-
two-dimension-wavelet-transform
此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )
- 2015-02-01 14:20:31下载
- 积分:1
-
wtquzao
说明: 小波阈值去噪,用于对以为信号降噪处理,代码为matlab代码,亲测有效(Wavelet threshold denoising)
- 2019-06-21 09:20:45下载
- 积分:1
-
waveletanalysis
利用全局去噪和分层去噪实现信号的小波去噪,实现成功(Implementation of wavelet denoising, global denoising and level-dependent denoising)
- 2010-11-19 17:18:33下载
- 积分:1
-
Daubechies
java小波变换的实现,包括哈尔小波,以及在这基础上改进的小波实现。(The implementation of Daubechies wavelets.)
- 2012-03-27 11:14:14下载
- 积分:1
-
XIAOBOQUZAO
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)
- 2014-03-26 19:35:25下载
- 积分:1
-
voltage-sag-lacote
基于小波变换的电压暂降定位
利用模极大值原理实现暂降起止时刻的准确检测(voltage sag lacote based on wavelet transform
Used to achieve maximum modulus principle sag beginning and ending time of the accurate detection)
- 2020-11-21 11:19:36下载
- 积分:1
-
BackProjectionbyrao
多点目标 单站SAR的回波信号仿真以及BP后向投影成像
参数见合成孔径雷达成像——算法与实现一书表6.1
运行结果正确,注释比较详细(Percent more single station SAR point target echo signal simulation and backward projection imaging BP parameters, see synthetic aperture radar imaging- algorithm and implementation of a book Table 6.1 run result is correct, more detailed notes)
- 2020-10-28 22:19:58下载
- 积分:1
-
wavelets
基于小波变换的图像压缩编码,实现了多种小波变换,并且实现了12:1的高压缩率。(Based on Wavelet Transform Image Coding, to achieve a variety of wavelet transform, and achieved a high 12:1 compression ratio.)
- 2008-12-29 09:02:17下载
- 积分:1
-
【全美经典】小波十讲(Ingrid Daubechies 着)
《小波十讲(修订版)》主要内容简介:原书《小波十讲》(ten lectures on wavelets)是一本世界范围公认的经典学术名著,是当代数学著作中一本影响巨大的绝妙好书。(text book for wavelet analysis)
- 2018-04-07 16:47:09下载
- 积分:1
-
gaga
基于小波变换的ECG信号去噪系统设计,在信号采集时,身体的任一微小运动都会产生“基线漂移”,这是一种低频干扰,同时,由于肌电的存在又产生了高频的肌电噪声,由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除,就会影响下一步的信号处理。
综合运用数字信号处理的理论知识进行生物医学信号增强系统设计,实现ECG信号的去噪,从而加深对小波变换及其应用的理解,建立概念多分辨分析的概念,加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统,实现ECG信号的去噪。
(ECG signal denoising based on wavelet transform system design, signal acquisition, any small movement of the body will have a " baseline drift" , which is a low-frequency interference, while the high frequency due to the existence of the EMG muscle electrical noise due to the presence of electromagnetic field and the ECG signal mixed with a 50Hz power frequency interference. The noise is not removed, it will affect the next step in the signal processing. Use the theoretical knowledge of digital signal processing for biomedical signal enhancement system design to achieve the de-noising of ECG signal, so as to deepen understanding of the wavelet transform and its applications, to establish the concept of multi-resolution analysis of the concept, deepen the understanding of signal enhancement of the principle, the method and steps. The main elements of this design is the design of an ECG signal denoising based on wavelet transform denoising the ECG signals.)
- 2012-07-07 16:25:58下载
- 积分:1