Description: 运用matlab工具对语音信号处理的几个方面：短时能量、端点检测、和功率谱及短时傅立叶变换特性作了简单的分析。-use Matlab tool for voice signal processing areas : short-term energy and endpoint detection, and the power spectrum and the characteristics of short-time Fourier transform with a simple analysis. Platform: |
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Author:王珠 |
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Description: 关于信号处理中傅立叶变换的MATLAB函数，可以与FFT进行对比，运算速度比较快。-on Signal Processing Fourier transform function MATLAB, compared with the FFT. Operational speed is faster. Platform: |
Size: 2048 |
Author:liuyue |
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Description: 1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。
2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。
离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。-1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved. Platform: |
Size: 3072 |
Author:深蓝 |
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Description: 快速傅立叶变换的程序，附有试验用数据，希望对大家有所帮助-Fast Fourier Transform procedure, with test data, and they hope to help everyone Platform: |
Size: 2048 |
Author:johnny zhang |
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Description: 一维向量的离散短时Fourier变换函数。函数名：stft，输入：要处理的一维数组，加窗：矩形窗，窗口宽度：20。-One-dimensional vector of discrete short-time Fourier transform function. Function name: stft, enter: To deal with the one-dimensional array, plus a window: rectangular windows, window width: 20. Platform: |
Size: 1024 |
Author:高言 |
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Description: 图像压缩去噪增强锐化程序，供大家参考。
包括：数字图像矩阵数据的显示及其傅立叶变换
二维离散余弦变换的图像压缩
采用灰度变换的方法增强图像的对比度
采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
图像的自适应魏纳滤波
运用5种不同的梯度增强法进行图像锐化
图像的高通滤波和掩模处理
利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理
利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-Sharpen Image Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment Platform: |
Size: 11264 |
Author:张悦庭 |
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Description: Generation of signal with extra parameters
Detection using
Fast Fourier Transform Algorithm
Goertzel Algorithm
Digital Filtering (FIR Filter bank)
Platform: |
Size: 63488 |
Author:dairy |
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Description: 基于傅立叶变换的数字图像水印嵌入程序源码-Based on the Fourier transform of digital image watermark embedding process source Platform: |
Size: 2525184 |
Author:lee |
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Description: 用Fourier变换求取信号的功率谱---周期图法
用Fourier变换求取信号的功率谱---分段周期图法
用Fourier变换求取信号的功率谱---welch方法
功率谱估计----多窗口法（multitaper method ,MTM法）
功率谱估计----最大熵法（maxmum entmpy method,MEM法）
功率谱估计----多信号分类法（multiple signal classification,music法）Fourier transform to strike a signal to the power spectrum - the cycle of plans
Fourier transform to strike a signal to the power spectrum - Sub-cycle Method
Fourier transform to strike a signal to the power spectrum --- welch method
Power spectrum estimated more than window ---- Law (multitaper method, MTM)
---- Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM)
---- More than the estimated power spectrum signal classification (multiple signal classification, music)-To strike a signal with Fourier transform power spectrum- periodogram to strike a signal with Fourier transform power spectrum- Sub-periodogram with Fourier transform power spectrum of the signal to strike-welch method of power spectrum estimation multi-window method (multitaper method, MTM method) Maximum entropy power spectrum estimation method (maxmum entmpy method, MEM law) power spectrum estimation multi-signal classification (multiple signal classification, music law) Fourier transform to strike a signal to the power spectrum- the cycle of plans Fourier transform to strike a signal to the power spectrum- Sub-cycle Method Fourier transform to strike a signal to the power spectrum- welch method Power spectrum estimated more than window Law (multitaper method, MTM) Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM ) More than the estimated power spectrum signal classification (multiple signal classification, music) Platform: |
Size: 2048 |
Author:walkinghill |
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Description: 用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图
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
3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱
4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图
-Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Make the rms signal of the three maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform Platform: |
Size: 1024 |
Author:river |
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Description: 大点数 快速傅立叶变换 用Matlab编程实现 运行很好-Great points Fast Fourier Transform with Matlab programming to run good Platform: |
Size: 8192 |
Author:赵俊 |
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Description: 这是用来仿真四通道计算全息的程序，采用了二元傅立叶变换-This is used for simulation of four-channel computer-generated hologram of the procedures, the use of the dual Fourier Transform Platform: |
Size: 1024 |
Author:lilie |
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Description: 摘 要 运动模糊恢复就是利用运动模糊退化的某种先验知识来重建或恢复原有图像 在运动模糊的点扩散函数未知的情况下
: 。 ,
估计运动模糊的点扩散函数是运动模糊恢复的前提和关键 从傅立叶变换的角度对匀速直线运动模糊图像的点扩散函数在频域
。
论证了点扩散函数在频域内的零点特性及模糊图像两次傅立叶同态变换后的方向特性 并提出了利用这中的特点做了理论分析,些特性进行运动模糊方向估计的方法及两种模糊距离的估计方法 实验结果证明了所提出方法的有效性-Abstract motion blur is to use motion blur to restore the degradation of some prior knowledge to rebuild or restore the original image in the motion blur point spread function of the unknown circumstances:. , It is estimated that the motion blur point spread function is a prerequisite for the restoration of motion-blurred and critical perspective from the Fourier transform of the uniform linear motion blurred image of the point spread function in the frequency domain. Demonstrated that the point spread function of the zero in the frequency domain characteristics and the two blurred images after Fourier transform with the direction of state properties and proposed use of the characteristics of this has done a theoretical analysis, some characteristics of the estimated direction of motion-blurred and the two kinds of fuzzy distance estimation results proved the effectiveness of the proposed method Platform: |
Size: 956416 |
Author:zy |
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Description: A matlab function that calculates the inverse short term Fourier transform with adjustable parameters. Platform: |
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Author:sam |
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Description: This package contains script to calculate aliasing for given time domain signal. Script to plot in time domain the function: x(t)=A0cos(2pif0t)+A1cos(2pif1t)
where fs1=300 Hz and fs2=150 Hz (sampling rate)
A0 and A1 are amplitude s signal (armónicos).
f0 is the maximun component in frecuency of the signal to sample,
when it shows X(t) signal with a sampling frecuency 300 Hz,
we will see Aliasing :)
It s because we aren t meetting with the Nyquist Theorem, because we don t choice Fs>=2FNy Fs(Sampling Frec) FNy(Frec Nyquist) to sample aplying fft(fast fourier transform) with at least 600 Hz.
By actinio --vjgonzalezg@gmail.com-This package contains script to calculate aliasing for given time domain signal. Script to plot in time domain the function: x(t)=A0cos(2pif0t)+A1cos(2pif1t)
where fs1=300 Hz and fs2=150 Hz (sampling rate)
A0 and A1 are amplitude s signal (armónicos).
f0 is the maximun component in frecuency of the signal to sample,
when it shows X(t) signal with a sampling frecuency 300 Hz,
we will see Aliasing :)
It s because we aren t meetting with the Nyquist Theorem, because we don t choice Fs>=2FNy Fs(Sampling Frec) FNy(Frec Nyquist) to sample aplying fft(fast fourier transform) with at least 600 Hz.
By actinio --vjgonzalezg@gmail.com-- Platform: |
Size: 1024 |
Author:actinio |
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Description: 用快速傅里叶变换进行电力线谐波分析的一篇文章，大家可以-Fast Fourier Transform with the power line harmonic analysis article, we will look Platform: |
Size: 721920 |
Author:刘小溪 |
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Description: 传统的傅立叶变化只能分析时域、频域图，而小波变化能进行时频分析，对信号进行更好的处理。(The traditional Fourier transform can only analyze the time domain and frequency domain diagram, while the wavelet transform can carry on the time-frequency analysis and better deal with the signal.) Platform: |
Size: 10240 |
Author:又一
|
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