搜索资源列表
FreqAnalysis_FFTDFT
- 结构动力学ElCentro波频谱分析 FFTDFT算法比较-Earthquake Time-histories Frequency Analysis FFT DFT
FFT_section
- 基于51单片机的音乐频谱，这个工程源码是FFT算法。-Based on 51 single-chip music spectrum, the engineering source code is the FFT algorithm.
sp_gram
- gram - 计算信号向量的频谱图 ％ ％[B，F，T] 频谱图（xx，Nfft，fs，窗口，Noverlap） ％ ％输出： ％B 谱图值 ％F 来自FFT的分析频率（Hz） ％T 窗口位置时间（秒）- gram compute the spectrogram of a signal vector [B,F,T] spectrogram(xx,Nfft,fs,window,Noverlap ) Outputs:
fiufei
- 对信号进行频谱分析及滤波，有详细的注释，基于kaiser窗的双谱线插值FFT谐波分析。- The signal spectral analysis and filtering, There are detailed notes, Dual-line interpolation FFT harmonic analysis kaiser windows.
part4
- LED简易音乐频谱，C51程序，基二fft算法-The proposed spectrum procedure is based on two fft
ypxhsc
- 主要产生移频信号，并用FFT解调及频谱校正，在频域显示。-Mainly produce frequency shift signal, and with FFT demodulation and spectrum correction, in the frequency domain display.
bjp
- fft与边际谱的对比，并画出hilbert图和三维时频谱图-compare fft with marginal spectrum and plot the hilbert figure and 3d time-frequency picture
chengxu
- 小波变换进行变速箱故障诊断 首先将s1和s2信号时域谱（s1代表维修前的振动信号，s2代表维修后的振动信号），画出来进行对比，会发现s1信号的振动幅值会比较高；然后对s1和s2分别进行小波分解并画出各层的时域谱，只对比s1和s2分后的最高时域谱，s2更加的具有周期性，且幅值较小，s2周期性不够明显，且振动过于密集。分析完时域谱后开始分析频谱，首先对原信号s1和s2fft转换，得到频谱图，如图，然后再对小波分析后高频部分进行fft转换，做出频谱图。对比后我们发现，在f 2375HZ出（也就是齿
cxy_snr
- CXY 可用来验证： 1、不同FFT点数的结果*2/M 真实幅度（电压值）（第一二行图） 2、验证计算Ps,Pn及SNR的方法，通过构造加AWG噪声的信号来印证（第二三行图） 3、对比N在整周波和非整周波情况下的通过SNR观察频谱泄露效应（第三行图）- CXY can be used to verify: 1, the result of different FFT points* 2/M true amplitude (voltage value) (f
Spectrum
- 利用快速傅里叶变换的最简洁的51单片机音乐频谱仪-Leveraging FFT the simplest 51 single-chip music spectrum analyzer
labview-pinpu
- 基于labview的频谱分析，简单的fft快速傅里叶变换-Spectrum analysis based on LabVIEW ， Simple FFT fast Fourier transform
66256063
- FFT子程序编写及应用和FFT对连续信号进行频谱分析,很好-FFT subroutine writing and application and FFT spectrum analysis was carried out on the continuous signal, is very good
myfft
- 求频谱的函数fft, x为输入信号，fs为采样频率,y为fft后的数据-The function of the spectrum fft, x for the input signal, fs for the sampling frequency, y is fft after the data
0662503
- FFT子程序编写及应用和FFT对连续信号进行频谱分析,很好-FFT subroutine writing and application and FFT spectrum analysis was carried out on the continuous signal, is very good
06215483
- FFT子程序编写及应用和FFT对连续信号进行频谱分析,很好-FFT subroutine writing and application and FFT spectrum analysis was carried out on the continuous signal, is very good
FFT_example3
- 采样数据过少，运用FFT变换不能分辨出其中的频率成分。添加零后可增加频谱中的数据个数，谱的密度增高了，但仍不能分辨其中的频率成分，即谱的分辨率没有提高。只有数据点数足够多时才能分辨其中的频率成分。-Sampling data is too small, the use of FFT transform can not distinguish the frequency components. Adding zero can increase the number of data in the s
myGraduationDesign
- 基于STM32的频谱分析仪，包括FFT和小波变换，使用UCOS操作系统，带触控界面- U57FA u4E8ESTM32 u7984 u9891 u8C31 u5206 u6790 u4EEA uFF0C u5305 u62ECFFT u548C u5C0F u6Cc0 u53D8 u6362 uFF0C u4F7F u7528UCUS u64CD u4F5C u7CFB u7EDF uFF0C u5E26 U89E6 u63A7 u754
resonance-demodulation
- FFT，包络解调，共振解调，包络检波，倒频谱-FFT, envelope demodulation, envelope demodulation, cepstrum, demodulated resonance
fftfilter.m
- 显示fft图像，仅显示其中300个点，进而使得整个频谱显示得非常清晰-show fft image, only show 300 points, so the fft image show clearly
end
- FFT子程序编写及应用和FFT对连续信号进行频谱分析,很好-FFT subroutine writing and application and FFT spectrum analysis was carried out on the continuous signal, is very good