Abstract：Noise frequency modulation(FM)jamming。which belongs to blanket jamming。is already become the main form ofnoise jamming at present。because the wideband was gained by it．Tne spectnlnl ofnoise FM jamming is analyzed by time domain autocorrelation method in this paper．It’S jamm g peculiarity and几out— putting signal’S jamming peculiarity ale explained．At last，these time series MODELs ofnoise FM jalllIIling sig— nal and几outputting signal ale built．
标签： jamming modulation frequency Abstract
上传时间： 2015-10-17
上传用户：lijinchuan
Incorporating Prior Knowledge in Cubic Spline Approximation - Application to the Identification of Reaction Kinetic MODELs
标签： Identification Incorporating Approximation Application
上传时间： 2013-11-29
上传用户：shinesyh
In this report we provide an overview of several closely related methods developed during the last few yers, to smooth, denoise, edit, compress, transmit, and animate very large polygonal MODELs.
标签： developed overview provide closely
上传时间： 2013-12-16
上传用户：ippler8
This leon3 design is tailored to the Altera NiosII Startix2 Development board, with 16-bit DDR SDRAM and 2 Mbyte of SSRAM. As of this time, the DDR interface only works up to 120 MHz. At 130, DDR data can be read but not written. NOTE: the test bench cannot be simulated with DDR enabled because the Altera pads do not have the correct delay MODELs. * How to program the flash prom with a FPGA programming file 1. Create a hex file of the programming file with Quartus. 2. Convert it to srecord and adjust the load address: objcopy --adjust-vma=0x800000 output_file.hexout -O srec fpga.srec 3. Program the flash memory using grmon: flash erase 0x800000 0xb00000 flash load fpga.srec
标签： Development Startix2 tailored Altera
上传时间： 2014-01-19
上传用户：chongcongying
The present paper deals with the problem of calculating mean delays in polling systems with either exhaustive or gated service. We develop a mean value analysis (MVA) to compute these delay figures. The merits of MVA are in its intrinsic simplicity and its intuitively appealing derivation. As a consequence, MVA may be applied, both in an exact and approximate manner, to a large variety of MODELs.
标签： with calculating present polling
上传时间： 2014-11-17
上传用户：kelimu
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.
标签： sequential simulation posterior overview
上传时间： 2015-12-31
上传用户：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.
标签： monitoring sequential industria accurate
上传时间： 2013-12-17
上传用户：familiarsmile
CCISP考试指南与导读 CISSP STUDY NOTES FROM CISSP PREP GUIDE 1 DOMAIN 1 – SECURITY MANAGEMENT PRACTICES 2 DOMAIN 2 – ACCESS CONTROL SYSTEMS 7 DOMAIN 3 – TELECOM AND NETWORK SECURITY 13 DOMAIN 4 – CRYPTOGRAPHY 34 DOMAIN 5 – SECURITY ARCHITECTURE AND MODELs 46 DOMAIN 6 – OPERATIONS SECURITY 56 DOMAIN 7 – APPLICATIONS AND SYSTEM DEVELOPMENT 63 DOMAIN 8 – BUSINESS CONTINUITY AND DISASTER RECOVERY PLANNING 70 DOMAIN 9 – LAW, INVESTIGATION AND ETHICS 78 DOMAIN 10 – PHYSICAL SECURITY 87
标签： CISSP MANAGEMENT PRACTICES SECURITY
上传时间： 2014-02-13
上传用户：sy_jiadeyi
Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov MODELs.
标签： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上传时间： 2016-01-23
上传用户：569342831
These Simulink blocks contain transfer functions that model the pressure and flow transients for axisymmetric 2D viscous flow of a compressible fluid in a straight rigid circular cross section pipelines. Three MODELs are available: (1) pressures at the ends (2) flow rates at the ends (3) pressure at one end and flow rate at the other Filtering is incorporated to reduce numerical oscillation (Gibbs phenomenon). See J. Dyn. Systems, Meas. & Control vol 122 (2000) pp. 153-162.
标签： transients functions Simulink transfer
上传时间： 2014-01-22
上传用户：Shaikh
