Submitted by Jean Medeiros (jeanletras@uepb.edu.br) on 2016-05-11T13:46:12Z No. of bitstreams: 1 PDF - Ubieli Alves Araújo Vasconcelos.pdf: 1747559 bytes, checksum: 9c92c8208f13fd0636cc2431631976dc (MD5) / Approved for entry into archive by Secta BC (secta.csu.bc@uepb.edu.br) on 2016-07-21T20:46:01Z (GMT) No. of bitstreams: 1 PDF - Ubieli Alves Araújo Vasconcelos.pdf: 1747559 bytes, checksum: 9c92c8208f13fd0636cc2431631976dc (MD5) / Approved for entry into archive by Secta BC (secta.csu.bc@uepb.edu.br) on 2016-07-21T20:46:10Z (GMT) No. of bitstreams: 1 PDF - Ubieli Alves Araújo Vasconcelos.pdf: 1747559 bytes, checksum: 9c92c8208f13fd0636cc2431631976dc (MD5) / Made available in DSpace on 2016-07-21T20:46:10Z (GMT). No. of bitstreams: 1 PDF - Ubieli Alves Araújo Vasconcelos.pdf: 1747559 bytes, checksum: 9c92c8208f13fd0636cc2431631976dc (MD5) Previous issue date: 2016-02-24 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / Cotton is a crop of large economic value at worldwide. The Brazilian production is around 1.5 million tons, coming mainly from the Mid West, Southeast and Northeast region, specially Cerrado areas. Despite to importance of crop to Brazil, there is a broad demand to investment in breeding area focusing on selection of promising genotypes as to yield and regional adaptation. In order to attend this demand, breeding programs have focused on generation of different lines by hybridization, using robust genitors, aiming broaden the genetic background of the lines and to favor the selection procedures. In this study we used 20 cotton lines, obtained through diallel crosses with parents of Moco and herbaceous types, aiming to estimate the GCC and SCC in materials tolerant to drought, based on agronomic traits. The study was carried out in semiarid environment, at Barbalha Station, CE, in dry season, using water supplementation. After the appearance of the first buds, plants were subjected to 23 days of water suppression, and re-established watering thereafter. The experimental design was randomized blocks, with 20 treatments and factorial scheme (20 x 2), and three replications. The variables evaluated were: plant height, Productivity, fiber percentage, Boll weight, Rising of first flower and Rising of first boll. Additionally, total chlorophyll content in leaves was determined. The statistical analysis wasperformed by GENE program. Analyses of combinatorial capacities were performed according to the method adapted by Griffing (1956), which estimates the effects of GCC of each parent and the effects of SCC. There was wide variation between the parents for the analyzed variables. The follow parents showed best estimates of GCA, and therefore, have more favorable alleles, based on traits studied: BRS 286, CNPA 5M and CNPA 7MH. To SCC, the hybrids BRS 286 X CNPA 5M, BRS RUBI X CNPA 5M and BRS 286 X BRS Serido demonstrated complementarity Plant hight and porductivity. The estimates of GCC and SCC presented in this paper provided valuable inputs to cotton improvement, as to both parents and hybrid selections. / O algodão é uma cultura de grande importância econômica mundialmente. No Brasil a produção encontra-se na faixa de 1,5 milhões de toneladas, oriundas principalmente das regiões Centro - Oeste, Sudeste e Nordeste, com maior área situada nos Cerrados. Apesar do crescimento da cultura em nível nacional, há necessidade de investimento na área de melhoramento genético com fins de selecionar genótipos promissores para produção e adaptação regional. Para tanto, os programas de melhoramento têm focalizado na geração de linhagens divergentes, por meio de hibridações com progenitores robustos, de modo a ampliar a base genética das linhagens e favorecer os procedimentos de seleção. Nesse trabalho utilizou-se uma população composta de 20 híbridos de algodão, obtida via cruzamentos dialelicos com genitores dos tipos arbóreo e herbáceo, objetivando estimar as CGC e CEC dos materiais tolerantes a seca, focalizando em caracteres agronômicos. O trabalho foi conduzido em ambiente semiárido, em Barbalha, CE, em regime de sequeiro com complementação hídrica.Após o surgimento dos primeiros botões florais, as plantas foram submetidas a 23 dias de supressão hídrica, sendo restabelecidas as regas após esse período. O delineamento experimental adotado foi de blocos ao acaso, com 20 tratamentos, com esquema fatorial 20 x 2, e três repetições. As variáveis avaliadas foram: Altura de planta, Produtividade, Percentagem de fibras, Peso de um capulho, Surgimento da primeira flor e Surgimento da primeira maçã. Adicionalmente, determinou-se o teor de Clorofila total nas folhas. As analises estatísticas foram realizadas pelo programa GENES. As análises das capacidades combinatórias foram realizadas de acordo com o modelo adaptado por Griffing (1956), que estima os efeitos da capacidade geral de combinação CGC de cada parental e os efeitos da capacidade específica de combinação CEC. Verificou-se ampla variabilidade entre os genitores para as variáveis analisadas. Os genitores que apresentaram as melhores estimativas de CGC e com maior número de alelos favoraveis para as principais características estudadas foram BRS 286, CNPA 5M e CNPA 7MH, enquanto que para CEC, os híbridos BRS 286 X CNPA 5M, BRS RUBI X CNPA 5M e BRS 286 X BRS SERIDO destacaram-se por demonstrar melhores estimativas de CEC e complementaridade para ALT e PROD em condições de estresse hídrico. As estimativas de CGC e CEC ofereceram contribuições valiosas no processo de seleção no melhoramento genético, tanto de genitores como de combinações hibridas.

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2017-01-18T13:55:45Z No. of bitstreams: 2 Dissertação - Alexandre Lopes Pimentel - 2001.pdf: 2600476 bytes, checksum: 34c037bb591d8dbf3b4ea3bf4da41be6 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-01-18T13:56:01Z (GMT) No. of bitstreams: 2 Dissertação - Alexandre Lopes Pimentel - 2001.pdf: 2600476 bytes, checksum: 34c037bb591d8dbf3b4ea3bf4da41be6 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-01-18T13:56:01Z (GMT). No. of bitstreams: 2 Dissertação - Alexandre Lopes Pimentel - 2001.pdf: 2600476 bytes, checksum: 34c037bb591d8dbf3b4ea3bf4da41be6 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2001-08-30 / The main objective of this work is to compare different testes to evaluate for combining ability a group of unselected lines. Twenty eight lines from the CMS 04C population and six testers were used. The testers were the BR105 population, three imbreed lines from the BR105, one single cross proceeding from crossing of two of the used lines as testers and the EMGOPA 501 population. Because of the limited amounts of seeds, the topcrosses of the 20 from the 28 lines were evaluated in two places. The incomplete block design with two common treatments and three replicates were used for the topcrosses evaluation. The trials were installed in 2000/01 season, in the experimental stations of the Planagri company, in Goianésia-Goiás, and at the Escola de Agronomia of Universidade Federal de Goiás, in Goiânia-Goiás.The diallel analysis followed the model of Griffing (1956), adapted by Geraldi & Miranda Filho (1988). The correlations of Spearman, percentage of coincidence based in selection intensity and the variances between topcrosses were used, to compare the testers. It wasn’t observed consistency of the lines rank among the testers and not even for each tester between the two places. The results were different for each place. In Goianésia, the BR105 population, that got greater estimative of General Combining Ability, was the most convenient tester to discriminate the lines. However, in Goiânia, the EMGOPA 501 population, that got the lowest estimative of General Combining Ability, was the most convenient tester to evaluate the lines. In the combined analysis of the two places, the EMGOPA was only able to discriminate the lines. Some lines were superior in hybrid combining and some crossings will have to be evaluated in other environments to confirm its good performance. / Esse trabalho teve como objetivo principal comparar diferentes testadores para avaliar um grupo de linhagens não selecionadas. Foram utilizadas 28 linhagens provenientes da população CMS04C e seis testadores. Os testadores utilizados foram a população BR105, três linhagens endogâmicas provenientes da população BR105, um híbrido simples obtido pelo cruzamento de duas das linhagens usadas como testadores e a população EMGOPA 501. Devido às quantidades de sementes obtidas, somente os “topcrosses” de 20 das 28 linhagens puderam ser avaliados em dois locai. Foi utilizado o delineamento de blocos incompletos com dois tratamentos comuns e três repetições para as avaliações dos “topcrosses”. Os ensaios foram instalados na safra 2000/01, nas estações experimentais da empresa Planagri S.A., em Goianésia-GO, e da Escola de Agronomia da Universidade Federal de Goiás, em Goiânia-GO. A análise dialélica seguiu o modelo de Griffing (1956), adaptado por Geraldi & Miranda Filho (1988). Foram utilizadas as correlações de Spearman, porcentagem de coincidência em função da intensidade de seleção e as variâncias entre “topcrosses”, para comparar os testadores. Em geral, não houve consistência das classificações das linhagens entre os testadores e nem mesmo para cada testador entre os dois locais. Os resultados obtidos foram diferentes para os dois locais. Em Goianésia, a população BR105, que obteve a maior estimativa de CGC, foi o testador mais adequado para discriminar as linhagens. Já em Goiânia, foi a população EMGOPA 501, que obteve a menor estimativa de CGC, o testador mais indicado para avalia-las. Na análise conjunta dos dois locais, somente a população EMGOPA 501 foi capaz de discriminar as linhagens. Algumas linhagens que se destacaram em combinações híbridas e alguns cruzamentos deverão ser avaliados em outros ambientes para confirmar o seu bom desempenho.

<p>Poznavanje genetičke divergentnosti predstavlja osnovni preduslov uspe&scaron;nog oplemenjivačkog programa. Pored poznavanja genetičke divergentnosti, u proizvodnji hibrida &scaron;ećerne repe je od izuzetne važnosti i poznavanje kombinacionih sposobnosti oplemenjivačkog materijala. Svako ukr&scaron;tanje inbred linija nema uvek za posledicu pojavu heterozisa, pa je stoga neophodno ispitati op&scaron;te i posebne kombinacione sposobnosti onih linija koje se planiraju koristiti kao roditeljske komponente hibrida. U ovom istraživanju ispitivane su kombinacione sposobnosti multigermnih opra&scaron;ivača, razvijenih u okviru četiri različita oplemenjivačka programa: programa oplemenjivanja &scaron;ećerne repe Instituta za ratarstvo i povrtarstvo, Novi Sad, i tri programa oplemenjivanja &scaron;ećerne repe istraživačkih stanica Ministarstva poljoprivrede SAD (Michigan, Salinas i Fort Collins). Opra&scaron;ivači su se razlikovali u stepenu homozigotnosti u zavisnosti od prisustva gena autofertilnosti, odnosno autosterilnosti. Kao testeri kori&scaron;ćene su dve citoplazmatski sterilne linije Instituta za ratarstvo i povrtarstvo, Novi Sad. Pored određivanja genetičke divergentnosti i kombinacionih sposobnosti cilj ovog istraživanja je bio utvrđivanje vrednosti kvantitativnih svojstava za najvažnija svojstva korena: masu korena, sadržaj &scaron;ećera, sadržaj suve materije, masu glave korena, obim korena, procenat iskori&scaron;ćenja, prinos kristalnog &scaron;ećera i na osnovu njih određivanje genetičke divergentnosti ispitivanih opra&scaron;ivača. Takođe na osnovu dobijenih vrednosti određen je efekat gena i način nasleđivanja za ispitivana kvantitativna svojstva.Opra&scaron;ivač FC220 se izdvojio kao potencijalno stabilan kombinator u<br />iii<br />obe godine istraživanja, beležeći pozitivne vrednosti op&scaron;tih kombinacionih sposobnosti za sva ispitivana svojstva. Sa druge strane opra&scaron;ivač EL53 je u obe godine istraživanja beležio negativne vrednosti op&scaron;tih kombinacionih sposobnosti za sva ispitivana svojstva. U pogledu načina nasleđivanja mase korena, obima korena i prinosa kristalnog &scaron;ećera superiornost su pokazali autofertilni polinatori u odnosu na populacije slobodne oplodnje. Veći stepen homozigotnosti i uniformnost F1 generacije doveli su do ispoljavanja efekta heterozisa kod hibridnih kombinacija gde su roditelji bili autofertilni polinatori. Na osnovu načina grupisanja multigermnih opra&scaron;ivača u zbirnom klasteru, potvrđena je negativna korelacija između mase korena i sadržaja &scaron;ećera. U okviru jedne grupe su se na&scaron;li opra&scaron;ivači sa velikom masom korena i nižim sadržajem &scaron;ećera, a u drugoj grupi sa malom masom korena i vi&scaron;im sadržajem &scaron;ećera. Analizom međusobnih odnosa multigermnih opra&scaron;ivača &scaron;ećerne repe pomoću SSR markera konstruisan je dendrogram u kome su opra&scaron;ivači podeljeni u četiri grupe, shodno centrima porekla iz kojih su dobijeni. Između genetičke udaljenosti određene pomoću podataka dobijenih SSR markerima i posebnih kombinacionih sposobnosti nisu ustanovljene korelacije.<br />Datum prihvatanja</p> / <p>Information about genetic diversity is basic requirement of every successful breeding program. Beside information about genetic diversity for development of sugar beet hybrids it is very important to know combining abilities of breeding material. Since not all crosses result with appearance of heterosis, it is necessary to test general and specific combining abilities of potential parental lines. In this research were used multigerm pollinators from four different breeding programs: sugar beet breeding program of Institute of Field and Vegetable Crops, Novi Sad, and three programs from different breeding station of the US Department of Agriculture (Michigan, Salinas and Fort Collins). Pollinators differed in the degree of homozygosity, depending on the presence of genes for autofertility or sterility. Testers used in this work were two cytoplasmic sterile lines of the Institute of Field and Vegetable Crops, Novi Sad. In addition to determining the genetic diversity and combining ability, objective of this study was to determine values of quantitative traits for sugar beet root traits: root weight, sugar content, dry matter content, root head weight, root circumference, extractable sugar content, crystal sugar yield and from them a genetic diversity of pollinators. Also on the basis of the obtained values it was determined gene effect and mode of inheritance of studied<br />vi<br />quantitative traits. Pollinator FC220 segregated as a potentially stable combiner, in both years, having positive values of general combining abilities for all traits. On the other hand pollinator EL53 in both years had negative values of general combining abilities for all traits. In terms of the mode of inheritance for root weight, root circumference and crystal sugar yield self-fertile pollinators showed superiority comparing to the population of open pollination. A higher level of homozygosity and uniformity of the F1 generation resulted in the expression of heterosis in hybrid combinations where the parents were self-fertile pollinators. Multigerm pollinators in aggregate cluster confirmed the negative correlation between root weight and sugar content. In one group were found pollinators with a large root mass and lower sugar content, while in the second group were pollinators with a small root mass and higher sugar content. Cluster analysis of multigerm sugar beet pollinators using SSR markers resulted in construction of dendrogram in which pollinators were divided into four groups, according to the centers of origin from which they were obtained. There was no correlation between genetic distance calculated from the data obtained by SSR markers and specific combining ability.</p>

The present work develops several methodologies for solving engineering analysis and design problems involving uncertainties and evidences from multiple sources. The influence of uncertainties on the safety/failure of the system and on the warranty costs (to the manufacturer) are also investigated. Both single and multiple objective optimization problems are considered. A methodology is developed to combine the evidences available from single or multiple sources in the presence (or absence) of credibility information of the sources using modified Dempster Shafer Theory (DST) and Fuzzy Theory in the design of uncertain engineering systems. To optimally design a system, multiple objectives, such as to maximize the belief for the overall safety of the system, minimize the deflection, maximize the natural frequency and minimize the weight of an engineering structure under both deterministic and uncertain parameters, and subjected to multiple constraints are considered. We also study the various combination rules like Dempster's rule, Yager's rule, Inagaki's extreme rule, Zhang's center combination rule and Murphy's average combination rule for combining evidences from multiple sources. These rules are compared and a selection procedure was developed to assist the analyst in selecting the most suitable combination rule to combine various evidences obtained from multiple sources based on the nature of evidence sets. A weighted Dempster Shafer theory for interval-valued data (WDSTI) and weighted fuzzy theory for intervals (WFTI) were proposed for combining evidence when different credibilities are associated with the various sources of evidence. For solving optimization problems which cannot be solved using traditional gradient-based methods (such as those involving nonconvex functions and discontinuities), a modified Particle Swarm Optimization (PSO) algorithm is developed to include dynamic maximum velocity function and bounce method to solve both deterministic multi-objective problems and uncertain multi-objective problems (vertex method is used in addition to the modified PSO algorithm for uncertain parameters). A modified game theory approach (MGT) is coupled with the modified PSO algorithm to solve multi-objective optimization problems. In case of problems with multiple evidences, belief is calculated for a safe design (satisfying all constraints) using the vertex method and the modified PSO algorithm is used to solve the multi-objective optimization problems. The multiobjective problem related to the design of a composite laminate simply supported beam with center load is also considered to minimize the weight and maximize buckling load using modified game theory. A comparison of different warranty policies for both repairable and non repairable products and an automobile warranty optimization problem is considered to minimize the total warranty cost of the automobile with a constraint on the total failure probability of the system. To illustrate the methodologies presented in this work, several numerical design examples are solved. We finally present the conclusions along with a brief discussion of the future scope of the research.

High data rate applications are the trend in today's wireless technology. W-CDMA standard was designed to support such high data rates of up to 3.84 Mcps. The main purpose of this research was to analyze the feasibility of a fixed-point implementation of the W-CDMA downlink receiver algorithm on a general-purpose digital signal processor (StarCore SC140 by Motorola). The very large instruction word architecture of SC140 core is utilized to generate optimal implementation, to meet the real time timing requirements of the algorithm. The other main aim of this work was to study and evaluate the performance of the W-CDMA downlink structure with incorporated space-time transmit diversity. The effect of the channel estimation algorithm used was extensively studied too.

Adaptive modulation and diversity combining represent very important adaptive solutions for future generations of wireless communication systems. Indeed, to improve the performance and the efficiency of these systems, these two techniques recently have been used jointly in new schemes named joint adaptive modulation and diversity combining (JAMDC) schemes. Considering the problem of finding lowcomplexity, bandwidth-efficient, and processing-power efficient transmission schemes for a downlink scenario and capitalizing on some of these recently proposed JAMDC schemes, we propose and analyze three fully joint adaptive modulation, diversity combining, and power control (FJAMDC) schemes. More specifically, the modulation constellation size, the number of combined diversity paths, and the needed power level are determined jointly to achieve the highest spectral efficiency with the lowest possible combining complexity, given the fading channel conditions and the required bit error rate (BER) performance. The performance of these three FJAMDC schemes is analyzed in terms of their spectral efficiency, processing power consumption, and error-rate performance. Selected numerical examples show that these schemes considerably increase the spectral efficiency of the existing JAMDC schemes with a slight increase in the average number of combined paths for the low signal to noise ratio range while maintaining compliance with the BER performance and a low radiated power resulting in a substantial decrease in interference to co-existing systems/users.

Gait analysis is the process of collecting and analyzing quantitative information about walking patterns of the people. Gait analysis enables the clinicians to differentiate gait deviations objectively. Diagnostic decision making from gait data only requires high level of medical expertise of neuromusculoskeletal system trained for the purpose. An automated system is expected to decrease this requirement by a &lsquo / transformed knowledge&rsquo / of these experts. This study presents a clinical decision support system for the detecting and scoring of a knee disorder, namely, Osteoarthritis (OA). Data used for training and recognition is mainly obtained through Computerized Gait Analysis software. Sociodemographic and disease characteristics such as age, body mass index and pain level are also included in decision making. Subjects are allocated into four OA-severity categories, formed in accordance with the Kellgren-Lawrence scale: &ldquo / Normal&rdquo / , &ldquo / Mild&rdquo / , &ldquo / Moderate&rdquo / , and &ldquo / Severe&rdquo / . Different types of classifiers are combined to incorporate the different types of data and to make the best advantages of different classifiers for better accuracy. A decision tree is developed with Multilayer Perceptrons (MLP) at the leaves. This gives an opportunity to use neural networks to extract hidden (i.e., implicit) knowledge in gait measurements and use it back into the explicit form of the decision trees for reasoning. Individual feature selection is applied using the Mahalanobis Distance measure and most discriminatory features are used for each expert MLP. Significant knowledge about clinical recognition of the OA is derived by feature selection process. The final system is tested with test set and a success rate of about 80% is achieved on the average.

This dissertation presents a Bayesian hierarchical model to combine two-resolution metrology data for inspecting the geometric quality of manufactured parts. The high- resolution data points are scarce, and thus scatter over the surface being measured, while the low-resolution data are pervasive, but less accurate or less precise. Combining the two datasets could supposedly make a better prediction of the geometric surface of a manufactured part than using a single dataset. One challenge in combining the metrology datasets is the misalignment which exists between the low- and high-resolution data points. This dissertation attempts to provide a Bayesian hierarchical model that can handle such misaligned datasets, and includes the following components: (a) a Gaussian process for modeling metrology data at the low-resolution level; (b) a heuristic matching and alignment method that produces a pool of candidate matches and transformations between the two datasets; (c) a linkage model, conditioned on a given match and its associated transformation, that connects a high-resolution data point to a set of low-resolution data points in its neighborhood and makes a combined prediction; and finally (d) Bayesian model averaging of the predictive models in (c) over the pool of candidate matches found in (b). This Bayesian model averaging procedure assigns weights to different matches according to how much they support the observed data, and then produces the final combined prediction of the surface based on the data of both resolutions. The proposed method improves upon the methods of using a single dataset as well as a combined prediction without addressing the misalignment problem. This dissertation demonstrates the improvements over alternative methods using both simulated data and the datasets from a milled sine-wave part, measured by two coordinate measuring machines of different resolutions, respectively.

As resources are limited, radio spectrum becomes congested due to the growth of wireless applications. However, measurements address the fact that most of the licensed spectrums experience low utilization even in intensively teeming areas. In the exertion to improve the utilization of the limited spectrum resources, cognitive radio networks have emerged as a powerful technique to resolve this problem. There are two types of user in cognitive radio networks (CRNs) named as primary user (PU) and secondary user (SU). Therein, the CRN enables the SU to utilize the unused licensed frequency of the PU if it possibly finds the vacant spectrum or white space (known as opportunistic spectrum access). Alternatively, SU can transmit simultaneously with the PU provided that transmission power of SU does not cause any harmful interference to the PU (known as spectrum sharing systems). In this thesis work, we study fundamental knowledge of the CRNs and focus on the performance analysis of the single input multiple output (SIMO) system for spectrum sharing approach. We assume that a secondary transmitter (SU-Tx) has full channel state information (CSI). The SU-Tx can adjust its transmit power not to cause harmful interference to the PU and obtain an optimal transmit rate. In particular, we derive the closed-form expressions for the cumulative distribution function (CDF), outage probability and an analytical expression for symbol error probability (SEP). / As resources are limited, radio spectrum becomes congested due to the growth of wireless applications. However, measurements address the fact that most of the licensed spectrums experience low utilization even in intensively teeming areas. In the exertion to improve the utilization of the limited spectrum resources, cognitive radio networks have emerged as a powerful technique to resolve this problem. There are two types of user in cognitive radio networks (CRNs) named as primary user (PU) and secondary user (SU). Therein, the CRN enables the SU to utilize the unused licensed frequency of the PU if it possibly finds the vacant spectrum or white space (known as opportunistic spectrum access). Alternatively, SU can transmit simultaneously with the PU provided that transmission power of SU does not cause any harmful interference to the PU (known as spectrum sharing systems). In this thesis work, we study fundamental knowledge of the CRNs and focus on the performance analysis of the single input multiple output (SIMO) system for spectrum sharing approach. We assume that a secondary transmitter (SU-Tx) has full channel state information (CSI). The SU-Tx can adjust its transmit power not to cause harmful interference to the PU and obtain an optimal transmit rate. In particular, we derive the closed-form expressions for the cumulative distribution function (CDF), outage probability and an analytical expression for symbol error probability (SEP). / Iqbal Hasan Haider, cell: +46704571807 MD. Fazla Rabby, cell: +46734965477

Αντικείμενο αυτής της διπλωματικής εργασίας είναι η διερεύνηση των τεχνικών διαφορισμού στους ψηφιακούς δέκτες των σύγχρονων ασύρματων δικτύων. / Purpose of this paper is the examination of combining techniques at digital receivers of modern wireless networks.