clearly explains concepts such As introspection, overriding built-ins, extending Perl s object-oriented model, and testing your code for greater stability.
Ass="tags">標簽： introspection object-orien overriding built-ins
Ass="time">上傳時間： 2013-12-17
Ass="username">上傳用戶：aeiouetla
優美源碼的絕好參考書籍！Beautiful code wAs conceived by greg wilson in 2006 As a way to elicit insights from leading software developers and computer scientists
Ass="tags">標簽： Beautiful conceived insights elicit
Ass="time">上傳時間： 2016-03-20
Ass="username">上傳用戶：xzt
DPSS. CALCULATES DISCRETE PROLATE SPHEROIDAL SEQUENCES FOR USE As DATA TAPERS. Source from statlib.
Ass="tags">標簽： CALCULATES SPHEROIDAL SEQUENCES DISCRETE
Ass="time">上傳時間： 2013-12-20
Ass="username">上傳用戶：wendy15
THIS DESIGN IS PROVIDED TO YOU "As IS". XILINX MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, AND XILINX SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. This design hAs not been verified on hardware (As opposed to simulations), and it should be used only As an example design, not As a fully functional core. XILINX does not warrant the performance, functionality, or operation of this Design will meet your requirements, or that the operation of the Design will be uninterrupted or error free, or that defects in the Design will be corrected. Furthermore, XILINX does not warrant or make any representations regarding use or the results of the use of the Design in terms of correctness, accuracy, reliability or otherwise.
Ass="tags">標簽： CONDITIONS WARRANTIES YOU PROVIDED
Ass="time">上傳時間： 2016-03-21
Ass="username">上傳用戶：1427796291
This document is a simplified version of the original. This version is not required to be treated As confidential and Non Disclosure Agreement with neither the 3C LLC nor the SDA is required. Reproduction in whole or in part is prohibited without prior written permission of SDA.
Ass="tags">標簽： version This simplified document
Ass="time">上傳時間： 2014-12-08
Ass="username">上傳用戶：zhangyi99104144
This document is intended to serve As an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tAsks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/pAste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures As a set of Matlab scripts, but you should try As much As possible to avoid using them.
Ass="tags">標簽： introduction processing document intended
Ass="time">上傳時間： 2016-03-22
Ass="username">上傳用戶：qlpqlq
you can use this matlab code to change image into different color system such As luv, rgb, yuv and lab
Ass="tags">標簽： different matlab change system
Ass="time">上傳時間： 2016-03-27
Ass="username">上傳用戶：小眼睛LSL
This example demo code is provided As is and hAs no warranty, implied or otherwise. You are free to use/modify any of the provided code at your own risk in your applications with the expressed limitation of liability (see below) so long As your product using the code contains at leAst one uPSD products (device).
Ass="tags">標簽： otherwise provided warranty example
Ass="time">上傳時間： 2014-11-17
Ass="username">上傳用戶：hoperingcong
Schematic for using Infrared As a data link
Ass="tags">標簽： Schematic Infrared using data
Ass="time">上傳時間： 2013-12-26
Ass="username">上傳用戶：225588
多項式曲線擬合 任意介數 Purpose - LeAst-squares curve fit of arbitrary order working in C++ Builder 2007 As a template clAss, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size As the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.
Ass="tags">標簽： LeAst-squares arbitrary Purpose Builder
Ass="time">上傳時間： 2013-12-18
Ass="username">上傳用戶：宋桃子
