搜索资源列表
Music_Spectrum_FFT_LED
- 基于STC12C5A60S2的5分段128点FFT算法音乐频谱，高亮LED显示，可自动增益调节 -STC12C5A60S2 five segments based on a 128-point FFT algorithm musical spectrum, bright LED display, automatic gain adjustment
SFFT
- 提出了一种细化FFT的短时傅立叶变换(shorttimeFouriertransform,简称STFT)时频分析新方法.STFT实 质为加窗的傅立叶变换,在窗内数据满足平稳性条件下利用傅立叶变换获得频谱,并依据时间间隔移动窗函数最终得到时频表示.细化FFT在分析频率范围内具有较高的频率分辨率,将细化FFT应用于STFT的窗内数据,可有效提高STFT的时频聚集性-Proposed a frequency analysis of short-time Fourier transform FFT re
lab1
- 用fft对数字信号进行频谱分析,包括对信号的采样，频谱分析，相位分析-The frequency spectrum analysis based on fft
MATLAT
- 分析信号的频谱，确定采样频率、采样的数据长度，根据FFT的计算结果分析信号的幅值和相位。调整参数进行仿真，根据仿真结果讨论采样频率、数据长度对频域分析结果的影响。-Spectral analysis of the signal to determine the sampling frequency, sampling data length, amplitude and phase of the signal analysis based on the calculation result of
Ti1_Ti2
- 对上述数据取一帧(512点), 进行fft变换, 对其模值取对数log后在图上标示(x轴为其频率, 要标注单位)出频谱曲线.-The above data in a frame (512 points), FFT transform, the modulus value after taking logarithm log marked on the diagram (x axis as its frequency, to indicate the unit) spectrum curve.
digital
- 实现离轴变换再现算法！离轴全息再现有零级像干扰，高通滤波，滤掉不必要的成分，对离轴全息图进行FFT，等到全息图的频谱分布- Off-axis transformation algorithm to achieve reproduction! Off-axis holographic reproduction zero level as interference, high pass filter, filter out unwanted ingredients, off-axis holog
ppy
- 51单片机实现频谱仪功能，采用fft算法，使用内部ad，12864图形显示器-51 MCU spectrum analyzer, using FFT algorithm, using the internal ad, 12864 graphic display
FFTest
- 采用基—2FFT算法对振动信号进行FFT计算，在绘图框绘制出频谱图，本源码已经集成了FFT操作类和绘图类，采用VS2010开发环境开发-Using the base-2FFT FFT algorithm to calculate the vibration signal in the drawing box draw the spectrum, the source has been integrated FFT operation classes and drawing classes, us
audio_fft_vga
- 代码使用Verilog HDL实现了使用WM8731对音频进行采样，并且使用ALTERA FPGA实现了频谱计算（FFT），在VGA上显示频谱。-Achieved using the Verilog HDL code using WM8731 audio sampling, and use ALTERA FPGA to achieve the calculated spectrum (FFT), shows the spectrum on VGA.
MATLABFFT-harmonic-analysis
- 基于MATLAB的FFT谐波频谱分析，利用FFT变换算法进行谐波的频率和幅值的变化分析，利用图形分析结果。-MATLAB-based FFT harmonic spectrum analysis using FFT transform algorithm changes the frequency and amplitude of the harmonic analysis, the use of graphical analysis results.
005
- 用DFT（FFT）对信号进行频谱分析，离散傅里叶变换（DFT）对有限长时域离散信号的频谱进行等间隔采样，频域函数被离 散化了，便于信号的计算机处理。 -Using DFT (FFT) spectral analysis of the signal
FourierTransform
- 对图像进行二维快速傅立叶变换及傅立叶反变换，并输出图像的频谱图和相位图-Consult a reference book for Fast Fourier Transform (FFT), and then develop a program that can compute and display the two-dimensional Discrete Fourier Transform (amplitude and phase spectra) of a digital image.
discrete-Fourier-transform
- 1、用Matlab产生正弦波，矩形波，并显示各自的时域波形图； 2、进行FFT变换，显示各自频谱图，其中采样率、频率、数据长度自选，要求注明； 3、绘制三种信号的均方根图谱； 4、用IFFT回复信号，并显示恢复的正弦信号时域波形图。 -1, using Matlab to generate sine wave, square wave, and shows the respective time-domain waveform 2, FFT transform, disp
FFTaJFre
- 算法主要针对桥梁拉索索力频谱法测试应用 1、调用FFT进行快速傅里叶变换； 2、获取变换后峰值； 3、通过峰值和设计基频比较，取得最接近这几基频的结果-Algorithm main bridge cable force spectrum method for testing an application, call the FFT fast Fourier transform 2, to obtain a peak after the transformation 3, by c
fftchange
- 本例子清晰表达了傅里叶变换的基础及FFT变换的 要领，能清楚的了解FFT变换，观察频谱特征。-This example clearly expresses the foundation and essentials Fourier Transform FFT transform, can clearly understand the FFT transform, observed spectral characteristics
practiselkj
- 本例很好的解释了FFT变换的功能，例程简单易懂，能够很好的用于理解FFT，观察信号频谱。-In this case a good explanation of the function of FFT transform routines easy to understand, can be very good for understanding the FFT, observe the signal spectrum.
MCZT
- 该代码能够实现改进的线性调频Z变换的功能，取代FFT变换能够起到细化频谱的作用。-The code can achieve improved chirp Z transform function, replace the FFT spectrum can play a role in refinement.
doFFTplot
- 对信号进行离散傅立叶变换，完成对信号的频谱分析-fft analysis
versionOK
- 音乐魔方：对音频信号进行采集，通过FFT变换得到频谱信息，将频谱信息在LED阵列上显示。-Music Cube: an audio signal acquisition, spectral information obtained by FFT transform, the spectral information is displayed on the LED array.
sin_fft
- 自己编写的一个正弦函数频谱的估计，利用FFT函数实现，有详细注释，方便理解，附带仿真图一张-A sine function spectrum estimate their preparation, the use of FFT function implementation, detailed notes, easy to understand, with a simulation map