GAR算法ppt An Intelligent Network Routing Algorithm by a Genetic Algorithm
標(biāo)簽： Algorithm Intelligent Genetic Network
上傳時間： 2014-01-12
上傳用戶：zwei41
image enhancement in frequency domain
標(biāo)簽： enhancement frequency domain image
上傳時間： 2014-08-13
上傳用戶：小寶愛考拉
This example streams input from a ADC source to a DAC. An analog signal is acquired block-by-block into SDRAM from the ADC (an AD9244 in this example). The frames are then output with a one-frame delay to the DAC (an AD9744 in this example). In this example, no processing is done on the frames. They are passed unaltered.
標(biāo)簽： block-by-block acquired example streams
上傳時間： 2015-12-29
上傳用戶：bjgaofei
VDSP++打開。This directory contains an example ADSP-BF537 RTC project that does a basic blink routine and then puts the part in deep sleep mode to be woken up from a RTC Stopwatch Event. Once woken up, the RTC is reconfigured to toggle the EZ KIT LEDs using RTC second, minute, hour, and day interrupts.
標(biāo)簽： directory contains ADSP-BF example
上傳時間： 2015-12-29
上傳用戶：330402686
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
an excellent java tutorial for the ones who is not a beginner of this language
標(biāo)簽： excellent beginner tutorial language
上傳時間： 2016-01-01
上傳用戶：杜瑩12345
This is an implentation of the RIJNDAEL cryptosystem.
標(biāo)簽： implentation cryptosystem RIJNDAEL This
上傳時間： 2016-01-01
上傳用戶：Miyuki
An unsatisfactory property of particle filters is that they may become inefficient when the observation noise is low. In this paper we consider a simple-to-implement particle filter, called ‘LIS-based particle filter’, whose aim is to overcome the above mentioned weakness. LIS-based particle filters sample the particles in a two-stage process that uses information of the most recent observation, too. Experiments with the standard bearings-only tracking problem indicate that the proposed new particle filter method is indeed a viable alternative to other methods.
標(biāo)簽： unsatisfactory inefficient property particle
上傳時間： 2014-01-11
上傳用戶：大三三
a very good bok from an international expert, suitable to professinal programmers
標(biāo)簽： international professinal programmers suitable
上傳時間： 2014-01-18
上傳用戶：yoleeson
This book is an in-depth exploration into eVB s inherent features, and how to use them to solve likely mobile application programming tasks. After reading the book the reader will be able to write applications tackling a wide array of business problems for Windows CE-powered devices, both customized and for PocketPC and Handheld PC products. This book will help ease the transition into the language, and provide a reference for even more experienced developers.
標(biāo)簽： exploration in-depth features inherent
上傳時間： 2013-12-12
上傳用戶：aa54
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