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mdiFFT
- FFT 频域变化并显示 方波 三角波 正弦 及随机序列 -FFT frequency domain shows changes sine square and triangular wave random sequence
FFTmatlab
- 做FFT只能看出信号在0到分析频率（采样频率的一半）之间的相对分布，或者说得到以采样频率归一化的频率。 采样频率即取样频率，指每秒钟取得信号样本的次数。所以，采样频率就是1/（delta t），其中delta t为连续采两次信号的时间间隔。 采样频率/采样点数=频率分辨率。 -Signal do FFT can only be seen in the 0 to the analysis frequency (half the sampling frequency) relative
FFT
- 由已知表达式画出原始波形和它的功率谱，并编制一个互相关函数程序，要求提取特定频率的成分，画出变换过程中的波形和功率谱。-Drawn from the known expression of the original waveform and its power spectrum, and the preparation of a cross-correlation function procedure that requires the extraction of specific freque
ImageTransform
- c# 写的图像时频变换程序。包括DCT,FFT,DWT,WHT以及对应的逆变化。-c# write image frequency conversion program. Including inverse DCT, FFT, DWT, WHT, and the corresponding changes.
AAFFT
- 数字信号处理中经典的FFT算法实现，对理解信号处理帮助很大-A Fast Fourier Transform [FFT] method for frequency sparse functions. Recovers the k most energetic frequencies hidden in a bandwidth-N function in k*polylog[N] time.
FFT
- 一个小波变换的程序，适合于控制领域的初学者，是一个较简单的频域程序。-A wavelet transformation program, suitable for control areas of beginners, is a relatively simple frequency domain program.
An-improved-Hilbert-Huang-method-for-analysis-of-
- The Hilbert–Huang method is presented with modifications, for time-frequency analysis of distorted power quality signals. The empirical mode decomposition (EMD) is enhanced with masking signals based on fast Fourier transform (FFT), for separat
fft2dDemo_Simple
- 這一個“慢”，但簡單和兩維FFT的演示可以從這裡下載（包括源）。 演示生成的一維或二維的輸入信號（256或256×256大小），這是顯示在左邊的位圖（8位灰度調色板）。 信號包含一個中心的矩形脈衝（脈衝大小從2到256）。因為輸入的是真實的，FFT的日常工聯會（）產生偏見的頻譜。如果“重排”被選中，零頻率頻譜的中心轉移到從各自的象限交換數據。複雜的結果顯示在正確的位圖，在可能的方式有四種：模塊，相位，實部或虛部。如果“InvFFT”被選中，逆FFT頻譜，結果是恢復輸入信號應用。然而
fft
- 本程序用具进行傅立叶变换，将时间离散的信号，变换到频率域-This procedure appliances, Fourier transform, time-discrete signal, transformed to the frequency domain
fft
- 快速傅立叶变换，本函数可以快速实现信号的频域变换和分析-Fast Fourier transform, this function can quickly realize the signal in the frequency domain transform and analysis
bpskd
- 使用matlab实现的BPSK信号产生和加入噪声前后的频谱对比以及FFT测频和一阶差分法测频对比-Using matlab to achieve the BPSK signal generator and adding noise before and after the spectrum contrast and FFT frequency measurement and first-order differential method to measure the frequency cont
FFTbianhuan
- 对已知的以为数据进行FFT变换，得到数据的频谱图，进而可分析出幅值和相角。-Known that the data FFT, the frequency spectrum of the data, which can be analyzed magnitude and phase angle.
FFT
- FFT使用范例。 x=0.5*sin(2*pi*15*t)+2*sin(2*pi*40*t)。采样频率fs=100Hz，分别绘制N=128、1024点幅频图。-FFT usage examples. x = 0.5* sin (2* pi* 15* t)+2* sin (2* pi* 40* t). Sampling frequency fs = 100Hz, were drawn N = 128,1024 point amplitude-frequency diagram.
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
FFT
- 利用matlab对信号做FFT变换，提取频率幅值，并以图形方式显示-Using matlab to do FFT transform the signal to extract the frequency amplitude, and graphically display
FFT
- 可以将幅值与时间的波形关系图转换成幅值与频率的图形-Amplitude and time waveform diagram can be converted into a graph of amplitude and frequency.
experiment3
- 自编1d数字信号的频域分析，包含FFT/DCT等，是经典的课程实验程序-Frequency domain analysis self 1d digital signal, including FFT/DCT, is a classic course experimental procedure
dwtofdm
- Here, wavelets are used in Orthogonal frequency division multiplexing. Wavelets are small waves having amplitude increase starting zero and reduces back to zero. In conventional OFDM, IFFT is used at the transmitter side and FFT is used at receiver.