Coaxial feed structures are widely used in ultra-wide band antennas . This paper modeled the characteristic of the monopole antenna feeded by coaxial line by FDTD in the time-domiain,which showes that . Firstly, it introduced the theory of the arithmetic and the particularly realization in the calculation then it described the use in the time-domain finally it analysed several characteristics of the monopole antenna. The arithmetic used in the microstrip antenna is also a quick and economical way to design the antenna.
標簽： structures ultra-wide antennas Coaxial
上傳時間： 2016-06-28
上傳用戶：朗朗乾坤
As information technology is more and more in-depth and wide range of applications, management information system has been gradually implemented in the technical maturity. Management Information System is a continuous development of new disciplines. Library Management System is a typical management information system (MIS), the development includes the background of the establishment and maintenance of database and front-end application development aspects. Database requested data consistency, integrity and the security of the data, and front-end applications require complete functions, such as easy-to-use. After analysis, I chose companies MICROSOFT VISUAL BASIC and Access prospects were as database development tools and background. With the provision of the various object-oriented development tools, in particular the data window convenient and simple objects developed intelligent customer satisfaction systems.
標簽： more applications information technology
上傳時間： 2013-11-29
上傳用戶：xymbian
Under the labor sentiment monitor system has several parts of compositions: The mobile termination software and hardware development, the central server software development as well as opens video frequency the prompt reflection. The labor sentiment monitor end is responsible for the data and the scene picture which
標簽： compositions termination sentiment monitor
上傳時間： 2014-11-29
上傳用戶：aig85
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries. * extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information. * extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes. * sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries. * ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module. ?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module. ?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module.
標簽： acousticfeatures timeseries generate training
上傳時間： 2013-12-26
上傳用戶：牛布牛
Advanced UNIX Programming is the long-awaited (19 years!) update to the 1985 original. Maybe "update" isn t the right word--of the 750-or-so pages in the new book, there are maybe two dozen paragraphs that are unchanged. The original covered about 70 system calls, and the new one covers about 300. （這是Advanced UNIX Programming的附書源碼）
標簽： update long-awaited Programming the
上傳時間： 2013-12-19
上傳用戶：xiaoxiang
This programme is to control DC motor in a certain speed using PWM. The target speed is "r", it is the speed in 1s. The sample rate is 0.1s, so the actual speed target is "rc"=r/10. The "r" and "rc" are integer, and the range of "r" is from 50 to 100. Keep rc=r/10!!! The array "speed1" and "speed2" are the control result, in 0.1s and 1s. The length of "speed1" is 2400, and "speed2" is 240. The "pw" and "nw" are the parameters of PWM. The test will last 4 min.
標簽： speed programme is control
上傳時間： 2014-11-22
上傳用戶：jyycc
Already the industry standard for Python users, Programming Python from O Reilly just got even better. This third edition has been updated to reflect current best practices and the abundance of changes introduced by the latest version of the language, Python 2.5
標簽： Python Programming industry standard
上傳時間： 2013-12-13
上傳用戶：zgu489
FFTW, a collection of fast C routines to compute the Discrete Fourier Transform in one or more dimensions.The fftw/ directory contains the source code for the complex transforms, and the rfftw/ directory contains the source code for the real transforms.
標簽： collection Transform Discrete routines
上傳時間： 2016-08-17
上傳用戶：yoleeson
Images with Uncertainty Efficient Algorithms for Shift, Rotation, Scaling, and Registration, and Their Applications to Geosciences (2007).pdf
標簽： Registration Uncertainty Algorithms Efficient
上傳時間： 2016-08-23
上傳用戶：zhaiye
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
標簽： Matlab-interfaces inference interface the
上傳時間： 2016-08-27
上傳用戶：gxrui1991
