基于 dsp 的 fft 频谱分析方法研究摘要：现代社会科学技术发展速度极快，微电子技术以及计算机科学进展速度尤为显著，对于促进社会的发展发挥了关键性作用。频谱分析的基础是信号处理，现阶段已经在大部分工程技术领域当中有所应用，并在行业中占据着极为重要的地位。DSP 性质可以细化为几个层面，分别为集成性、稳定性以及可重复性。同时，处理速率极高，可编程，为频谱分析基础的优化和更新创造了广阔的空间。信号处理中诸多问题的解决需要借助于数字信号处理这一技术可以细化为数字滤波和频谱分析两个不同的层面。本文所研究的频谱分析主要是基于 DSP 的 FFT 变换，借助于细致研就 FFT 以及 DFT，可以完成对这方面知识细致梳理，在学习中，要重点完成对 FFT 的研究和理解。在明确 DSP 芯片基本理论知识和开发环境的前提下，学习软件仿真以及 CCS、MATLAB 的调试办法，进一步对 FFT 算法的正确性进行验证，实现 DSP 信号的频谱分析，保证分析结果的实时性。关键词：DFT、FFT、频谱分析、DSPResearch on FFT Spectrum Analysis method based on DSPAbstract：The development of modern social science and technology is extremely fast, and the progress of microelectronics technology and computer science is particularly remarkable, which plays a key role in promoting social development. The basis of spectrum analysis is signal processing. At present, it has been applied in most engineering technology fields and plays an extremely important role in the industry. The nature of DSP can be refined into several layers, namely integration, stability and repeatability. At the same time, the processing rate is extremely high and programmable, creating a vast space for optimization and updating of the spectrum analysis basis. The solution to many problems in signal processing requires digital signal processing, which can be refined into two different layers of digital filtering and spectral analysis. The spectrum analysis studied in this paper is mainly based on the FFT transformation of ...
