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
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
RFSIM99小型RF仿真软件，用于电路仿真、阻抗匹配、滤波器设计、参数计算等。
标签： RF
上传时间： 2016-04-12
上传用户：Jerrysivan
通过构造基于0FDM技术的基带无线通信系统的仿真模型，研究了0FDM技术在瑞利多径衰落信道下的性能。仿真结果表明采用OFDM技术在瑞利多径衰落信道下具有良好的抗多径干扰的性能，插入合适的循环前缀(保护间隔)有效地减少了系统的符号间干扰。今后可进一步加入RF调制解调的仿真，研究频偏对0FDM子载波之间干扰的影响。
上传时间： 2016-06-05
上传用户：mengmeng
专业的功放外国书籍。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。
标签： Communications Amplifiers Wireless Power for RF
上传时间： 2016-08-29
上传用户：cquliruoyu
Lora RFM95驱动， SX1276 与SX1278扩频芯片的区别- 天线|RF射频|微波|雷达技术
上传时间： 2016-11-28
上传用户：bomisme
#define RF_CHANNEL 25 // 2.4 GHz RF channel // BasicRF address definitions µØÖ·¶¨Òå #define PAN_ID 0x2007 #define TX_ADDR 0xBEEF #define RX_ADDR 0x2520 // transmit data ´«ÊäÊý¾Ý #define APP_PAYLOAD_LENGTH 1 //Ó¦ÓóÌÐò¸ºÔس¤¶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
上传时间： 2017-02-28
上传用户：DoubleM
在 USB 设计中，时钟频率提供了主要的信号源。USB 差分 DP/DM 对可工作于 480Mbps的高速模式，系统时钟可工作于 12 MHz、48 MHz 及 60 MHz。由于 USB 电缆扮演了单极天线的角色，因此必须小心设计以防止 RF 电流耦合至缆线上。
上传时间： 2017-05-21
上传用户：ternel
RF射频检查，pcb问题确认与排查，RF射频检查，pcb问题确认与排查，
上传时间： 2018-12-29
上传用户：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
上传时间： 2019-04-21
上传用户：danyun
可以参考一下，不用修改直接可以使用，购买几个RF模块即可。
上传时间： 2019-05-22
上传用户：k1k1kevin
