Nios II Custom InstructionUserGuideNios II custom instructions are custom logic blocks adjacent to the ALU in the processor’s data path.
標簽： custom InstructionUserGuideNios instructions adjacent
上傳時間： 2016-11-16
上傳用戶：moshushi0009
常見java數據結構的使用方法，包括Arrays類Collections類HashSet類List類TreeSet類Map類Vector類
上傳時間： 2014-02-10
上傳用戶：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.
標簽： N-dimensional whenmapped instances represent
上傳時間： 2016-11-23
上傳用戶：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.
標簽： In-System-Debugger ISD the project
上傳時間： 2014-11-18
上傳用戶：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.
標簽： TMS 320 generation 240
上傳時間： 2013-12-16
上傳用戶：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.
標簽： implementation distribution restricted Gaussian
上傳時間： 2016-12-30
上傳用戶：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)
標簽： MCC-HOWTO developer community Abstract
上傳時間： 2017-01-11
上傳用戶：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.
標簽： Description algorithm estimates proposed
上傳時間： 2013-12-08
上傳用戶：hgy9473
Q: 我應該怎樣處理內存泄漏？ A: 很簡單，只要寫“不漏”的代碼就完事了啊。顯然，如果你的代碼到處是new、delete、指針運算，那你想讓它“不漏”都難。不管你有多么小心謹慎，君為人，非神也，錯誤在所難免。最終你會被自己越來越復雜的代碼逼瘋的——你將投身于與內存泄漏的奮斗之中，對bug們不離不棄，直至山峰沒有棱角，地球不再轉動。而能讓你避免這樣困境的技巧也不復雜：你只要倚重隱含在幕后的分配機制——構造和析構，讓C++的強大的類系統來助你一臂之力就OK了。標準庫中的那些容器就是很好的實例。它們讓你不必化費大量的時間精力也能輕松愜意地管理內存。我們來看看下面的示例代碼——設想一下，如果沒有了string和vector，世界將會怎樣？如果不用它們，你能第一次就寫出毫無內存錯誤的同樣功能代碼嗎？
標簽： 內存泄漏
上傳時間： 2017-01-25
上傳用戶：alan-ee
本文檔介紹了如何使用各種內嵌工具，函數和其他一些小技巧來加強使用matlab的速度和效率，是廣大愛好者必讀的文檔。具體內容請參閱文檔。 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
上傳時間： 2013-12-11
上傳用戶：cuiyashuo
