Nios II Custom InstructionUserGuideNios II custom instructions are custom logic blocks adjacent to the ALU in the processor’s data path.
标签： custom InstructionUserGuideNios instructions adjacent
上传时间： 2016-11-16
上传用户：moshushi0009
常见java数据结构的使用方法，包括Arrays类Collections类HashSet类List类TreeSet类Map类Vector类
上传时间： 2014-02-10
上传用户：qiao8960
These instances, whenmapped to an N-dimensional space, represent a core set that can be used to construct an approximation to theminimumenclosing ball. Solving the SVMlearning problem on these core sets can produce a good approximation solution in very fast speed. For example, the core-vector machine [81] thus produced can learn an SVM for millions of data in seconds.
标签： N-dimensional whenmapped instances represent
上传时间： 2016-11-23
上传用户：lixinxiang
The ISD51_Demo project for the MSC1200 shows how to use the ISD51 In-System-Debugger with flash breakpoints or hardware breakpoints. By default, it is configured for flash breakpoints which allow you to set real-time breakpoints in your software. Using Flash breakpoints has also the benefit that no special handing for the shared interrupt vector is required, since the hardware break registers of the MSC1200 are not used at all.
标签： In-System-Debugger ISD the project
上传时间： 2014-11-18
上传用户：dongqiangqiang
The TMS320LF240xA and TMS320LC240xA devices, new members of the TMS320C24x generation of digital signal processor (DSP) controllers, are part of the TMS320C2000 platform of fixed-point DSPs. The 240xA devices offer the enhanced TMS320 DSP architectural design of the C2xx core CPU for low-cost, low-power, and high-performance processing capabilities. Several advanced peripherals, optimized for digital motor and motion control applications, have been integrated to provide a true single-chip DSP controller. While code-compatible with the existing C24x DSP controller devices, the 240xA offers increased processing performance (40 MIPS) and a higher level of peripheral integration. See the TMS320x240xA Device Summary section for device-specific features.
标签： TMS 320 generation 240
上传时间： 2013-12-16
上传用户：GavinNeko
This software is a Matlab implementation of restricted sampling from Gaussian distribution, and sample x (column vector) from N(x_mu, x_var), restricted in x_min<=x<=x_max.
标签： implementation distribution restricted Gaussian
上传时间： 2016-12-30
上传用户：6546544
MPC8260-MCC-HOWTO Abstract: This document attempts to give the linux developer community of motorola(R) s mpc8260 processor a fairly good idea of programming details of Multi Channel controller. This document can be distributed under GPL version 2.0 or later, GPL is available at (http://www.gnu.org/copyleft/gpl.html)
标签： MCC-HOWTO developer community Abstract
上传时间： 2017-01-11
上传用户：silenthink
Description The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise subspace and then determines the peaks the associated angles provide the DOA estimates. The MATLAB code for the MUSIC algorithm is sampled by creating an array of steering vectors corresponding to the angles in the vector angles.
标签： Description algorithm estimates proposed
上传时间： 2013-12-08
上传用户：hgy9473
Q: 我应该怎样处理内存泄漏？ A: 很简单，只要写“不漏”的代码就完事了啊。显然，如果你的代码到处是new、delete、指针运算，那你想让它“不漏”都难。不管你有多么小心谨慎，君为人，非神也，错误在所难免。最终你会被自己越来越复杂的代码逼疯的——你将投身于与内存泄漏的奋斗之中，对bug们不离不弃，直至山峰没有棱角，地球不再转动。而能让你避免这样困境的技巧也不复杂：你只要倚重隐含在幕后的分配机制——构造和析构，让C++的强大的类系统来助你一臂之力就OK了。标准库中的那些容器就是很好的实例。它们让你不必化费大量的时间精力也能轻松惬意地管理内存。我们来看看下面的示例代码——设想一下，如果没有了string和vector，世界将会怎样？如果不用它们，你能第一次就写出毫无内存错误的同样功能代码吗？
标签： 内存泄漏
上传时间： 2017-01-25
上传用户：alan-ee
本文档介绍了如何使用各种内嵌工具，函数和其他一些小技巧来加强使用matlab的速度和效率，是广大爱好者必读的文档。具体内容请参阅文档。 Learn how to use the Profiler tool, vectorized functions, and other tricks to writing efficient MATLAB code. This article includes how to convert any array into a column vector, bounding a value without if statements, and repeating/tiling a vector without repmat. Contents: * The Profiler * Array Preallocation * JIT Acceleration * Vectorization * Inlining Simple Functions * Referencing Operations * Numerical Integration * Signal Processing * Miscellaneous Tricks
上传时间： 2013-12-11
上传用户：cuiyashuo
