S60-programming-a-tutorial-guide-symbian. 1 Introduction to Mobile-Phone Systems 1 1.1 Wireless Technologies 1 1.2 Cellular Systems 2 1.3 Elements of a Mobile-Phone System 4 1.4 Keeping Users’ Calls Separate 5 1.5 Multipath PROPAGATION 7 1.6 2G Mobile-Phone Systems 9 1.7 GPRS Systems 10 1.8 3G Mobile-Phone Systems 13 1.9 IP Multimedia Subsystem 16 1.10 Mobile-Phone Hardware 17 2 Introduction to Symbian OS 19 Introduction 19 2.1 The Development of Symbian OS 20 2.2 Symbian OS User Interfaces 21 2.3 Coding Idioms 23 2.4 Tool Chains 28 3 The Console Application 33 Introduction 33 3.1 Creating a Console Application 33 3.2 CBase Classes 38 3.3 Protecting Memory 38 3.4 Putting It Into Practice: An Engine for a Simple Card Game 46 Summary 56
標簽： programming-a-tutorial-guide-symb Introduction Mobile-Phone Wireless
上傳時間： 2016-05-14
上傳用戶：dianxin61
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
外國人開發的電磁時域有限差分方法工具包 Electromagnetic Finite-Difference Time-Domain (EmFDTD) is a basic two-dimensional FDTD code developed at the School of Electrical Engineering, Sharif University of Technology. This code has been written based on the standard Yee s FDTD algorithm. Applications include PROPAGATION, scattering, and diffraction of electromagnetic waves in homogeneous and non-homogeneous isotropic media for in-plane propagating waves. Negative permittivites or permeabilities as well as dispersion is not included. Zero, Periodic, and Perfectly Matched Layer boundary conditions may be selectively applied to the solution domain. The program is best suited for study of PROPAGATION and diffraction of electromagnetic waves in Photonic Crystal structures. EmFDTD is written in MATLAB language and has been tested under MATLAB 5.0 and higher versions.
標簽： Finite-Difference Electromagnetic two-dimensio Time-Domain
上傳時間： 2014-11-24
上傳用戶：watch100
窄帶多徑信號的matlab仿真，Modeling the wireless PROPAGATION channel code
上傳時間： 2017-02-26
上傳用戶：lz4v4
人工神經網絡(Aartificial Neural Network，下簡稱ANN)是模擬生物神經元的結構而提出的一種信息處理方法。早在1943年，已由心理學家Warren S.Mcculloch和數學家Walth H.Pitts提出神經元數學模型，后被冷落了一段時間，80年代又迅猛興起［1］。ANN之所以受到人們的普遍關注，是由于它具有本質的非線形特征、并行處理能力、強魯棒性以及自組織自學習的能力。其中研究得最為成熟的是誤差的反傳模型算法(BP算法，Back PROPAGATION)，它的網絡結構及算法直觀、簡單，在工業領域中應用較多。
標簽： Aartificial Network Neural 人工神經網絡
上傳時間： 2014-01-03
上傳用戶：zhangzhenyu
無線信道陰影效應和多徑效應的MATLAB仿真程序，來自 Modeling the Wireless PROPAGATION Channel
上傳時間： 2017-06-10
上傳用戶：ardager
This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back PROPAGATION training method.
標簽： prediction one-step program chaotic
上傳時間： 2017-07-15
上傳用戶：風之驕子
This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back PROPAGATION method
標簽： predictor is prepared one-step
上傳時間： 2013-12-26
上傳用戶：TRIFCT
This report presents a tutorial of fundamental array processing and beamforming theory relevant to microphone array speech processing. A microphone array consists of multiple microphones placed at different spatial locations. Built upon a knowledge of sound PROPAGATION principles, the multiple inputs can be manipulated to enhance or attenuate signals emanating from particular directions. In this way, microphone arrays provide a means of enhancing a desired signal in the presence of corrupting noise sources. Moreover, this enhancement is based purely on knowledge of the source location, and so microphone array techniques are applicable to a wide variety of noise types. Microphone arrays have great potential in practical applications of speech processing, due to their ability to provide both noise robustness and hands-free signal acquisition.
標簽： Microphone array Tutorial Array Signal Processing
上傳時間： 2016-06-12
上傳用戶：halias
Modelling the Wireless PROPAGATION Channel -A simulation approach with Matlab - 1st Ed一書中的所有程序
上傳時間： 2017-05-17
上傳用戶：zhaoyaqun
