Description: 基于离散小波变换的自适应滤波算法分析与研究基于离散小波变换的自适应滤波算法分析与研究-DWT-based adaptive filtering algorithm analysis and research based on the discrete wavelet transform adaptive filtering algorithm analysis and research Platform: |
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Author:莲藕 |
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Description: All three, Discrete Wavelet Transform (DWT) - Singular
Value Decomposition (SVD) and Adaptive Tabu Search
(ATS) have been used as mathematical tools for embedding
data into an audio signal. In this paper, we present a new
robust audio watermarking scheme based on DWT-SVD and
ATS. After applying the DWT to the cover audio signal, we
map the DWT coefficients, and apply the SVD, we search for
the optimal intensity of audio watermarking by using the
ATS. Experimental results show that the watermarking
method performs well in both security and robustness to
many digital signals processing, such as filtering,
cropping, mp3 and random noise. Platform: |
Size: 267264 |
Author:Rishi |
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Description: ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高
噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波
系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回
波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。-There are much background and mixture noise in the course of ultrasonic wave transmission under deep
sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors，
the useful signals and the high noise signals are combined together，which seriously affects the distance measurement
precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the
wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance
measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful
for noise reduction in signals．Its precision is higher than that of the adaptive filtering method． Platform: |
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Author:王华 |
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Description: 文基于小波分析的特点，提出了一种对信号进行多重小波
变换的自适应去噪法，该方法不仅克服了小波去噪软硬阈值法的局限性，而且解决了自适应滤波中参考信号选取难的
问题，将该方法用于脉搏信号降噪，得到了满意的去噪效果。-The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only overcomes the limitations of hard and soft thresholding method of wavelet de-noising, and resolve the reference signal adaptive filtering Select the difficult problem of the method is used to the noise of the pulse signal, and been satisfied with the denoising effect. Platform: |
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Author:jw |
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Description: 给定两幅图形view1，view2,选用在小波域内的自适应滤波的拼接算法，实现两幅图像的拼接。利用与小波相关的拼接算法来实现两幅图像的拼接，对利用小波变换来进行图像处理有更深的理解。-Given two graphics The view1, view2 stitching algorithm selection in wavelet domain adaptive filtering to achieve the splicing of the two images. Stitching two images with wavelet stitching algorithm, and a deeper understanding of the use of wavelet transform for image processing. Platform: |
Size: 2048 |
Author:Haibin Zhang |
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Description: Image enhancement is the indispensable features in image
processing to increase the contrast of the remote sensing data
and to provide better transform representation of the remote
image data. This paper presents a new method to improve the
contrast and intensity of the image data. The method employs
that the discrete wavelet transform with Kernel adaptive
filtering. Platform: |
Size: 1055744 |
Author:misspoly |
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Description: （1）心电信号预处理
心电信号是一种低频且含有众多噪声干扰的信号。针对心电信号存在的
噪声干扰问题，本文采用了平稳小波变换结合双变量阈值的方法对其进行去 噪处理。通过对心电信号进行八层平稳小波变换，得到不同的小波系数，采
用双变量阈值函数表达式对其进行处理得到新的小波系数，最后进行逆平稳
小波变换实现小波重构，完成心电信号去噪。Matlab 仿真结果显示，本文算
法的准确率较高，信噪比达到 84.5934dB。 （2）心电信号波形识别
反映心电信号的特征部分往往是信号的突变点，因此需要对心电信号的
突变点进行识别检测。本文通过采用二次 B 样条小波对去噪后的心电信号
进行四层平稳小波变换，在第四尺度上对心电信号的 R 波进行波形检测。 在第二尺度上以正确检测 R 波为基础，实现 Q 波和 S 波的波峰、起始点及
终止点检测。为了保证检测精度，本文设置了误检漏检机制。最后在第五尺 度实现了 P 波和 T 波波峰、起始点及终止点检测。仿真结果表明本文的算
法检测精度较高，准确率达到 99.81%。(This paper proposes an efficient method of ECG signal denoising using the adaptive dualthreshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method isto bring together the advantages ofthese methods in order to improve the filtering ofthe ECGsignal. The aim of the proposed method is to deal with the EMG noises, the power lineinterferences and the high frequency noises that could perturb the ECG signal. This algorithm is based on three steps of denoising,) Platform: |
Size: 3146752 |
Author:雨季96 |
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Search - Wavelet Transform Adaptive Filtering