▍1. segtool.tar
用于时频分析,其中包括短时傅里叶变换、小波变换、脊线提取以及一些信号的生成等。(For time-frequency analysis, including short-time Fourier transform, wavelet transform, ridge extraction and generate some signals and so on.)
用于时频分析,其中包括短时傅里叶变换、小波变换、脊线提取以及一些信号的生成等。(For time-frequency analysis, including short-time Fourier transform, wavelet transform, ridge extraction and generate some signals and so on.)
wavelet transform,continuous wave let transform,discrete wavelet transform
对图像进行小波变换的分解和重构的代码,包含以为信号的处理。( The image decomposition and reconstruction of wavelet transform code, including that the processing of the signal.)
通过学习小波变换原理,自行编写小波函数,不用matla自带小波函数(Wavelet transform principle, by learning to write wavelet function, need not matla with wavelet function)
很好的继续教育教材,提升素质必备啊!不可错过!十分的好(Good continuing education materials, enhance the quality of essential ah!)
此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )
非抽样小波变换的程序,可以自己更改使用,去噪效果较好( UWT s program, you can change the use of their own, better de-noising)
基于小波变换的去雾处理程序,附有实验图片,可以运行的,希望对大家有帮助!(Based on wavelet transform to fog handler, attached to the experimental images, you can run, I hope it can help you!)
离散小波变换的简单程序,适合初学者学习,附有通用函数。(Simple procedures discrete wavelet transform, suitable for beginners to learn, with common functions.)
Harr小波具有紧支撑、零调和性和优良的正交性等优点,因此选择它作为小波变换的基函数。对采样数据进行4层小波包变换得到16维的特征样本。(Harr wavelet has compact support, zero reconcile and excellent orthogonality, etc., so choose it as the base function of wavelet transform. 4 layers of sampled data wavelet packet transform feature samples 16 dimensions.)
一个在国外大牛对小波变换的讲解,通俗易懂(A large foreign cattle in explaining the wavelet transform, straightaway)
在理解了离散小波变换的基本原理和算法的基础上,通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换,从而得到小波分解系数;再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用,以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)
利用小波变换检测回波,经过labview显示,实现了很好的界面效果(Using wavelet transform to detect echoes through labview display interface to achieve a good effect)
小波分析在心电信号去噪中的应用,小波变换在心电图数据处理中的应用研究(Wavelet analysis of ECG signal denoising)
基于小波变换的信号去噪技术,简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)
基于小波变换的信号去噪技术,简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)