multiple access techniques for wireless communication lecture notes
Multi-Carrier Technologies for Wireless Communication
... interestsinclude multiple access techniques, estimation theory, multi-user detectionand channel modeling.“I am extremely grateful to my parents for the sacrifices they have made and for imparting ... of wireless telecommunications, anumber of trends are gaining widespread popularity. Among these is theexplosion of interest in multi-carrier communications, and its application to wireless multiple- access. ... mobilesfrom TDMA (time division multiple access) to DS-CDMA (direct sequencecode division multiple access) to MC-CDMA to OFDM, while maintaining acommon hardware platform.In this chapter, we demonstrate...
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Multiple Access Protocols for Mobile Communications - GPRS, UMTS and Beyond
... 442.5.3 Wireless Local Area Network (WLAN) Standards 462.6 Summary 483 Multiple Access in Cellular Communication Systems 493.1 Multiple Access and the OSI Layers 493.2 Basic Multiple Access ... Protocol for Hybrid CDMA/TDMA 121.4.1 Why Combine CDMA and PRMA? 121.4.2 Hybrid CDMA/TDMA Multiple Access Schemes 141.4.3 Literature on Multiple Access Protocols for Packet CDMA 151.4.4 Access ... individual portions ofits resources to support multiple communications, basic multiple access techniques (suchas frequency-, time-, or code-division multiple access, with FDMA, TDMA, and CDMAas their...
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MEMS-based Circuits and Systems for Wireless Communication docx
... circuits. Fundamentals of microfabrication techniques employed for making AlN CMR are briefly introduced. Different methods for arraying these devices and form either electrically or mechanically ... increasingrecent interest in wireless applications [41–43] has generated new efforts tominiaturize and integrate the off-chip passives needed for filtering and frequencygeneration in communication circuits. ... thereforeenabling multiple frequencies of vibration on the same silicon chip and greatlyreducing manufacturing tolerances to film thicknesses.In general, the equivalent circuit representation for...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... data and performs classification only if attributes of record match one of the training examples exactly–Nearest neighborã Uses k closest points (nearest neighbors) for performing classification ... r ã Compare the rule set for r against the rule set for r* and r ã Choose rule set that minimizes MDL principle–Repeat rule generation and rule optimization for the remaining positive ... decision tree For each rule, r: A → y, –consider an alternative rule r’: A’ → y where A’ is obtained by removing one of the conjuncts in A–Compare the pessimistic error rate for r against...
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Tài liệu Lecture 14: The Theoretical Basis for Data Communication: pptx
... convenient measure for measuring the signal levels in Lecture 14.doc Page 5 (6) CSN200 Introduction to Telecommunications, Winter 2000 Lecture 14 Communication Basics Part-2 telecommunications ... telephone offices). Lecture 14.doc Page 6 (6) CSN200 Introduction to Telecommunications, Winter 2000 Lecture 14 Communication Basics Part-2 The Theoretical Basis for Data Communication: Frequency-domain ... Introduction to Telecommunications, Winter 2000 Lecture 14 Communication Basics Part-2 Addition of More Frequency Components: Lecture 14.doc Page 3 (6) CSN200 Introduction to Telecommunications,...
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Toán học quốc tế olympiad vol6 lecture notes on mathematical olympiad courses for junior section vol 1
... multiplication formulae: like those mentioned in Lecture 5. How-ever, contrary to Lecture 5, at present each formula is applied for con-verting an expression in non-product form to a new expression ... Olympiad Series — Vol. 6 LECTURE NOTES ON MATHEMATICAL OLYMPIAD COURSES For Junior SectionZhangJi - Lec Notes on Math's Olymp Courses.pmd 11/2/2009, 3:35 PM1 Lecture 6Some Methods of ... for x.(iii) Whena = 1 and b =512,the equation becomes 0 · x = 5 − 12b, so nosolution for x.Example 7. Given that the equation a(2x + 3) + 3bx = 12x + 5 has infinitelymany solutions for...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... product.Approach:ãUse the data for a similar product introduced before. ãWe know which customers decided to buy and which decided otherwise. This {buy, dont buy} decision forms the class attribute.ãCollect ... their context (e.g. Amazon rainforest, Amazon.com,) What is not Data Mining?– Look up phone number in phone directory – Query a Web search engine for information about “Amazon” © ... generating terabytes of dataTraditional techniques infeasible for raw dataData mining may help scientists –in classifying and segmenting data–in Hypothesis Formation © Tan,Steinbach, Kumar Introduction...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... information contained in one or more other attributes–Example: purchase price of a product and the amount of sales tax paid%–contain no information that is useful for ... Mining 44 Discretization Using Class LabelsEntropy based approach3 categories for both x and y 5 categories for both x and y © Tan,Steinbach, Kumar Introduction to Data Mining 49 Euclidean ... Data"–each record (transaction) involves a set of items. – For example, consider a grocery store. The set of products purchased by a customer during one shopping...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... Mining: Exploring Data Lecture Notes for Chapter 3Introduction to Data MiningbyTan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining 19 Visualization Techniques: Scatter ... Introduction to Data Mining 27 Parallel Coordinates Plots for Iris Data © Tan,Steinbach, Kumar Introduction to Data Mining 26 Visualization Techniques: Parallel CoordinatesParallel Coordinates ... pressure, etc.ãAn example for Sea Surface Temperature (SST) is provided on the next slide © Tan,Steinbach, Kumar Introduction to Data Mining 23 Visualization Techniques: Matrix PlotsMatrix...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... fast at classifying unknown records–Easy to interpret for small-sized trees–Accuracy is comparable to other classification techniques for many simple data sets © Tan,Steinbach, Kumar Introduction ... Kumar Introduction to Data Mining 37 Continuous Attributes: Computing Gini Index For efficient computation: for each attribute,–Sort the attribute on values–Linearly scan these values, each ... Introduction to Data Mining 35 Categorical Attributes: Computing Gini Index For each distinct value, gather counts for each class in the datasetUse the count matrix to make decisionsCarType{Sports,Luxury}{Family}C13...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... Methods for Frequent Itemset GenerationTraversal of Itemset Lattice–General-to-specific vs Specific-to-general Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for ... Database:Projected Database for node A: For each transaction T, projected transaction at node A is T ∩ E(A) © Tan,Steinbach, Kumar Introduction to Data Mining 48 Rule Generation for Apriori AlgorithmCandidate ... distribution of a retail data set © Tan,Steinbach, Kumar Introduction to Data Mining 43 ECLAT For each item, store a list of transaction ids (tids)TID Items1 A,B,E2 B,C,D3 C,E4 A,C,D5...
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