysis of Linear Periodic Arrays of Short Electric Dipoles. Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada429431.

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