搜索资源列表
Untitled21
- 小波包进行信号去噪的m文件，在matlab中可以直接调用-Wavelet packet signal de-noising m file in matlab can be called directly
WT1
- 通过小波包变换进行工业系统中的故障识别，去噪-Wavelet Transform
chapter1
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。 -Zhang Defeng matlab wavelet analysis source code
chapter2
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter3
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter4
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter5
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter6
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
denoise_self
- 基于matlab程序对声音信号进行去噪处理，通过小波包处理及小波分析结合-Matlab program based on the sound signal denoising by wavelet packet processing and wavelet analysis combined
xiaoboshenjingwangluo
- 提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征 相应轴承故障的频带能量 并采用 BP 神经网络进行训练和故障识别 通过 MATLAB 进行了仿真经试验验证该方法能够有效地识别出轴承故障-The wavelet package is adoptted to De-noise and extract band energy that represent bearing fault. and the BP neural network is adopting to t
wavelet
- 关于图像的小波和小波包的阈值去噪的matlab语言的实现-About the image of wavelet and wavelet packet threshold denoising matlab language implementation
xiaobobao_tuxiang
- 基于小波包的图像去噪的matlab源码 请多指教-Denoising based on wavelet packet source matlab please enlighten
xiaobobaohuanhualvboquzao
- 小波包变换去噪和滤波去噪的word，可以直接剪切到MATLAB。有分析-Wavelet Packet Denoising and filtering denoising word, you can cut directly to MATLAB. Some analysts
wavelet-wavelep-filter
- 本程序实现小波和小波包滤波，，对高频部分进行处理对一维信号进行处理，得到重构去噪后的信号，代码调试通过-This procedure realize wavelet and wavelet packet filtering, and the high frequency part of the process of one dimensional signal processing, reconstruction after denoising signal, code debugging th
wavelet-transform
- 一维小波变换对信号进行去噪，小波包变换，对地震记录进行去噪-A one-dimensional wavelet transform for signal denoising, wavelet packet transform, the noise of seismic record
qoulen_v65
- 基于多相结构的信道化接收机，sar图像去噪的几种新的方法，小波包分析提取振动信号中的特征频率。- Channelized receiver based on multi-phase structure, Several new methods sar image denoising, Wavelet packet analysis to extract vibration signal characteristic frequency.
kiesun
- 小波包分析提取振动信号中的特征频率，可以动态调节运行环境的参数，sar图像去噪的几种新的方法。- Wavelet packet analysis to extract vibration signal characteristic frequency, Can dynamically adjust the parameters of the operating environment, Several new methods sar image denoising.
faifun
- 未来线路预测,分析误差,小波包分析提取振动信号中的特征频率，sar图像去噪的几种新的方法。- Future line prediction, error analysis, Wavelet packet analysis to extract vibration signal characteristic frequency, Several new methods sar image denoising.
bengyie
- 三相光伏逆变并网的仿真，小波包分析提取振动信号中的特征频率，sar图像去噪的几种新的方法。- Three-phase photovoltaic inverter and network simulation, Wavelet packet analysis to extract vibration signal characteristic frequency, Several new methods sar image denoising.
nengsao
- 小波包分析提取振动信号中的特征频率，sar图像去噪的几种新的方法，IMC-PID是利用内模控制原理来对PID参数进行计算。- Wavelet packet analysis to extract vibration signal characteristic frequency, Several new methods sar image denoising, The IMC- PID is using the internal model control principle for PID p