The DSPLIB is a collection of 39 high-level optimized DSP functions for the TMS320C64x device. This source code library includes C-callable functions (ANSI-C language compatible) for general signal ProcessING math and vector functions.
The DSPLIB is a collection of 39 high-level optimized DSP functions for the TMS320C64x device. This source code library includes C-callable functions (ANSI-C language compatible) for general signal ProcessING math and vector functions.
前面我們通過Veritas Cluster Server for DB2雙機-入門一文已經向大家介紹了DB2雙機的基本原理和配置方法,本文將接續上文,繼續介紹DB2的高級需求-大規模并行處理(Massively Parallel ProcessING, MPP)-環境下,用戶如何利用VCS配置雙機互備環境?!?/p>
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.
This document accompanies a sample co-installer that can be used in conjunction with an INF file to install additional device INF files on the target system during a device installation. The instructions herein apply to the Microsoft Windows 2000 and Windows XP and Windows Server 2003 operating systems.
The sample co-installer described in this article interprets CopyINF directives in a [DDInstall] section in an INF file. The sample demonstrates using a co-installer to perform ProcessING after a device has been installed, parsing the INF section that is being used for the installation, and the use of the SetupCopyOEMInf, SetupGetInfInformation, SetupQueryInfOriginalFileInformation and SetupDiGetActualSectionToInstall APIs.
This tutorial white-paper illustrates practical aspects of FIR
filter design and fixed-point implementation along with the
algorithms available in the Filter Design Toolbox and the
Signal ProcessING Toolbox for this purpose.
PDTDFB toolbox
The filter bank is described in:
The Shiftable Complex Directional Pyramid—Part I: Theoretical Aspects
The Shiftable Complex Directional Pyramid—Part II: Implementation and Applications
IEEE transaction on singnal ProcessING, Oct. 2008
Other related papers and software are available at:
nttruong.googlepages.com
Acknowledgement: The code development is based on the matlab code of the contourlet toolbox and the steerable pyramid.
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
In this paper, we describe the development of a rapidly reconfigurable system in which the users’ tacit knowledge and requirements are
elicited via a process of Interactive Evolution, finding the image ProcessING parameters to achieve the required goals without any need for
specialised knowledge of the machine vision system. We show that the resulting segmentation can be quickly and easily evolved from
scratch, and achieves detection rates comparable to those of a hand-tuned system on a hot-rolled steel defect recognition problem.
This paper shows the development of a 1024-point
radix-4 FFT VHDL core for applications in hardware signal ProcessING, targeting low-cost FPGA technologies. The developed core is targeted into a Xilinx廬 Spartan鈩?3 XC3S200 FPGA with the inclusion of a VGA display interface and an external 16-bit data acquisition system for performance evaluation purposes. Several tests were performed in order to verify FFT core functionality, besides the time performance analysis highlights the core advantages over commercially available DSPs and Pentium-based PCs. The core is compared with similar third party IP cores targeting resourceful FPGA technologies. The novelty of this work is to provide a lowcost, resource efficient core for spectrum analysis
applications.