The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D
標簽： spectrum direction-independent i.e. the
上傳時間： 2013-12-17
上傳用戶：watch100
This article discusses some issues that a typical Windows C++ programmer will encounter when approaching Symbian OS for the first time. Our experience in developing for three successive versions of Symbian OS has given us considerable perspective on what can be difficult when working in this otherwise rich and stable environment. While one reason for Symbian s success may be the desire of many mobile phone manufacturers not to be tied to Microsoft, the other reason is that Symbian has put together a lightweight, elegant system that succeeds in providing a very impressive range of functionality. Here are some pointers to help ease the transition to successful Symbian OS application development.
標簽： programmer discusses encounter article
上傳時間： 2017-07-30
上傳用戶：zhaiyanzhong
The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "
標簽： L. A. classifiers implements
上傳時間： 2017-08-02
上傳用戶：無聊來刷下
ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.
標簽： introduced literature Broomhead Function
上傳時間： 2017-08-08
上傳用戶：lingzhichao
一站多點式坐標計算，從全站儀導出的數據文件需要轉化到"input.txt"的格式。
上傳時間： 2013-12-25
上傳用戶：xiaohuanhuan
附合導線近似平差程序，外業觀測數據需要整理成"input.txt"的格式
上傳時間： 2017-08-11
上傳用戶：jiahao131
Title : Implementation of quadrature modulation and demodulation Design Object : By implementing quadrature modulation and demodulation of analog signals in digital signal processing, students will have better understanding of sampling and frequency analysis of discrete-time signals. Design Content : Make a MATLAB function which performs quadrature modulation and demodulation for a input signal with anti-aliasing filtering.
標簽： Implementation demodulation implementing modulation
上傳時間： 2013-12-09
上傳用戶：蠢蠢66
這是本人原創的，包含了iptables各種功能實現的例子。有NAT轉換，對外發布服務器，特定端口的映射，filter表中FORWARD、INPUT、OUTPUT鏈規則制定的實現細則，并做了詳盡的注釋。配置命令中的每一條均在實際機器上做過測試，請放心參閱。
標簽：
上傳時間： 2017-08-17
上傳用戶：小儒尼尼奧
David Vernon is the Coordinator of the European Network for the Advancement of Artificial Cognitive Systems and he is a Visiting Professor of Cognitive Systems at the University of Genoa. He is also a member of the management team of the RobotCub integrated working on the development of open-source cognitive humanoid robot. Over the past 27 years, he has held positions at Westinghouse Electric, Trinity College Dublin, the European Commission, the National University of Ireland Maynooth, Science Foundation Ireland, and Etisalat University College. He has authored two and edited three books on computer vision and has published over eighty papers in the fields of Computer Vision, Robotics, and Cognitive Systems. His research interests include Fourier-based computer vision and enactive approaches to cognition. He is currently a Professor at Etisalat University College in Sharjah-United Arab Emirates, focusing on Masters programs by research in Computing fields.".[1]
標簽： the Coordinator Advancement Artificial
上傳時間： 2014-01-08
上傳用戶：netwolf
The Open Radar Data Acquisition (ORDA) subsystem replaces the current WSR-88D Radar Data Acquisition subsystem with improved receiver and signal processing hardware and with improved user interface, signal processing and diagnostics software. This paper will discuss the input data from the digital receiver, the ORDA signal processing, and the data output from the ORDA hardware. Specifications of the ORDA digital receiver will be presented. The paper outlines the critical radar signal processing flow and provides analysis of new spectrum width computations and clutter filtering schemes used in the ORDA system. Where appropriate, ORDA performance enhancements, data quality improvements and reliability and maintenance improvements will be highlighted.
標簽： Radar Data Acquisition Acquisiti
上傳時間： 2017-08-25
上傳用戶：leixinzhuo
