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应用FFT对信号进行频谱分析，列有实验内容-Application of FFT spectral analysis of signals, the contents of the column experiments have
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FFT变换 实现频谱分析 信号处理方面有重要作用 -Transform FFT spectral analysis signal processing plays an important role in
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数字信号处理实验，应用FFT对典型信号进行频谱分析，实现傅里叶变换-Digital signal processing experiments, application of typical signal FFT spectral analysis, Fourier transform to achieve
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讲解VHDL的一些基本概念、用法。其中还包含了频谱分析的一些介绍，重点在于FFT算法介绍。-VHDL to explain some basic concepts, usage. Spectral analysis which also includes some descr iption, with emphasis on FFT algorithm introduced.
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用FFT对连续时间信号进行频谱分析（基于matlab）里面包含了程序代码。-Continuous-time signal using FFT for spectral analysis (based on matlab) which contains the program code.
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A Fast Fourier Transform (FFT) is an efficient algorithm to compute the Discrete Fourier Transform (DFT) and its inverse. There are many distinct FFT algorithms involving a wide range of mathematics, from simple complex-number arithmetic to group the
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时域基2快速傅里叶变换算法，在nios ii处理器中实现的一种 fft功能算法，可用于频谱分析。-Time domain radix-2 FFT algorithm, implemented in the nios ii processor features an fft algorithm can be used for spectral analysis.
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基于fft的频谱分析程序.硬件由dsp实现,数据通过串口送至计算机进行频谱分析显示。-Fft spectrum analysis procedures based on the hardware by dsp, spectral analysis of data sent to the computer through a serial display.
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基于STC系列单片机的频谱分析程序。主要包含FFT程序和LED控制程序。-STC series single-chip-based spectral analysis procedures. The main program contains the FFT and LED control program.
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The sliding DFT is a spectral analysis method based on the classical FFT, implemented over a subset of the N center frequencies of the N-point DFT. The sliding DFT (SDFT) algorithm performs an N-point DFT on time samples within a sliding-window.
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该工程在CCS软件下编写，用DSP通过C语言实现FFT算法，并能够对输入信号进行频谱分析-The project in the CCS software is written using DSP to achieve FFT algorithm C language, and be able to input signal spectral analysis
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Dual-line interpolation FFT harmonic analysis kaiser windows, matlab development toolbox support vector machine, Calculating a target and ocean echo power spectral density.
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