Linear arrays

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Optimal Design of Nonuniform Linear Arrays in Cellular Systems by OutofCell Interference Minimization
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This book is the result of close cooperation between industry and academia, notably Ericsson and two universities in Sweden: Chalmers University of Technology (CTH) in Göteborg and The Royal Institute of Technology (KTH) in Stockholm. In 1987, a student at CTH presented her PhD thesis on the topic of conformal antennas. It was then considered an interesting but difficult technology with no immediate application.
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An array is a series of elements of the same type placed in contiguous memory locations that can be individually referenced by adding an index to a unique identifier. That means that, for example, we can store 5 values of type int in an array without having to declare 5 different variables, each one with a different identifier.
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Linear Array Pattern Synthesis The fields radiated from a linear array are a superposition (sum) of the fields radiated by each element in the presence of the other elements. Each element has an excitation parameter, which is current for a dipole, voltage for a slot
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Fixed beam arrays are usually either linear arrays or assemblies of linear arrays to make a planar array. Thus the linear array is a basic building block. When the array elements are in series along a transmission line, the array is termed “series.” Similarly, when the elements are in parallel with a feed line or network, the array is termed “shunt.” A further division of series feeds is into resonant or standing wave feeds, and travelling wave feeds. Shunt feeds are generally of corporate type, or distributed. Each of these types is discussed below. ...
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This report provides an overview of the statutory framework, key players, infrastructure, resources, tools, and operations associated with enforcement and compliance of the major pollution control laws and regulations administered by EPA. It also outlines the roles of federal (including regional offices) and state regulators, as well as the regulated community. Understanding the many facets of how all federal pollution control laws are enforced, and the responsible parties involved, can be challenging.
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Dermatitis herpetiformis. This disorder typically displays pruritic, grouped papulovesicles on elbows, knees, buttocks, and posterior scalp. Vesicles are often excoriated due to associated pruritus. The shape of lesions is also an important feature. Flat, round, erythematous papules and plaques are common in many cutaneous diseases. However, targetshaped lesions that consist in part of erythematous plaques are specific for erythema multiforme (Fig. 529). In the same way, the arrangement of individual lesions is important.
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Computationally Efﬁcient DOA and Polarization Estimation of Coherent Sources with Linear Electromagnetic VectorSensor Array
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The Internet as a research vehicle presents both opportunities and challenges for psychological research. In 1985, only 8.2% of US households had a personal computer, and the Internet as we now know it, with its rich array of communication, information, entertainment, and commercial services, did not exist. Since then, this exotic technology has become domesticated and is now used by the majority of Americans for personal and economic reasons (Cummings & Kraut, 2002).
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Vector processors provide highlevel operations that work on vectors, i.e., linear arrays of numbers [20]. A typical vector is able to contain between 64 and 512 64bit elements. With a single instruction, operations can be performed in parallel on all elements. Specialized architectures with large numbers of simple processing elements are required. Compared to vector registers, SIMD registers can hold a small number of elements. For example, at most four 32bit values can be processed using SIMD instructions in a Pentium 4.
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CAI 2009 was the Third International Conference on Algebraic Informatics. It was intended to cover the topics of algebraic semantics on graphs and trees, formal power series, syntactic objects, algebraic picture processing, finite and infinite computations, acceptors and transducers for strings, trees, graphs, arrays, etc., decision problems, algebraic characterization of logical theories, process algebra, algebraic algorithms, algebraic coding theory, algebraic aspects of cryptography.
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Microfabricated QuillType Surface Patterning Tools For The Creation Of Biological Micro/Nano Arrays
Accordingly, PhC devices in SOI are realized by creating a lattice of airholes in silicon, which can by achieved by anisotropic etching, of a high resolution patterned surface, into the silicon device layer (top layer of the SOI wafer). The refractiveindex modulation, depth, and length of the device are the main parameters that are used to determine the optical properties of devices based on a photonic bandgap. Thus, stringent control of these parameters necessitates highresolution lithography and highaspectratio etching.
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In chapter 11, we cover searching and sorting. After you have read and studied this chapter, you should be able to: Perform linear and binary search algorithms on small arrays, determine whether a linear or binary search is more effective for a given situation, perform selection and bubble sort algorithms, describe the heapsort algorithm and show how its performance is superior to the other two algorithms, apply basic sorting algorithms to sort an array of objects.
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OpenCV (Open Source Computer Vision Library: http://opencv.org) is an opensource BSDlicensed library that includes several hundreds of computer vision algorithms. The document describes the socalled OpenCV 2.x API, which is essentially a C++ API, as opposite to the Cbased OpenCV 1.x API. The latter is described in opencv1x.pdf. OpenCV has a modular structure, which means that the package includes several shared or static libraries.
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Basic Array Characteristics This chapter is concerned with basic characteristics of linear and planar arrays, primarily with uniform excitation. The theory of, and procedures for, the design of array distributions to produce narrowbeam, lowsidelobe patterns, or shaped beams, are covered in detail in Chapter 3. Impedance effects due to mutual coupling are treated in Chapter 7.
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Many aircraft radars are now equipped with flat plane slot arrays instead of dish antennas, where the outline is approximately circular. These are usually fixed narrowbeam antennas with controlled sidelobes. Pattern synthesis typically usesthe product of two linear syntheses;one along the slot “sticks,” and a second across the sticks. These are often designed as Taylor ii patterns, as described in Chapter 3. Since the sticks near the edge are shorter, with fewer slots, than those at the center, the overall pattern will deviate somewhat from the product of the two orthogonal patterns...
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A useful operational definition of antenna array superdirectivity (formerly called supergain) is directivity (see Chapter 2) higher than that obtained with the same array length and elements uniformly excited (constant amplitude and linear phase). Excessive array superdirectivity inflicts major problems in low radiation resistance (hence low efficiency), sensitive excitation and position tolerances, and narrow bandwidth.
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SUPERPOSITION AND CONVOLUTION In Chapter 1, superposition and convolution operations were derived for continuous twodimensional image fields. This chapter provides a derivation of these operations for discrete twodimensional images. Three types of superposition and convolution operators are defined: finite area, sampled image, and circulant area. The finitearea operator is a linear filtering process performed on a discrete image data array.
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LINEAR PROCESSING TECHNIQUES Most discrete image processing computational algorithms are linear in nature; an output image array is produced by a weighted linear combination of elements of an input array. The popularity of linear operations stems from the relative simplicity of spatial linear processing as opposed to spatial nonlinear processing. However, for image processing operations, conventional linear processing is often computationally infeasible without efficient computational algorithms because of the large image arrays....
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