搜索资源列表
XIAOBO
- 小波变换的学习心得以及一些算法文档,对初学者有用-The learned wavelet transform algorithm document, useful for beginners
New-Folder-(4)
- In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Dis
xiaobozengqiang
- 弱信号增强处理是探地雷达数据处理中的一个重要环节，而且是探地雷达数据处理难以解决的问题。弱信号在两 方面使其不易于直接从探测剖面上识别出来：一是本身信号强度小且受到随机噪声的干扰；二是存在浅部强信号的明显反 差，视图上难以识别。本文根据小波变换的特征提出一种信号增强方法，即多尺度小波变换信号增强法。-Ground-penetrating radar based on wavelet transform weak signal enhancement
Wavelets
- 主要描写的是小波变换的方法,针对不同的小波变换算法来实现小波变换 -This code main for the wavelet transform
Active-noise-control
- 有源噪声控制(ANC)主要基于LMS算法,但在处理宽带噪声信号和低信噪比情况下,效果不好.影响控制效果的主要原因是输入信号的自相关分布.而小波变换具有消除信号自相关的作用.因此将小波变换引入有源噪声控制(ANC)是解决问题的一种办法-Active noise control (ANC) is mainly based on the LMS algorithm, but ineffective in dealing with the situation of the broadband noise
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- 基于混沌序列和浮点小波变换的盲水印很好的研究生论文-Graduate thesis based on the blind watermarking good chaotic sequence and the floating-point wavelet transform
matlab_dwt_swt
- 主要是基于matlab进行小波变换的源代码程序-Based on matlab wavelet transform source code program
Noise-reduction-algorithm
- 对设备进行故障诊断的主要方法就是测量故障 设备的振动或噪声, 并对其进行分析, 从而找出故障原因。然而振动或噪声信号中除了对分析故障有用的信息外, 还有大量的噪声成分。只有有效地滤除噪声, 才能获得有用的信息, 从而得到可靠的分析结论。传统的滤噪方法是将被噪声污染的信号通过一个滤波器, 滤掉噪声频率成分。但对于短时瞬态信号、非平稳信号、含宽带噪声的信号, 采用传统处理方法有着明显的局限性。小波变换为信号去噪提供了一种有效的方法, 小波阈值去噪具有传统方法不可比拟的优越性。但是小波分解的频域重
signal
- This a simple example of noise signal, it can be use in discret dyadic wavelet transform.
XIAOBO-RONGHE
- 小波变换 介绍了各种融合规则 以及评价方法 并不是源程序-Wavelet transform a variety of fusion rules as well as evaluating the method is not the source
An-introduction-to-Wavelet-Transform
- Introduction to wavelets ,,,check it put plz
xiaobo
- 基于小波变换的脉搏波信号去噪，我用过，效果非常好，设计思路新颖-Pulse wave signal de-noising based on wavelet transform, I used, the effect is very good, novel design concept
wavelet-paper
- IEEE paper for wavelt transform
FINAL__PHYSIONET_DATA
- Ecg analysis using wavelet transform
EDGEDETE
- 小波变换的图像处理，基于小波变换的图像边缘检测代码-Wavelet transform image processing, based on wavelet transform image edge detection code
Scalable-Indexing-Schemes-of-Color-Image-Archives
- Background of Content Based Image Retrieval(CBIR) Analysis of Previous Work Results of Existing Methods Scalable Image Indexing and Retrieval Proposed Indexing System(overview) wavelet transform and HSL color conversion Feature Space(Ener
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- 提出了一种结合SVD的小波变换方法，对其在外弹道测量数据中的野值剔除进行了研究。对观测数据进行小波分解，将小波分解后的近似分量和细节分量组合实现相空间重构，作为SVD方法的输入观测矩阵，根据奇异 熵增量准则，对奇异值进行筛选，根据SVD逆变换重构原信号。这一方法克服了Hankel矩阵相空间构建方法数据 端点失真问题。以小波分解后分量重构的相空间可以满足正交性，进一步提高了SVD进行数据降噪和野值检测的精度。仿真数据和试验数据处理结果证明了这一方法的有效性。-Proposed a meth
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- 对结构响应信号进行连续复Morlet小波变换，根据小波系数的模极大值提取小波脊线，识别结构的瞬时频率；为降低噪音的影响，采用奇异值分解(SVD)方法进行降噪处理，建立了一种基于连续复小波变换识别时变系统 瞬时频率的方法。用一个具有时变刚度的弹簧质量系统的数值算例验证方法的有效性，随后设计了一个时变拉索 结构试验，分别对索施加线性和正弦变化的拉力，同时测试结构的冲击响应，运用提出的方法成功地识别了索的瞬时频率。数值与试验结果表明，提出的方法能有效地识别时变结构的瞬时频率，且识别方法具有一定
Improved-Feature-Extraction-algorithm-Using-WDT.r
- wavelet transform in speech recognition will be briefly reviewed. we describe how the features are extracted, different algorithm, weighting will be introduced-wavelet transform in speech recognition will be briefly reviewed. we describe h
SAR-image-despeckling
- SAR图像降斑，本文中，我们结合了小波变换进行图像的分解，并在分解的高频部分采用阈值去噪。-SAR image speckle reduction, this paper, we combine the wavelet transform for image decomposition and decomposition of the high-frequency part of the use thresholding.