资源列表
DSP_16c550
- 一个高质量的DSP与异步串口通信芯片16C550的发送接受源代码。-a high-quality DSP and asynchronous serial communication chip 16C550 for the transmission source.
slaa167
- ads8361基于dsptms320f2812的接口程序-ads8361 based on the interface procedures dsptms320f2812
TMS320C6713-IO
- 这是一个在CCS平台下开发的一个IO通讯测试程序,可以当作参考.-This is a platform for the CCS developed under an IO communications test procedure can be used as a reference.
CCStoutirul
- CCS 是TI公司的DSP调试用具.非常的好用。 本文档详细解释了DSP 调试的方法，以及CCS 的使用方法。 对初学者很有帮助-TI DSP debugging tools. Very handy. This document detailed explanation of DSP debugging methods, and methods of using CCS. Helpful for beginners
DSP.Algorithms.For.Programmers
- 常见DSP算法的C语言实现。可供图形、图像、音频开发参考。清晰流畅，源码详细。-common DSP algorithm in C language. For graphics, images, audio development reference. Clear and smooth, and detailed source.
flashburnandbootloader
- 6713falsh burn 烧写flash-6713falsh burning flash burn
motorola_dsp
- MOTOROLA的dsp－56F807对atmel的eepromI2C总线的读写操作-the dsp - 56F807 right atmel the total eepromI2C Read and Write Line
DM642_Zoom
- 基于DM642平台的图象缩放处理程序。帮助大家搞清数据处理、传输的路径，掌握视频显示程序的运行和控制过程。-DM642 platform based on the image scaling process. To help everyone to understand data processing, transmission paths, master video display program and the operation of the control process.
FFTtranslationinDSP
- 使用FFT变换求一个时域信号的频域特性，并从这个频域特性求出该信号的频域值，使用DSP汇编语言实现对FFT的DSP编程-FFT transform the use of a time-domain signals in the frequency domain characteristics, and from the frequency domain characteristics of the signal obtained in the frequency domain value, th
wave_dsp
- 97提升小波程序（二代小波） -upgrade wavelet 97 (second generation wavelet) 97 upgrade Wavelet (second generation wavelet)
eletric_power
- 在TI的TMSF2812平台上，完成了FFT的电能质量分析，使用AD73360AR数模转换芯片，提供有FLASH，显示，通讯接口的源程序-TMSF2812 in the TI platform, completed the FFT power quality analysis AD73360AR use digital-to-analog converter chip, provide FLASH, display, communication interface of the source
nsga2_ccs
- 多目标算法的DSP实现。可以直接在DSP平台上进行多目标优化-multi-target DSP algorithm. Directly on the DSP platform for multi-objective optimization