搜索资源列表
wavalet
- 通过小波变换对图像信号进行分解，去噪，压缩再重构，得到处理后的图像-Images using wavelet transform signal decomposition, denoising, compression and then reconstructed to obtain the processed image
xiaobobao-BPwangluo
- 小波包和BP神经网络在齿轮箱故障诊断中的应用，本文对齿 轮箱振动信号应用小波包分解提取故障特征向量，进一步用特征向量训练前向传播BP人工神经网络。-xiaobobao、BP、gearbox fault detection
xiaobobao-BP-zhoucheng-zhenduan-
- 基于小波包特征向量与神经网络的滚动轴承故障诊断。：基于故障轴承的特征提取，提出了将小波包分析与神经网络结合的滚动轴承故障诊断方法。对滚动轴承信号进行3层小波包分解，构造小波包特征向量作为故障样本，用训练好的BP神经网络进行故障诊断，试验结果表明，该方法能够有效地诊断出滚动轴承的故障类型。-Fault Diagnosis of Rolling Bearings Based on W avelet Packet Energy Eigenvector and Neural Network
dip
- 小波分析在图像处理中有非常重要的应用，包括图像压缩，图像去噪，图像融合，图像分解，图像增强等。-Wavelet analysis in image processing has very important applications, including image compression, image denoising, image fusion, image decomposition, image enhancement, etc.
li5-39
- 先进行提升小波变换，然后使用提升小波进行图像的分解和重构-Be carried out on lifting wavelet transform, and then use the images to enhance the wavelet decomposition and reconstruction
xiaobobp
- 小波包分解及bp神经网络训练程序，可用于进行模式识别-bp neural network training program, can be used for pattern recognition
qiyidiandingwei
- 采用小波对信号进行分解，然后根据不同的分解层次的小波系数，判断信号的奇异点位置-Wavelet decomposition of the signal, and then broken down according to different levels of wavelet coefficients, determine the location of the signal singularity
wavelet-reconstruction
- 重构是用分解得到的多分辨率下的小波系数，将多尺度小波合成原信号.不是分解完了马上重构的，中间可能有去噪的过程啊，压缩的过程.-Reconstruction is under multi-resolution decomposition of the wavelet coefficients, the wavelet multi-scale synthesis of the original signal reconstruction is not immediately broken down
xiaoboquzao
- 采用小波去噪的方法对语音信号进行分解和重构，进而提取有效成分，实现信号的去噪-Wavelet denoising method of voice signal decomposition and reconstruction, and then extract the active ingredients, for signal denoising
小波去噪程序
- 局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。Matlab程序如下：
利用小波变换进行图像的分解和重构
- 利用haar小波，对图像实现分解和重建。对于研究图像的小波域特征有着非常重要的作用！
wavelet
- 用bior3.5小波对图像进行三层分解，得到压缩后的图像(the picture is decomposed by the wavelet bio3.5)
模极大值降噪算法
- 可以实现对心电信号中模极值点的提取，软硬阈值算法的对比实验，以及小波的多层次分解(It can extract the extreme point of the ECG signal)
xiaobo
- 利用小波变换，通过设置阈值对图像进行去噪。 首先对图像用小波进行2层分解，然后通过设置硬阈值和软阈值的方法，对图像高频部分去噪。(The wavelet transform is used to denoise the image by setting threshold. Firstly, the image is decomposed into 2 layers by wavelet, and then the high frequency part of the image is d
synsq_toolbox_v1
- 对信号分析实现同步挤压小波，能进行时频分析，进行信号时频分解和重构，时频分析效果很好(Synchrosqueezed wavelet transforms toolbox V1.0)
curvelet_first_generation
- 小波变换就一个信号分解为几个信号，小波变换大量应用于图像处理、谐波分析及故障诊断中。(Wavelet transform decomposes a signal into several signals. Wavelet transform is widely used in image processing, harmonic analysis and fault diagnosis.)
ITFA
- 通过同步压缩小波变换，实现信号的分解和重构，效果优化小波变换(The signal is decomposed and reconstructed by synchronous compression wavelet transform, and the effect is optimized by wavelet transform)
新建 WinRAR 压缩文件
- 通过小波技术对一维信号进行分解与重构，比较变换前后的图像，获取有用的信息(Wavelet technology is used to decompose and reconstruct one dimension signal, compare the image before and after the transformation, and obtain useful information)
multi_resolution__analysis
- 实现时间序列信号的多尺度分解，小波模极大值分析。(multiresolution analysis with the time sequence data,)
spiht程序 包含小波变换 熵编码
- 利用matlab来实现图像压缩，spiht算法作者原版代码，包含了二进制熵编码以及小波变换，自适应分解等级，加入了示例图片。(The use of MATLAB to achieve image compression, SPIHT algorithm author original code, including binary entropy coding and wavelet transform, adaptive decomposition level, joined the sampl