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小波变换程序源代码，可以处理一维数据和二维图像数据。通过小波变换将低频信息提取出来。-wavelet transform source code, can handle data and one-dimensional two-dimensional image data. Through the wavelet transform to low-frequency information is extracted.
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Ridge_WindowFT窗口傅立叶变换的脊
CohenDist Cohen类时频分布-Ridge_WindowFT window Fourier Transform ridge CohenDist Cohe n type time-frequency distribution
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通过设计VC程序对简单的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-through the design process to a simple one-dimensional signal with a Ga
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完成图像的灰度变换，正交变换，空域频域滤波，边缘检测，膨胀腐蚀，小波变换，水印，以及各种编码。-completion of the gray image transform, orthogonal transformation airspace frequency domain filtering, edge detection, corrosion expansion, wavelet transform, watermarks, and the various coding.
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此函数用于求得多重小波变换后的低频小波系数，在matlab自带的函数基础上改的。-this function to obtain multiple wavelet transform the low-frequency wavelet coefficients, In Matlab built-in function on the basis of reform.
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先产生一个信号。然后对信号进行小波变换，得到低频和高频系数-first produce a signal. Then the signal wavelet transform, and low-frequency and high-frequency coefficients
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S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。-S transform Matlab source, Applied Signal and several examples to illustrate how the use of Transform's's transformation can be use
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本程序用于实现一层小波变换，即在频域对图像进行处理-the procedures used to achieve a layer of wavelet transform, in the frequency domain for image processing
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小波变换是一个当今比较常用的图像处理方法，它可以很方便实现图像空间域到频率域的转换！-wavelet transform is a more commonly used in today's image processing method, which can facilitate the achievement of image space domain to the frequency domain conversion!
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带点中文注释的小波变换，计算频率谱用的，适合初学者。,A bit of English Notes wavelet transform, used in calculating the frequency spectrum, suitable for beginners.
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给定函数，变换到频域内，比较短时傅里叶变换大、小视窗和小波变换的区别，生成时频分析图,A given function, transform the frequency domain, more short-time Fourier transform, and a small window and the difference between wavelet transform to generate time-frequency analysis
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以C sharp編程快速富里葉變換頻率成分濾波頻率方位濾波-In C sharp programming Fast Fourier Transform frequency components filtered frequency direction filter
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借助小波变换在时频分析上的优点，提取地面运动目标的回波信号特征在目标识别中加以运用-With wavelet transform in time-frequency analysis of the advantages of extracting ground moving target echo signal characteristics to be used in target recognition
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快速傅里叶变换，用csharp编写的，学习学习学习学习。里边有一个类，是老外写的-Fast Fourier transform, written using csharp, learning learning learning learning. Inside a class, are written by foreigners
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小波变换在数字图像中的应用，主要分析了基于小波变换的图像分解和图像压缩的技术,并运用Matlab 软件对图像进行分解,然后-This paper analysed the technologies of the picture decomposition and compression basecd on wavelet transform ,and decomposing the picture using Matlab ,and then picked up the low frequenc
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Gabor变换可以达到时频局部化的目的：它能够在整体上提供信号的全部信息而又能提供在任一局部时间内信号变化剧烈程度的信息。简言之，可以同时提供时域和频域局部化的信息。-Frequency localized Gabor transform can achieve the purpose: it can provide all the information of the signal on the whole and they can provide the intensity of the s
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利用二维Mallat小波分解原理，对一幅标准图像进行3级分解，获取小波高/低频系数，并分别用低频分量LL1、LL2、LL3小波系数进行图像重建，分别计算这三种情况和原始图像比较地PSNR-2D Mallat wavelet decomposition principle, a standard image 3 decomposition, to obtain of Wavelet high/low frequency coefficients, and the low-frequency com
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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
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时频分析，用于信号的时频分析，短时傅里叶变换、小波、脊线提取、一些信号的生成，等等。-Time-frequency analysis, time-frequency analysis for signal, short time Fourier transform, wavelet ridge line extraction, generate some signal, and so on.
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时频变换工具箱，其中包括小波变换，短时傅立叶变换，WVD变换等时频分析的重要工具-An important tool when frequency transform toolbox, including wavelet transform, short time Fourier transform, WVD transform frequency analysis
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