藍(lán)牙跳頻系統(tǒng)的simulink仿真程序（This is a MATLAB simulation (SIMULINK) for the hop selection scheme in Bluetooth. Since nearly the same scheme is used for 79 and 23-hop system. Only the 79-hop system in simulated in the CONNECTION state.）
標(biāo)簽： simulation Bluetooth selection simulink
上傳時(shí)間： 2013-12-19
上傳用戶：wanqunsheng
This simulation script set allows for an OFDM transmission to be simulated. Imagetx.m generates the OFDM signal, saving it as a windows WAV file. This allows the OFDM signal to be played out a sound card and recorded back. Imagerx.m decodes the WAV to extract the data. settings.m contains all the common settings to specify all the simulation parameters such as FFT size, number of carriers, input data source file, input and output WAV files, etc.
標(biāo)簽： transmission simulation generates simulated
上傳時(shí)間： 2013-12-15
上傳用戶：dyctj
A system simulation environment in Matlab/Simulink of RFID is constructed in this paper. Special attention is emphasized on the analog/RF circuit.Negative effects are concerned in the system model,such as phase noise of the local oscillator,TX-RX coupling,reflection of the environment, AWGN noise,DC offset,I/Q mismatch,etc.Performance of the whole system can be evaluated by changing the coding method,parameters of building blocks,and operation distance.Finally,some simulation results are presented in this paper.
標(biāo)簽： environment constructed simulation Simulink
上傳時(shí)間： 2014-01-09
上傳用戶：zhangliming420
2007年最新的多種路徑規(guī)劃算法的仿真軟件包。At the later releases more world models and sample planners will be distributed, for now only a few world models and controllers are uploaded within this package. Press Start to start the simulation. Enjoy :) A better tutorial will be prepared soon about using the simulator and adding new algorithms etc.
標(biāo)簽： distribut releases planners models
上傳時(shí)間： 2015-11-22
上傳用戶：wanghui2438
To increase simulation speed, ModelSim® can apply a variety of optimizations to your design. These include, but are not limited to, mergingprocesses, pulling constants out of loops, clock suppression, and signal collapsing. You control the level of optimization by specifying certain switches when you invoke the compiler.
標(biāo)簽： optimizations simulation ModelSim increase
上傳時(shí)間： 2013-12-25
上傳用戶：pkkkkp
IT++ is a C++ library of mathematical, signal processing and communication system routines/functions. Its main use is in simulation of communication systems or for performing research in the area of communications.
標(biāo)簽： communication mathematical processing functions
上傳時(shí)間： 2014-01-13
上傳用戶：han_zh
This code was used to produce simulation results described in: Using Directional Antennas to Prevent Wormhole Attacks Lingxuan Hu and David Evans. Network and Distributed System Security Symposium, San Diego, 5-6 February 2004.
標(biāo)簽： Directional simulation described Antennas
上傳時(shí)間： 2014-12-06
上傳用戶：xieguodong1234
This program includes: [5 7] convolutional code (encoder) + BPSK + AWGN + MAP (decoder). It evaluates Bit Error Rate and plots it versus SNR(signal to Noise Ratio).
標(biāo)簽： convolutional includes program encoder
上傳時(shí)間： 2015-12-24
上傳用戶：bruce5996
In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin particular how to incorporate local linearisation methods similar to those which have previously been employed in the deterministic filtering literature these lead to very effective importance distributions. Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of the analytic structure present in some important classes of state-space models. In a final section we develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
標(biāo)簽： sequential simulation posterior overview
上傳時(shí)間： 2015-12-31
上傳用戶：225588
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are required with non-standard models. Recently, there has been renewed interest in simulation-based techniques. The basic idea behind these techniques is that the current state of knowledge is encapsulated in a representative sample from the appropriate posterior distribution. As time goes on, the sample evolves and adapts recursively in accordance with newly acquired data. We give a critical review of recent developments, by reference to oil well monitoring, ion channel monitoring and tracking problems, and propose some alternative algorithms that avoid the weaknesses of the current methods.
標(biāo)簽： monitoring sequential industria accurate
上傳時(shí)間： 2013-12-17
上傳用戶：familiarsmile
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