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Description: 混合基FFT,直接编译链接就可以了。
基2、3、5、6、7、8等-Mix-base FFT
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Size: 6144 |
Author: mayun |
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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: 8点FFT的数字信号处理实现，主要是蝶形运算-8 point FFT implementation of digital signal processing, mainly butterfly
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Size: 13312 |
Author: liu lei |
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Description: OFDM下行的仿真1、产生要传输随机数；
2、进行调制；
3、串并转换；
4、进行IFFT操作（代码中有用到共轭对称向量的IFFT为实数进行简化计算）；
5、增加循环前缀；
6、并串转换；
7、输出前滤波；
8、增加信道噪声（加性高斯白噪声）；
9、接收端串并转换；
10、去除循环前缀；
11、进行FFT变换；
12、信号解调；
13、误比特率计算；
-OFDM downlink simulation 1, have to be transmitted random number 2, the modulation 3 series and transforms 4, the IFFT operation (code useful to conjugate symmetric vector of the IFFT of real numbers to simplify calculations) 5, the increase in circulating prefix 6, and string conversion 7, the output before the filter 8, increased channel noise (additive white Gaussian noise) 9, the receiver string and conversion 10, removal of cyclic prefix 11, the FFT transform 12 , the signal demodulation 13, bit error rate
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Size: 112640 |
Author: 刘洋 |
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Description: 在FPGA中实现FFT的8篇很好的文章，很有启发-FFT in the FPGA to achieve the eight very good article, very enlightening! ! !
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Size: 1202176 |
Author: gglight |
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Description: FFT中 旋转因子8位复数乘法的VHDL程序，3次实数乘法和3次加减法运算，-FFT twiddle factor of the VHDL program, 3 times real multiplication and subtraction 3
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Size: 1024 |
Author: cxl |
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Description: TI 公司最新C6678 8核DSP FFT协处理器 FFTC核的使用程序-For c6678 FFTC
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Size: 1568768 |
Author: fc |
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Description: 2D FFT in matlab. inputs are original data and block size. ex) block size = [8 8]
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Size: 231424 |
Author: nishina |
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Description: 2D FFT and 2D IFFT in matlab. inputs are original data and block size. ex) block size = [8 8]
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Size: 231424 |
Author: nishina |
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Description: clear all close all clc
x=ones(1,8)
fx=fft(x,512)
z=abs(fx)
k=0:length(z)-1
plot(k,z)
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Size: 4252672 |
Author: xiayongming |
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Description: 基于FPGA的8点fft的verilog实现-8 point of fft verilog implementation
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Size: 5120 |
Author: 王蕊 |
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Description: 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，恢復輸入信號正確的“重新排序”，已是自由。為了保持傳統的2D信號可以餵從演示Lenna.bmp文件。 （Lenna見下面）。-This "slow" but simple One- and Two-dimensional FFT Demo can be downloaded from here (source included).
The Demo generates a 1D or 2D input signal (with size 256 or 256x256) which is displayed in the left bitmap (8 bit gray palette).
The signal contains a centered rectangular pulse (pulse size from 2 to 256). Since the input is real, the FFT routine ftu() produces biased spectrum. If "Reorder" is checked, the zero frequency is shifted to the center of the spectrum by swapping data from the respective quadrants. The complex result is displayed in the right bitmap in one of four possible modes: Module, Phase, Real part or Imaginary part. If "InvFFT" is checked, an inverse FFT is applied on the spectrum, the result being the recovered input signal. However, to recover the input signal correctly "Reorder" has to be unchecked. In order to keep up with tradition, the 2D signal may be fed from Lenna.bmp file which comes with the Demo. (See about Lenna below).
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Size: 302080 |
Author: 蕭柏堂 |
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Description: 下面是找到了基2 FFT蝴蝶旋转因子的Matlab代码。代码计算的 A 相角，在图1（c）和图2（c）所示，旋转因子的因素。我建议你开始8点DIT的FFT图1（a）通过运行代码然后运行图2中的代码为16点DIF FFT（一）。-Below is the Matlab code to find radix-2 FFT butterfly twiddle factors. The code computes the A phase angle factors that are used in the twiddle factors as shown in Figure 1(c) and Figure 2(c). I suggest you start by running the code for the 8-point DIT FFT in Figure 1(a) and then run the code for the 16-point DIF FFT in Figure 2(a).
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Size: 1024 |
Author: 张成 |
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Description: 使用两个8点FFT完成64-point FFT-64-point FFT
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Size: 3072 |
Author: Zhang |
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Description: 仿真FFT参数对采用FFT算法分析信号频谱的影响。产生频率分别为2Hz，2.05Hz的正弦波合成信号，采样
频率＝10Hz。根据（8-8）式，要实现分辨两个单频信号的目的，DFT的序列长度必须满足 。分别仿真3种
情况下的FFT变换：１）取 的128点数据，计算FFT；２）将128点 以补零的方式加长到512点，计算FFT；
3）取512点 ，计算FFT-fft simulation matlab
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Size: 1024 |
Author: 孙范瑞 |
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Description: ti公司提供的2812的FFT计算例程 8点采样，1.2ms进行一次快速傅里叶变换，再利用事件管理器的定时器1生成10kHzPWM波-ffr calculating based on TMSLF2812 Using 8 points, takes about 1.2 ms to execute one FFT.
Sets up General Purpose Timer 1 to generate events at 10 kHz.
Will produce 10 kHz output on T1PWM and T1PWM pins
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Size: 2048 |
Author: Philips |
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Description: DIY音乐频谱显示，用8*8点阵显示，有FFt算法。-DIY music spectrum showed that using 8* 8 dot matrix display, with FFt algorithm.
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Size: 2092032 |
Author: 摩登恒 |
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Description: FFT-based FIR Filter is a unit to perform the finite impulse responce filter based on the Fast Fourier Transform (FFT). It performs the convolution of the unlimited signal sequence with the synthesized impulse responce of the length of Ni=N/2 samples, where N = 64, 128, 256, 512, 1024. The data and coefficient widths are tunable in the range 8 to 18. -FFT-based FIR Filter is a unit to perform the finite impulse responce filter based on the Fast Fourier Transform (FFT). It performs the convolution of the unlimited signal sequence with the synthesized impulse responce of the length of Ni = N/2 samples, where N = 64, 128, 256, 512, 1024. The data and coefficient widths are tunable in the range 8 to 18.
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Size: 212992 |
Author: 简戴 |
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Description: 8 Point FFT using Matlab Simulink
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Size: 29696 |
Author: Ryan |
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Description: 8 point DIT FFT in verilog hdl 可直接使用-8 point DIT FFT in verilog hdl
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Size: 1024 |
Author: 王 |
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