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【好康】PRINCIPLES OF COMMUNICATION SYSTEMS SIMULATION WITH WIRELESS APPLICATIONS~必看好書推薦好書必買
商品訊息功能:
商品訊息描述: 折價卷 This book presents a comprehensive overview of computer-based simulation models and methodologies for communication systems. Because such models are a useful and necessary tool in the design, analysis, and performance of communication systems as well as a means of evaluating design changes in these systems, Computer Aided Design and Analysis of Communication Systems with Wireless Applications uses MATLAB as a basis for developing effective computer-based simulations. Such simulations are intended to capture the essential features of the system to assure accurate results while minimizing the complexity of the model, ensuring execution of the simulation code in a reasonable amount of time. Among the fundamental topics covered are probability, random, process, and estimation theory and their roles in the design of computer-based simulations.Preface.I. INTRODUCTION. 1. The Role of Simulation. Examples of Complexity. Multidisciplinary Aspects of Simulation. Models. Deterministic and Stochastic Simulations. The Role of Simulation. Software Packages for Simulation. A Word of Warning. The Use of MATLAB. Outline of the Book. Further Reading. 2. Simulation Methodology. Introduction. Aspects of Methodology. Performance Estimation. Summary. Further Reading. Problems. II. FUNDAMENTAL CONCEPTS AND TECHNIQUES. 3. Sampling and Quantizing. Sampling. Quantizing. Reconstruction and Interpolation. The Simulation Sampling Frequency. Summary. Further Reading. References. Problems. 4. Lowpass Simulation Models for Bandpass Signals and Systems. The Lowpass Complex Envelope for Bandpass Signals. Linear Bandpass Systems. Multicarrier Signals. Nonlinear and Time-Varying Systems. Summary. Further Reading. References. Problems. Appendix A: MATLAB Program QAMDEMO. Appendix B: Proof of Input-Output Relationship. 5. Filter Models and Simulation Techniques. Introduction. IIR and FIR Filters. IIR and FIR Filter Implementations. IIR Filters: Synthesis Techniques and Filter Characteristics. FIR Filters: Synthesis Techniques and Filter Characteristics. Summary. Further Reading. References. Problems. Appendix A: Raised Cosine Pulse Example. Appendix B: Square Root Raised Cosine Pulse Example. Appendix C: MATLAB Code and Data for Example 5.11. 6. Case Study: Phase-Locked Loops and Differential Equation Methods. Basic Phase-Locked Loop Concepts. First-Order and Second-Order Loops. Case Study: Simulating the PLL. Solving Differential Equations Using Simulation. Summary. Further Reading. References. Problems. Appendix A: PLL Simulation Program. Appendix B: Preprocessor for PLL Example Simulation. Appendix C: PLL Postprocessor. Appendix D: MATLAB Code for Example 6.3. 7. Generating and Processing Random Signals. Stationary and Ergodic Processes. Uniform Random Number Generators. Mapping Uniform RVs to an Arbitrary pdf. Generating Uncorrelated Gaussian Random Numbers. Generating Correlated Gau發燒好康ssian Random Numbers. Establishing a pdf and a PSD. PN Sequence Generators. Signal Processing. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 7.11. Main Program: c7 Jakes.m. 8. Postprocessing. Basic Graphical Techniques. Estimation. Coding. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 8.1. 9. Introduction to Monte Carlo Methods. Fundamental Concepts. Application to Communications Systems—The AWGN Channel. Monte Carlo Integration. Summary. Further Reading. References. Problems. 10. Monte Carlo Simulation of Communication Systems. Two Monte Carlo Examples. Semianalytic Techniques. Summary. References. Problems. Appendix A: Simulation Code for Example 10.1. Appendix B: Simulation Code for Example 10.2. Appendix C: Simulation Code for Example 10.3. Appendix D: Simulation Code for Example 10.4. 11. Methodology for Simulating a Wireless System. System-Level Simplifications and Sampling Rate Considerations.最近流行產品 Overall Methodology. Summary. Further Reading. References. Problems. III. ADVANCED MODELS AND SIMULATION TECHNIQUES. 12. Modeling and Simulation of Nonlinearities. Introduction. Modeling and Simulation of Memoryless Nonlinearities. Modeling and Simulation of Nonlinearities with Memory. Techniques for Solving Nonlinear Differential Equations. PLL Example. Summary. Further Reading. References. Problems. Appendix A: Saleh's Model. Appendix B: MATLAB Code for Example 12.2. 13. Modeling and Simulation of Time-Varying Systems. Introduction. Models for LTV Systems. Random Process Models. Simulation Models for LTV Systems. MATLAB Examples. Summary. Further Reading. References. Problems. Appendix A: Code for MATLAB Example 1. Appendix B: Code for MATLAB Example 2. 14. Modeling and Simulation of Waveform Channels. Introduction. Wired and Guided Wave Channels. Radio Channels. Multipath Fading Channels. Modeling Multipath Fading Channels. Random Process Models. Simulation Methodology. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 14.1. Appendix B: MATLAB Code for Example 14.2. 15. Discrete Channel Models. Introduction. Discrete Memoryless Channel Models. Markov Models for Discrete Channels with Memory. Example HMMs—Gilbert and Fritchman Models. Estimation of Markov Model Parameters. Two Examples. Summary. Further Reading. References. Problems. Appendix A: Error Vector Generation. Appendix B: The Baum-Welch Algorithm. Appendix C: The Semi-Hidden Markov Model. Appendix D: Run-Length Code Generation. Appendix E: Determination of Error-Free Distribution. 16. Efficient Simulation Techniques. Tail Extrapolation. pdf Estimators. Importance Sampling. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 16.3. 17. Case Study: Simulation of a Cellular Radio System. Introduction. Cellular Radio System. Simulation Methodology. Summary. Further Reading. References. Problems. Appendix A: Program for Generating the Erlang B Chart. Appendix B: Initialization Code for Simulation. Appendix C: Modeling Co-Channel Interference. Appendix D: MATLAB Code for Wilkinson's Method. 18. Two Example Simulations. A Code-Division Multiple Access System. FDM System with a Nonlinear Satellite Transponder. References. Appendix A: MATLAB Code for CDMA Example. Appendix B: Preprocessors for CDMA Application. Appendix C: MATLAB Function c18 errvector.m. Appendix D: MATLAB Code for Satellite FDM Example. Index. About The Authors.
產品僅此一檔省錢大作戰活動商品>流行最新出版送禮推薦
商品訊息簡述:
作者: TRANTER, SHANMUGAN, RAPPAPORT, KOSBAR
新功能介紹- 出版社:全華圖書
新功能介紹 - 出版日期:2004/01/15
- 語言:英文
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韓國瑜對2020態度曖昧 黃光芹轟:大內高手宮心計
資深媒體人黃光芹日前在電台節目專訪高雄市長韓國瑜時提及是否選總統議題,因雙方認知不同,導致黃光芹遭大批韓粉圍剿甚至恐嚇傷害她的丈夫、兒子,讓黃光芹氣得提告並辭去電台主持工作。黃光芹 22 日發文跟同事道別,但在回應網友留言時,再批韓國瑜「大內高手宮心計,與其他老國民黨人,有何不同?」
黃光芹 22 日晚間在臉書發文向電台同事道別,網友們也留言為她打氣,其中一名網友提到「韓國瑜不是傳統的國民黨政客,他是跨越藍綠的,他能體見庶民百姓之苦,他有能力及包容之心讓台灣的社會走向更和諧而安定進步。」黃光芹回應時則點出許多對韓國瑜的疑慮。
黃光芹指出,韓國瑜是政客或政治家,得看他會不會把才經過的選舉推翻不算,「做幾個月就想漂走?在高雄打假球?」且韓國瑜對總統大選遲不表態,說話高來閃去,跟吳敦義唱和,搞宮廷政治,「等大轎來台,黃袍加身,破壞遊戲規則,把尚未上場的選手,場外做掉,大內高手宮心計,與其他老國民黨人,有何不同?」甚至手法還更推陳出新。
對於國民黨內要韓國瑜選總統的聲音不斷,黃光芹也直言,選高雄市長可以惡補,但選總統得拿出政策,韓國瑜能拿出什麼良方、願景救台灣?又要拿什麼拚經濟?「他連杜紫辰都說不過?難不成,只靠吳芳銘幫他賣水果、李四川幫他舖路?」
黃光芹認為,接不接地氣不是嘴上說說,得先接人氣,韓國瑜被支持者捧為神,但眼見惡韓粉威脅恐嚇他人,卻只在電視上敷衍兩句連個「母湯」都沒說。她也強調,真正的領導者是敢於開疆闢土、改變現況、創造新局的,韓國瑜每天受韓粉保護而樂在其中,卻整天抱怨執政黨穿小鞋,狠酸韓「小瞇小眼小家子氣」。
▲(圖/翻攝自黃光芹臉書, 2019.03.23)
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