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Description: 利用VB进行FFT（快速傅立叶）变换。-use VB FFT (Fast Fourier) transformation.
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Size: 2048 |
Author: 鲁班 |
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Description: 64-point radix-2 fft module
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Size: 1024 |
Author: Hem |
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Description: 已经验证过的64点FFT的Matlab源代码-64 points of FFT algorithm by been verified through matlab tool
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Size: 5120 |
Author: Mr. Bean |
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Description: DVB-T transmite 8K code rate 3/4 QAM-64 in Matlab (Simulink)-DVB-T transmite 8K code rate 3/4 QAM-64 in Matlab (Simulink)
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Size: 17408 |
Author: Aleks |
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Description: (1) 产生数值为±1的用户随机数据；给出Matlab下对应的模块；
(2) 产生并给出64×64的Walsh矩阵，作为用户接入的扩频码；
(3) 利用上述一个用户的扩频码和用户数据演示扩频过程；给出Simulink工作框图；
(4) 利用FFT，计算并画出基带数据和扩频信号的频谱（在一个图中给出）；
-(1) value of ± 1 generated random data users given under the corresponding Matlab module (2) generation and gives the Walsh 64 × 64 matrix, as the user access to the spreading code (3) the use of the a user' s spreading code and spread spectrum user data presentation process given work Simulink block diagram (4) the use of FFT, calculate and draw the base-band spectrum data and the spread spectrum signal (given in a diagram)
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Size: 9216 |
Author: 芊屹 |
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Description: 对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。
取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节：
1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率谱信号通过mel滤波器组，得到相应的25个功率值；9.对这些功率值取自然对数；10.对这些值取离散作弦变换；11.将得到的值去掉直流分量，取其它值作为MFCC参数。
-Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation.
Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links:
1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.
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Size: 13312 |
Author: 赵欣 |
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Description: this matlab code about 64 point fft.
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Size: 1024 |
Author: sachin |
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Description: this program is radix-4 fft for 64 point
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Size: 340992 |
Author: mani |
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Description: FFT VC++ 源码 50HZ 1024点 电压波形MATLAB验证 绝对正确 易修改为32点 64点128点 256点512点1024点等 C文件可直接应用于工程，非常好的C源码.rar-FFT 1024 point 512 point 128 point 64 point 32point
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Size: 641024 |
Author: 高志安 |
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Description: 基于matlab的FFT算法运用；64点和128点的FFT的幅度谱-64-point and 128-point FFT amplitude spectrum use matlab FFT algorithm
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Size: 1024 |
Author: 林鸿运 |
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Description: Matlab程序，GUI窗口
用FFT程序计算有限长度正弦信号y=sin(2*pi*f*t) ,0<=t<=N*T-FFT program calculate the finite length of the sinusoidal signal y = sin (2* pi* f* t), 0 < = t < = N* T respectively the DFT results obtained and analyzed and discussed in the following cases: a) the signal frequency f = 50Hz, the sampling the credited with N = 32, the sampling interval T = 0.000625sb) signal frequency f = 50Hz, the sampling points of N = 32, the sampling interval T = 0.005sc), the signal frequency f = 50 Hz, the sampling points N = 32, the sampling interval T = 0.0046875sd) signal frequency f = 50Hz, the sampling points of N = 32, the sampled interval T = 0.004se) signal frequency f = 50Hz, the sampling points of N = 64, the sampling interval the T = 0.000625sf) signal frequency f = 250Hz, the sampling points N = 32, the sampling interval T = 0.005sg) c) a signal-post 32, to do a 64-point FFT
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Size: 12288 |
Author: moumiao |
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Description: OFDM例子，16QAM星座图，64点FFT变换。基于matlab程序仿真。-OFDM example, 16QAM constellation diagram of a 64-point FFT.
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Size: 9216 |
Author: edwindu |
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Description: FFTW 64位FFTW算法库，MATLAB 就是调用这个库-FFTW 64BIT FFT
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Size: 2833408 |
Author: 罗兰 |
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Description: 纯C实现的FFT,与matlab计算结果完全一样。点数必须为8,16,32,64,128,256- C implementation of FFT, and matlab calculation results are exactly the same. 8,16,32,64,128,256 points must be...
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Size: 24576 |
Author: 王斌 |
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Description: 实现64点的快速傅里叶运算，并用modelsim、matlab仿真。(Achieve fast Fourier operations at 64 points, and use Modelsim, matlab simulation.)
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Size: 20699136 |
Author: chenmm
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Description: FFT and IFFT 64 point radix-4
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Size: 1024 |
Author: anas
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Description: 比较DFT和FFT的运算时间。（1）自行选择进行计算的序列（或产生随机序列）。
（2）利用计时函数tic、toc，计算点数N=64、128、256、……(IT IS A SAMPLE.Compare the computing time of DFT and FFT. (1) select the sequence to compute (or generate random sequences).
(2) using the timer functions tic and TOC to calculate the number of points N=64, 128, 256,......)
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Size: 8192 |
Author: 郭若若
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Description: 编程实现二维8*8图像块的DFT，DCT变换
输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间
编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block
Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time
The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)
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Size: 3072 |
Author: 雪鹊
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Description: 基于分布式算法，实现64点基8的快速傅里叶变换的仿真(Based on distributed algorithm, 64-point base 8 fast Fourier transform simulation)
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Size: 761856 |
Author: 安琪是个男孩 |
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Description: 任务1。一维测试信号的FFT
计算和可视化长度为B=64的下列测试信号的傅立叶变换的幅度：
任务2。二维测试信号的FFT。计算和可视化尺寸为128*128的下列测试信号的傅立叶变换的幅度：
任务3。图像的FFT 在以下处理之后，计算下列图像“Lena”的傅立叶变换的幅度并将其可视化：1)向测试图像添加一个加性高斯噪声(选择您选择的噪声的参数)。 2)使用大小为3*3和5*5的盒式滤波器对测试图像进行平滑。 3)应用Sobel梯度掩模寻找梯度图像的x和y分量。 4)应用拉普拉斯口罩。比较处理前后图像的FFT幅度。对原始图像单独地而不是顺序地应用处理。
任务4。测试图像“Lena”的频域图像滤波
1)计算FFT，在频域应用理想低通滤波器（LPF），进行逆FFT，显示恢复图像。根据您的选择为LPF选择截止频率
2)计算FFT，在频域应用理想高通滤波器，进行逆FFT，显示恢复图像。使用与LPF相同的截止频率
3)求出经过低通和高通理想滤波后的复原图像之和。将图像与原始图像进行比较。(task1
task2
task3
task4)
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Size: 2048 |
Author: ZZZZhao35 |
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