PNG開放源接口 The interface has
been designed to be as simple and intuitive as possible. It supports plotting and reading in the RGB (red, green,
blue), HSV (hue, saturation, value/brightness) and CMYK (cyan, magenta, yellow, black) colour spaces, basic
shapes, scaling, bilinear interpolation, full TrueType antialiased and rotated text support, bezier curves, opening
existing PNG images and more.
clearly explains concepts such as introspection, overriding built-ins, extending Perl s object-oriented model, and testing your code for greater stability.
優(yōu)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
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.
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.
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.
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).
