Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
RFSIM99小型RF仿真軟件，用于電路仿真、阻抗匹配、濾波器設計、參數計算等。
標簽： RF
上傳時間： 2016-04-12
上傳用戶：Jerrysivan
通過構造基于0FDM技術的基帶無線通信系統的仿真模型，研究了0FDM技術在瑞利多徑衰落信道下的性能。仿真結果表明采用OFDM技術在瑞利多徑衰落信道下具有良好的抗多徑干擾的性能，插入合適的循環前綴(保護間隔)有效地減少了系統的符號間干擾。今后可進一步加入RF調制解調的仿真，研究頻偏對0FDM子載波之間干擾的影響。
上傳時間： 2016-06-05
上傳用戶：mengmeng
專業的功放外國書籍。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。
標簽： Communications Amplifiers Wireless Power for RF
上傳時間： 2016-08-29
上傳用戶：cquliruoyu
Lora RFM95驅動， SX1276 與SX1278擴頻芯片的區別- 天線|RF射頻|微波|雷達技術
上傳時間： 2016-11-28
上傳用戶：bomisme
#define RF_CHANNEL 25 // 2.4 GHz RF channel // BasicRF address definitions μ??·?¨ò? #define PAN_ID 0x2007 #define TX_ADDR 0xBEEF #define RX_ADDR 0x2520 // transmit data ′?ê?êy?Y #define APP_PAYLOAD_LENGTH 1 //ó|ó?3ìDò?o??3¤?è #define MAX_PAYLOAD_LENGTH 104 #define PACKET_SIZE sizeof(perTestPacket_t) #define RSSI_AVG_WINDOW_SIZE 32 // Window size for RSSI moving average // Burst Sizes #define BURST_SIZE_1 1000 #define BURST_SIZE_2 10000 #define BURST_SIZE_3 100000 #define BURST_SIZE_4 1000000
上傳時間： 2017-02-28
上傳用戶：DoubleM
在 USB 設計中，時鐘頻率提供了主要的信號源。USB 差分 DP/DM 對可工作于 480Mbps的高速模式，系統時鐘可工作于 12 MHz、48 MHz 及 60 MHz。由于 USB 電纜扮演了單極天線的角色，因此必須小心設計以防止 RF 電流耦合至纜線上。
上傳時間： 2017-05-21
上傳用戶：ternel
RF射頻檢查，pcb問題確認與排查，RF射頻檢查，pcb問題確認與排查，
上傳時間： 2018-12-29
上傳用戶：aokema124
This book provides an overview of recent innovations and achievements in the broad areas of cyber-physical systems (CPS), including architecture, networking, systems, applications, security, and privacy. The book discusses various new CPS technologies from diverse aspects to enable higher level of innovation towards intelligent life. The book provides insight to the future integration, coordination and interaction between the physical world, the information world, and human beings. The book features contributions from renowned researchers and engineers, who discuss key issues from various perspectives, presenting opinions and recent CPS-related achievements.Investigates how to advance the development of cyber-physical systems Provides a joint consideration of other newly emerged technologies and concepts in relation to CPS like cloud computing, big data, fog computing, and crowd sourcing Includes topics related to CPS such as architecture, system, networking, application, algorithm, security and privacy
上傳時間： 2019-04-21
上傳用戶：danyun
可以參考一下，不用修改直接可以使用，購買幾個RF模塊即可。
上傳時間： 2019-05-22
上傳用戶：k1k1kevin
