自定义博客皮肤VIP专享

*博客头图:

格式为PNG、JPG,宽度*高度大于1920*100像素,不超过2MB,主视觉建议放在右侧,请参照线上博客头图

请上传大于1920*100像素的图片!

博客底图:

图片格式为PNG、JPG,不超过1MB,可上下左右平铺至整个背景

栏目图:

图片格式为PNG、JPG,图片宽度*高度为300*38像素,不超过0.5MB

主标题颜色:

RGB颜色,例如:#AFAFAF

Hover:

RGB颜色,例如:#AFAFAF

副标题颜色:

RGB颜色,例如:#AFAFAF

自定义博客皮肤

-+
  • 博客(2)
  • 资源 (7)
  • 收藏
  • 关注

原创 在Ubuntu下使用Eclipse调试mex源代码文件

Ubuntu 下使用 Eclipse 调试 mex 源代码文件

2016-07-08 21:08:23 710

原创 Ubuntu 工作空间设置的方法

1.安装 CompizConfig Settings Managersudo apt-get install compizconfig-settings-manager2.在shell里运行命令ccsm,打开 CompizConfig Settings Manager 3.点击General Options,选择Desktop Size选项卡,界面如下 最后,通过设置Horiz

2016-05-30 17:54:49 2758

Designing-Sound-Andy-Farnell.pdf

Designing-Sound-Andy-Farnell Designing-Sound-Andy-Farnell Designing-Sound-Andy-Farnell

2019-10-11

矩阵分析与应用——第二版

矩阵分析与应用——第二版

2017-04-16

Concise Computer Vision - An Introduction into Theory and Algorithm

Concise Computer Vision - An Introduction into Theory and Algorithm

2016-02-29

Undocumented_Secrets_of_MATLAB_Java_Programming.part3

Undocumented_Secrets_of_MATLAB_Java_Programming.part3 Undocumented_Secrets_of_MATLAB_Java_Programming 第3部分(共3部分) http://undocumentedmatlab.com/books/matlab-java This book shows how using Java can significantly improve Matlab program appearance and functionality. This can be done easily and even without any prior Java knowledge. Readers are led step-by-step from simple to complex customizations. Within the book’s 700 pages, thousands of code snippets, hundreds of screenshots and ~1500 online references are provided to enable the utilization of this book as both a sequential tutorial and as a random-access reference suited for immediate use. This book demonstrates how: The Matlab programming environment relies on Java for numerous tasks, including networking, data-processing algorithms and graphical user-interface (GUI) We can use Matlab for easy access to external Java functionality, either third-party or user-created Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of visually appealing and usable applications No prior Java knowledge is required. All code snippets and examples are self-contained and can generally be used as-is. Advanced Java concepts are sometimes used, but understanding them is not required to run the code. Java-savvy readers will find it easy to tailor code samples for their particular needs; for Java newcomers, an introduction to Java and numerous online references are provided. No toolbox, Simulink or Stateflow is necessary for using this book – only the core Matlab product. These extra tools indeed contain many other Java-based aspects, but they are not covered in this book. Perhaps a future book will describe them. This book shows readers how to use and discover the described components, using nothing but Matlab itself as the discovery tool. In no case is illegal hacking implied or necessary for the discovery or usage of anything presented in this book. As far as I know, everything in this book is legal and within the bounds of the Matlab license agreement.

2015-03-20

Undocumented_Secrets_of_MATLAB_Java_Programming.part2

Undocumented_Secrets_of_MATLAB_Java_Programming.part2 Undocumented_Secrets_of_MATLAB_Java_Programming 第2部分(共3部分) http://undocumentedmatlab.com/books/matlab-java This book shows how using Java can significantly improve Matlab program appearance and functionality. This can be done easily and even without any prior Java knowledge. Readers are led step-by-step from simple to complex customizations. Within the book’s 700 pages, thousands of code snippets, hundreds of screenshots and ~1500 online references are provided to enable the utilization of this book as both a sequential tutorial and as a random-access reference suited for immediate use. This book demonstrates how: The Matlab programming environment relies on Java for numerous tasks, including networking, data-processing algorithms and graphical user-interface (GUI) We can use Matlab for easy access to external Java functionality, either third-party or user-created Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of visually appealing and usable applications No prior Java knowledge is required. All code snippets and examples are self-contained and can generally be used as-is. Advanced Java concepts are sometimes used, but understanding them is not required to run the code. Java-savvy readers will find it easy to tailor code samples for their particular needs; for Java newcomers, an introduction to Java and numerous online references are provided. No toolbox, Simulink or Stateflow is necessary for using this book – only the core Matlab product. These extra tools indeed contain many other Java-based aspects, but they are not covered in this book. Perhaps a future book will describe them. This book shows readers how to use and discover the described components, using nothing but Matlab itself as the discovery tool. In no case is illegal hacking implied or necessary for the discovery or usage of anything presented in this book. As far as I know, everything in this book is legal and within the bounds of the Matlab license agreement.

2015-03-20

Undocumented_Secrets_of_MATLAB_Java_Programming.part1

Undocumented_Secrets_of_MATLAB_Java_Programming.part1 Undocumented_Secrets_of_MATLAB_Java_Programming 第1部分(共3部分) http://undocumentedmatlab.com/books/matlab-java This book shows how using Java can significantly improve Matlab program appearance and functionality. This can be done easily and even without any prior Java knowledge. Readers are led step-by-step from simple to complex customizations. Within the book’s 700 pages, thousands of code snippets, hundreds of screenshots and ~1500 online references are provided to enable the utilization of this book as both a sequential tutorial and as a random-access reference suited for immediate use. This book demonstrates how: The Matlab programming environment relies on Java for numerous tasks, including networking, data-processing algorithms and graphical user-interface (GUI) We can use Matlab for easy access to external Java functionality, either third-party or user-created Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of visually appealing and usable applications

2015-03-20

Accelerating MATLAB Performance - 1001 Tips to Speed Up MATLAB Programs

Accelerating MATLAB Performance - 1001 Tips to Speed Up MATLAB Programs MATLAB 程序加速技巧 http://undocumentedmatlab.com/books/matlab-performance Accelerating MATLAB Performance: 1001 Tips to Speed Up MATLAB Programs by Yair M. Altman English | 2014 | ISBN: 1482211300 | 785 pages | PDF | 145 MB Features Demonstrates how to improve MATLAB® speed in many different ways Shows how to profile MATLAB code to identify performance hotspots Discusses various tradeoffs in MATLAB performance tuning Addresses vectorization, parallelization, distributed computing, caching, optimization, memory management, GUI, graphics, and I/O Explains using GPU, MEX, MATLAB toolboxes and external libraries Contains programming tips useful to novices and professionals alike Includes thousands of tips, code examples, and online references Supported by an active website Summary The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB. Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup. The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB’s memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance. Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily. Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.

2015-03-20

空空如也

TA创建的收藏夹 TA关注的收藏夹

TA关注的人

提示
确定要删除当前文章?
取消 删除