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
上傳時間： 2013-12-25
上傳用戶：pkkkkp
Triscend supports the use of the Model Technology ModelSim logic simulator for VHDL Simulation of designs implemented in the Configurable System Logic (CSL) portion of a Triscend device.
標(biāo)簽： Technology Simulation simulator the
上傳時間： 2013-12-26
上傳用戶：zl5712176
Author: wei liu Summary: Simulation of binary and non-binary bch decoder MATLAB Release: R14SP1 Required Products: Communications Toolbox Description: Simulation of binary bch decoding algorithm for bch(n, k) with t bits error correction capability.
標(biāo)簽： Simulation non-binary Summary Release
上傳時間： 2014-01-10
上傳用戶：frank1234
Simulation OF SELF-SIMILAR TRAFFIC AND A TCP TRAFFIC SIMULATOR
標(biāo)簽： TRAFFIC SELF-SIMILAR Simulation SIMULATOR
上傳時間： 2014-01-23
上傳用戶：hphh
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
上傳時間： 2014-12-06
上傳用戶：xieguodong1234
Simulation of digital baseband modulation,it is very good for the users to deepen their understanding
標(biāo)簽： understandin Simulation modulation baseband
上傳時間： 2014-01-13
上傳用戶：daoxiang126
This a calculator Simulation program written in Labview. It is based on event structure introduced by Labviw 8.0 or later editions.
標(biāo)簽： calculator Simulation introduced structure
上傳時間： 2015-12-27
上傳用戶：123456wh
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
上傳時間： 2015-12-31
上傳用戶：225588
Simulation OF ELECTRIC MACHINE AND DRIVE SYSTEMS USING matlab and simulink
標(biāo)簽： Simulation ELECTRIC simulink MACHINE
上傳時間： 2016-01-04
上傳用戶：hphh
CDMA 2000 Simulation using SIMULINK
標(biāo)簽： Simulation SIMULINK using CDMA
上傳時間： 2014-05-29
上傳用戶：小眼睛LSL
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