Description: 用MATLAB对一图象分别用不同小波分解，观察高低频部分进行重构，比较重构误差，再进行阈值消噪，比较消噪前后图象。-MATLAB right one image with different wavelet decomposition, high-low-frequency observations for some remodeling, more reconstruction error and then de-noising, compared before and after image denoising. Platform: |
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Author:刘丽丽 |
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Description: 提出了一种离散小波变换域实现图像水印的方法。这种算法充分利用小波变换的特点,把原始图像及水印图像塔式分解,在多分辨率分解后的相同的频段来嵌入水印信息。该方法也利用了人眼视觉特性,算法简单而有效。实验证明,该算法较好地解决了水印不可见性与鲁棒性之间的矛盾,对常见的水印攻击都有较强的鲁棒性。-presents a discrete wavelet transform domain image watermarking method. This algorithm using wavelet transform characteristics, the original image and the watermark image tower decomposition, Multiresolution decomposition in the same frequency band to the embedded watermark. The method has also been used HVS, the algorithm is simple and effective. Experiments show that the algorithm can solve the watermark is visible with the robust nature of, common to have more attacks watermark robustness. Platform: |
Size: 151552 |
Author:yy |
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Description: 针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法，采用一定的策略将两副源图像进行融合，从而避开了小波的反变换，因此融合后的图像具有比小波变换法更好的融合效果。-multi-focus image fusion, this paper introduces the wavelet transform algorithm, Although the wavelet transform non-redundant, the loss of high-frequency components are smaller, better integration effect, But there are two major drawbacks : First, the shift variability and the second is the integration of image reconstruction will be subject to a number of external factors. Therefore, there would still be some marginal loss of information, in order to overcome the wavelet transform of the above shortcomings, can be used based on wavelet decomposition and the point spread function PSF model combining the fusion method. The first pair of different images ratchet two sampling wavelet decomposition, and to maintain the same source image size. Then all of its direction, the scale of high-freque Platform: |
Size: 1024 |
Author:廖鑫鹏 |
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Description: 此为基于二代提升小波的阈值压缩算法源码，其中可以设置小波变换的分解层数，使用的小波名称，及各层阈值设置计算公式中的参数。并将低频系数转化为十六进制，方便在其上进一步压缩，如采用Huffman压缩等，程序思路清楚，附有完整的注释，可以使用多种小波，并且很好得体现了二代小波的思想，对于初学小波者帮助很大。-based on the second generation of this upgrade wavelet compression algorithm threshold source, which can set wavelet transform decomposition level, the use of wavelet name, threshold levels and set the formula for calculating the parameters. And low-frequency coefficients into hexadecimal facilitate its further compression, such as the Huffman compression. procedures ideas clearly, with the integrity of the Notes, you can use a variety of wavelet, and reflected very well in the second generation wavelet thinking, For beginners who wavelet of great help. Platform: |
Size: 12288 |
Author:孙金凤 |
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Description: 信号与信息处理——阵列信号处理DOA估计的matlab算法，这是线性调频信号的稀疏分解算法，针对频率的变化性能-Signal and information processing- array signal processing matlab algorithm for DOA estimation, which is a linear FM signal sparse decomposition algorithm, for the frequency of changes in performance Platform: |
Size: 1024 |
Author:彭华 |
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Description: matlab 源码,基于小波变换的语音信息隐藏的实现,对原始语音信息和水印信息都经过三层小波分解处理后,将水印信息的低频信号嵌入原始语音信号的部分高频信号部分实现隐藏.源代码不仅给出隐藏过程,并且给出的在随机噪声,重采样,信息压缩情况下的抗攻击特性.源代码清晰有注释-matlab source code, based on wavelet transform voice messages hidden realize, the original voice information and watermark information after a three-treatment, after wavelet decomposition, the watermark information embedded in the low-frequency signals of the original speech signal realize some hidden part of high-frequency signals. source code is given not only to hide the process, and given in random noise, resampling, compression of information in case of anti-attack features. source code has a clear Notes Platform: |
Size: 1024 |
Author:桑圣洁 |
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Description: matlab 下经典的利用wavedec2,appcoef2,detcoef2对图像进行分解提取高低频系数完成图像压缩和重构的源程序.-matlab under the classic use of wavedec2, appcoef2, detcoef2 image decomposition extraction coefficient of the completion of the high-low frequency image compression and reconstruction of the source. Platform: |
Size: 1024 |
Author:桑圣洁 |
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Description: 用MatLab实现图像压缩。以真彩图像的处理为例，对由它转换来的彩色索引矩阵进行二进小波多层分解，对低频近似的系数矩阵作相应的截取处理，以及优化索引图像的彩色图。-Realize image compression using MatLab. To deal with true color images for example, by its conversion to the color index matrix dyadic wavelet decomposition of multi-storey, low-frequency approximation of the coefficient matrix for the corresponding interception treatment, as well as the optimization of image color map index. Platform: |
Size: 446464 |
Author:郝鹏翼 |
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Description: 利用matlab编写的小波分解分频和除躁程序，分为高低频率，并除去噪声，达到较好的效果。-Prepared using matlab wavelet decomposition impatient frequency and in addition to procedures, divided into high and low frequency, and to remove noise, to achieve good results. Platform: |
Size: 1024 |
Author:jiangjiuju |
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Description: 一份retinex算法的code，其中利用pca 做 色度分解，利用改进的bilateral滤波器进行低频和高频分解-Retinex algorithm in a code, which made use of PCA colority decomposition, the use of improved bilateral filter for low frequency and high-frequency decomposition Platform: |
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Author:裘振 |
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Description: dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order. Platform: |
Size: 3072 |
Author:zhouhao |
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Description: 一种自适应chirplet分解的快速算法
针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。
-Chirplet an adaptive decomposition algorithm for rapid adaptive signal decomposition Chirplet many unknown parameters, is more difficult to achieve the characteristics of the literature [1] proposed a new fast algorithm Chirplet decomposition. The algorithm calculating the signal function of the second phase, its energy distribution to be concentrated in the signal modulation frequency curve on the conclusions, this time through the spectral peak detection can be obtained simultaneously Chirplet tune the frequency, timing and magnitude of the estimated center then through the solution line technology of FM frequency and the width of the initial estimates, the simulation results verify the effectiveness of the algorithm. Platform: |
Size: 80896 |
Author:nanzhewan |
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Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the Platform: |
Size: 199680 |
Author:vinay |
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Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the Platform: |
Size: 346112 |
Author:vinay |
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Description: 提出了一种新的基于离散小波变换(DWT)与奇异值分解(SVD)相结合的数字图像水印算法。该算法将原始图像作小波分解并将小波分解得到的低频子带进行分块，对每一块进行奇异值分解后，选取每块中最大的奇异值通过量化的方法嵌入经过Arnold置乱后水印信息。-A new wavelet transform based on discrete (DWT) and Singular Value Decomposition (SVD) combination of digital image watermarking algorithm. The algorithm for wavelet decomposition of the original image and wavelet decomposition low-frequency sub-band are divided into blocks, each a singular value decomposition, the selection of each block by the largest singular value methods to quantify Arnold scrambled after embedding the watermark . Platform: |
Size: 38912 |
Author:久久 |
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Description: 优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。
本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了HHT的基本原理和利用HHT检测电能质量多扰动信号的实现方法。仿真试验表明该方法可以实时检测扰动的起止时刻，持续时间和扰动幅度，适用于电能质量多扰动的监测和辨识系统。
-Hilbert-Huang Transform(HHT) is a new non-stationary signal processing technology，including the Empirical Mode Decomposition(EMD) and Hilbert spectral analysis．In this method，arbitrary non-stationary signals was divided into a series data sequence with different characteristic scales after the first EMD treatment，each sequence is called an intrinsic mode function(IMF)，and then each IMF component gained corresponding the Hilbert spectrum though Hilbert spectrum analysis，a summary of all Hilbert spectrum assembled to the spectra of the original signal．In essence，this method is a stable processing for non-stationary signal，which decomposed the different fluctuations or trends in the signal in rum，and represented the frequency content of the original signal using the final instantaneous frequency and energy．
This paper study a method to detect power quality disturbances based on the HHT，in which the principle and the realization of the HHT and the realization of power quality disturbance Platform: |
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Author:NBB |
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Description: 对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。-Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods. Platform: |
Size: 2048 |
Author:gab |
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Description: 本文介绍了基于MATLAB软件在《信号与系统》课程教学中的仿真实验,通过抽样信号的表征、周期方波信号的傅立叶级数分解与合成、余弦信号的相加与相乘、RLC带通滤波器的频率特性等仿真实验,说明了将MATLAB应用于教学实践中的重要作用和意义。-This article describes the MATLAB-based software in the " Signals and Systems" course teaching simulation, by sampling the signal characterization, cycle square wave signal of the Fourier series decomposition and synthesis, and the sum of cosine signal is multiplied, RLC bandpass filter the frequency characteristics simulation, MATLAB used to illustrate the important role of teaching practice and significance. Platform: |
Size: 210944 |
Author:fenghaixiang |
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Description: 实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示-Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition reconstructed from the coefficients in the low frequency and high frequency display high-frequency and low frequency restored by the inverse wavelet transform signal multi-layer one-dimensional decomposition extraction coefficient of low frequency and high frequency reconstruction of 3-layer low-frequency coefficients reconstruction of the first layer of high-frequency signal 1,2,3,4,5 reconstruct the original signal and display Platform: |
Size: 1024 |
Author:王艳 |
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Description: 代码提供了一种分析多通道电生理记录中交叉频率耦合的新框架-------基于特征分解的广义交叉频率耦合框架gedcfc，共五种算法，并包括脑电信号数据集供大家验证算法。(The code provides a new framework for analyzing cross-frequency coupling in multi-channel electrophysiological recordings - gecfc based on eigen-decomposition-based generalized cross-frequency coupling framework, a total of five algorithms, and includes EEG signal data sets for everyoneVerification algorithm.) Platform: |
Size: 3107840 |
Author:白晓晨 |
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Search - frequency decomposition in matlab