资源列表
MATLAB+DSP
- 数字滤波器的MATLAB设计与DSP上的实现-Digital Filter Design with MATLAB DSP Implementation
Tlv2544
- 四路串行模数转换IC--TLV2544的接口驱动源代码-Four serial analog-to-digital conversion IC -- TLV2544 Interface Driver source code
ADE7753
- 单相多功能仪表IC--ADE7753能量芯片的接口部分源代码-single-phase multi-function IC instrumentation -- ADE7753 energy chip interface part of the source code
appdrv
- 嵌入式系统下的文件管理处理,和基本图片jpg格式处理原代码-Embedded System document management, and basic photo jpg format handling the original code
SEEDVPM642_ide
- 这是测试SEED-VPM642系统中第1通路的图像显示（U21）的程序。-SEED - VPM642 System No. 1 pathway in image (U21) procedures.
SEEDVPM642_boot
- 这是测试SEED-VPM642系统中第3通路的图像显示（U23）的程序。-SEED - VPM642 System No. 3 pathway in image (U23) procedures.
08_CodingForHWPerformance
- The MATLAB coding style, project options and synthesis directives can have a significant effect on the final results. Knowledge about how a particular algorithm should be implemented in hardware can be reflected in the MATLAB code to improve the resu
07_AddingHardwareControl
- Often it is necessary to add some logical control to a MATLAB algorithm to allow the generated hardware to function correctly in the overall system. This lab exercise will explore how hardware control can be added to a MATLAB algorithm and synthesize
06_DesignExploration
- This lab exercise will cover the use of AccelDSP’s design exploration capabilities that include mapping variables to memory and unrolling loop and vector operations. You will learn how to create different hardware architectures without modifying the
05_UsingAccelWare
- This lab exercise will introduce you to the AccelWare IP generators. AccelWare is a library of over fifty IP generators, available in the form of three toolkits that produce synthesizable MATLAB for common MATLAB built in and toolbox functions. Each
03_Quantization
- This lab exercise will introduce you to AccelDSP’s floating- to fixed-point conversion features. AccelDSP will automatically generate a fixed-point representation of a floating-point design. This process is controllable by using quantize directives.-
01_GettingStarted
- This getting started exercise will guide you through the step-by-step process of transforming a MATLAB floating-point model into a hardware module that can be implemented in silicon (FPGA or ASIC). The design is a general purpose FIR filter taken fro