【本周刷卡優惠】PRINCIPLES OF COMMUNICATION SYSTEMS SIMULATION WITH WIRELESS APPLICATIONS鄉民秒殺
前兩天在誠品書局看到這本 【本周刷卡優惠】PRINCIPLES OF COMMUNICATION SYSTEMS SIMULATION WITH WIRELESS APPLICATIONS鄉民秒殺，
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【本周刷卡優惠】PRINCIPLES OF COMMUNICATION SYSTEMS SIMULATION WITH WIRELESS APPLICATIONS鄉民秒殺推薦好書必買
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商品訊息描述: 特價商品便宜團購最近流行商品 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 Gaussian 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. 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.
商品熱銷商品優惠專區>2019流行產品搶購比價經典產品
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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【本周刷卡優惠】PRINCIPLES OF COMMUNICATION SYSTEMS SIMULATION WITH WIRELESS APPLICATIONS鄉民秒殺 討論,推薦,開箱,CP值,熱賣,團購,便宜,優惠,介紹,排行,精選,特價,周年慶,體驗,限時
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6成自殺憾事 輕生前7天曾就醫 | 生活新聞 | 生活 | 聯合新聞網
據研究顯示，自殺死亡者在自殺身亡前7天內不限精神科別就醫的比例皆在60省錢方法網路熱銷商品%左右。圖／聯合報系資料照片 分享 facebook 研究發現，自殺身亡者高達6成以上，在決定自殺前7天曾赴醫院就診，就診科別不限精神科；其中65歲以上老人，決定自殺前1個月內，赴醫院診所就診的比率將近9成。專家呼籲，若能在醫療第一線能設下防線，也許能阻擋更多憾事發生。國內自殺死亡率逐年攀升，根據衛福部公布106年的國人死因，自殺身亡名列第11位，自殺死亡人數與105年相比增加16.4％，男性多於女性。. } }); } 研究發現，自殺身亡者多達6成以上，於輕生前7天曾赴醫院就診。台灣自殺防治學會理事吳佳儀說，面對久病厭世、長流行購買期照顧他人禮物網路購物的照顧者，長期心理不適，而導致生理出現類似生病的反應，比率相當高。吳佳儀說，曾66歲男子，因妻子罹癌，他因照顧壓力而失眠，求助醫師，定期服用藥物改善症狀。但幾年後，妻子過世，他受不了壓力，加上並未規律服藥，讓他再度失眠。心理影響生理不適，讓他動了輕生念頭；某天兒媳返家，撞見李姓男子意圖輕生，即時挽救才沒有發生憾事。吳佳儀說，許多意圖輕生高風險族群，若第一線醫療人員能主動建立關係並評估狀況，及時轉介精神衛生門診，有助於降低憾事發生。衛福部心口司司長諶立中指出，我國20年前開始提倡家醫科醫師及開業醫師納入自殺防治範疇，民國9最近流行商品產品0年左右自殺率高峰，醫界普遍警覺性高。但隨著國內自殺率下降，相關觀念開始被忽視。吳佳儀呼籲，自殺防治不僅是精神科醫師的責任，所有第一線醫療人員都是守門人，掌握「1問2應3轉介」主動關懷傾聽、適當回應支持及轉介精神衛生專業。 自殺，不能解決難題；求助，才是最好的路。求救請打1995 ( 要救救我 )
方便老人吞嚥食物 營養師比拚廚藝
高齡者主題套餐大賞19日舉辦決賽，最後由台大營養師團隊的作品勝出。（photo by張朝瑋/台灣醒報） 分享 facebook 為做出方便老人吞嚥的食物，各醫院的營養師拼了！台北市營養師公會19日舉辦高齡者主題套餐大賞決賽。各醫院的營養師團隊無不攪盡腦汁比拼廚藝。比賽最後由台大醫院團隊的作品獲得首獎。但評審提醒，各醫院團隊雖然實力相當，但為呈現最好成果，無形中也犯下不少基本錯誤，希望營養師們能多加注意。台大花仙子主辦單位表示，隨著台灣進入高齡化社會，高齡者吞嚥困難的問題也越來越常見，舉辦比賽的目的，是希望各醫院營養師能多加注意這個問題，並讓老人們能吃到更美味的食物。而此次比賽標準採IDDSI國際吞嚥障礙食物標準中的「軟質/一口大小」為比賽主旨，希望讓老人家不再只有鹹粥可吃。. } }); } 此次比賽由台大醫院的營養師團隊獲得首獎，台大團隊表示，此次參賽作品以「花仙子」作為主題，將春天的櫻花、夏天的蓮子、秋天的菊花以及冬天的梅子，融入各道菜色中。而為了兼顧每道菜的口感、質地及易消化性，團隊也在烹煮上下了十足功夫，如米飯中混有香菇，廚師必須將香菇切得十分細碎，方便讓老人家消化。而作為甜點的果凍，團隊也選擇使用寒天粉而非吉利丁，以避免噎到。食材處理不夠細膩評審之一的長庚科技大學教授邱麗玲表示，此次比賽各醫院代表團實力都非常接近，也因此讓評審花上比預期還久的時間才評出結果。但她認為，這次比賽各組有幾個通病，一是各組為呈出最好表現，不知不覺中留下大量廚餘，日後若真的要烹煮給高齡者吃，並不符合成本效益。再來是食材處理上，多組團隊在食材衛生的注意上並不夠細膩，烹煮手法也多為使用切團購周年慶碎等方式，卻沒想到利用鳳梨、蘋果等果汁這類可增加味道層次、又可軟化食物、方便吞嚥的手法，她希望各團隊能再接再厲，下次比賽能呈現出更好的作品。【更多精采內容，詳見】
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