▍1. WPandEMD
小波包和EMD方法对信号分析后的频谱图比较,可以对EMD的运行参数进行修改。(Spectrum comparison of Wavelet package and EMD)
小波包和EMD方法对信号分析后的频谱图比较,可以对EMD的运行参数进行修改。(Spectrum comparison of Wavelet package and EMD)
小波包和EMD方法对信号分析后的频谱图比较,可以对EMD的运行参数进行修改。(Spectrum comparison of Wavelet package and EMD)
应用Matlab进行小波包对时变谐波分析的代码(Matlab Applications for wavelet packet on time-varying harmonic analysis)
应用Matlab进行小波包对时变谐波分析的代码(Matlab Applications for wavelet packet on time-varying harmonic analysis)
小波变换对电能质量暂态信号的分析和运用,包含电压骤升、骤降等(Wavelet transform for power quality analysis and the use of transient signals, including voltage dips, swells, etc.)
利用matlab中的小波变换函数,对图像进行小波降噪,并分析降噪效果。(The wavelet transform using matlab function, the image wavelet noise reduction, and analyze the noise reduction effect.)
利用matlab中的小波变换函数,对图像进行小波降噪,并分析降噪效果。(The wavelet transform using matlab function, the image wavelet noise reduction, and analyze the noise reduction effect.)
旨在用C语言程序和MATLAB程序通过MUSIC算法对“信号提取”进行实现,结果证明程序运行效果良好,分辨率较高(Designed with C language program and MATLAB program through the MUSIC algorithm " signal extraction" for implementation, the results show the program running well, higher resolution)
基于墨西哥草帽小波函数进行连续小波变换的matlab变换程序,望对大家有所帮助。(Mexican hat wavelet function based on continuous wavelet transform matlab transformation process, hope to be helpful.)
基于小波变换的随机噪声降噪的matlab 主要运用的方法有软阈值去噪法和硬阈值去噪法(Based on wavelet transform matlab random noise and noise reduction methods are mainly used soft thresholding method and hard thresholding method)
形态成分析(MCA)用于图像分割与去噪的实验代码(Form into analysis (MCA) for image segmentation and denoising experimental code)
说明: 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 method of combining the SVD wavelet transform its outer ballistic measurement data in excluding outliers were studied. Observational data on wavelet decomposition, wavelet decomposition of the approximate combined component and detail component to achieve the phase space reconstruction, as the input observation matrix SVD method, based on singular entropy increment standards, singular value filter, according to the inverse transform heavy SVD structure of the original signal. This approach overcomes the Hankel matrix phase space construction method data endpoint distortion. Wavelet decomposition component of reconstruction phase space satisfy orthogonality, to further improve the SVD for data noise reduction and outlier detection accuracy. Simulation data and experimental data processing results prove the effectiveness of this approach.)
小波包分解包括重构信号问题程序,这是一个matlab程序,经过测试可用,数据采用自己的数据。(Including the reconstructed signal wavelet packet decomposition problem program, which is a matlab program, tested available data using their own data.)
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)
设定雷达和目标参数,选取目标中心与雷达的距离为参考距离,采取dechirp方式接收信号,直接对回波信号进行二维FFT得到的成像结果,并采用Keystone法(即重采样法)校正越距离单元徙动。(Set the radar and the target parameters, select the center of the target and the distance from the radar as the reference distance, take reception dechirp signal, directly on the echo signals, the imaging results obtained by the two-dimensional FFT, and the Keystone method (i.e., re-sampling) Vietnam correction range cell migration.)
对雷达信号进行预处理。输入设定的LFM信号,进行数字正交解调以及匹配滤波最后是相参积累。从而得到LFM信号频谱图,解调后的频谱,想干积累输出等结果。 (The radar signal preprocessing. Input set of LFM signal, digital quadrature demodulation and matched filtering the last coherent integration. LFM signal spectrum, the demodulated spectrum accumulated wanted output results.)
实现信号希尔伯特变换,以及小波变换,小波变换要求数据长度是2的N次幂(The signal Hilbert transform and wavelet transform, wavelet transform requires that the data length 2 is N th)
作为一种新型的有效的版权保护手段,数字水印技术倍受人们的关注。数字水印主要是通过在原始资料中嵌入秘密信息——水印,来证实资料的所有权。本文介绍了数字水印技术的基本原理及其分类,然后对数字水印讨论了一种基于LSB的数字图像水印算法,最后利用MATLAB7.6对这一算法进行了实现。(As a new effective means of copyright protection, digital watermarking technology much attention. The digital watermark secret information- the watermark embedded in the raw data, to prove ownership of the data. This article describes the basic principles of their classification of digital watermarking technology and digital watermarking digital image watermarking algorithm based LSB, and finally the use of this algorithm matlab7.6 achieve.)
小波包的程序源代码,对于小波包的理解很有用,非常适合初学者!(Wavelet Packet program source code, useful for the understanding of wavelet packet, very suitable for beginners!)
该程序可以实现对信号的小波分解、重构及各频带能量比分析(The program can achieve signal wavelet decomposition and reconstruction and the band energy than)