此函数用于研究Mallet算法及滤波器设计
此函数用于消噪处理
分解的高频系数采用db9较好,即它的消失矩较大
分解的有用信号小波高频系数基本趋于零
对于噪声信号高频分解系数很大,便于阈值消噪处理-this function for research Mallet filter algorithm design and function for Denoising decomposition of high-frequency coefficients Terminal better that it's vanishing moments larger decomposition of useful signal, high-frequency coefficients tends to zero for high-frequency signal noise decomposition coefficient great ease threshold Denoising Update : 2025-04-08
Size : 1kb
Publisher : wangli
我编写的利用trous(多孔算法)实现小波变换,利用‘db4’小波函数分解两层,其中卷积运算采用频域的fft算法,给出了仿真信号的处理结果。-prepared by the use of trous (porous algorithm) to achieve wavelet transform, use 'db4' wavelet decomposition layers, which used convolution operators fft the frequency domain algorithm, given the signal processing simulation results. Update : 2025-04-08
Size : 1kb
Publisher : 高锋
小波变换算法,用于多种信号处理,C++编写,非常有用-wavelet transform algorithm used in a variety of signal processing, C prepared very useful Update : 2025-04-08
Size : 121kb
Publisher : cxlyuli
图像去噪是图像处理领域中的一个重要内容,图像去噪总是需要在抑制噪声和保持图像细节之间做折衷。小波变换作为一种新的信号处理工具,在信号去噪领域已得到了成功的应用。在传统的基于正交小波变换的图像去噪方法中,重建图像在边缘附近容易产生振荡从而造成边缘失真,噪声较严重时还会产生模糊边缘;利用冗余小波变换,可以克服正交小波变换去噪存在的不足, 进一步提高算法的去噪性能-Image denoising image processing is an important area of content, image denoising is always the need to suppress noise and maintain a compromise between image detail. Wavelet transform as a new signal processing tools, in the field of signal de-noising has been applied successfully. In the traditional orthogonal wavelet transform based image denoising methods, the reconstructed image at the edge near the oscillation and thus prone to cause the edge of distortion, noise will also produce more serious when the fuzzy edge the use of redundant wavelet transform, orthogonal wavelet can be overcome Transform Denoising deficiencies, further improving the performance of denoising algorithms Update : 2025-04-08
Size : 1.71mb
Publisher : 李胖子
基于matlab的新型信号处理算法集。包括模拟退火、遗传算法、反向传播神经网络、小波变换等等,对于统计信号处理很有参考价值。-Matlab based on a new type of signal processing algorithms. Including simulated annealing, genetic algorithm, back-propagation neural network, wavelet transform, etc., for statistical signal processing useful reference value. Update : 2025-04-08
Size : 4.04mb
Publisher : caruchi
基于实数的二进制表示法,把CDF(Cohen,Daubechies and Feauveau)9/7双正交小波基的提升系数化为二进制,采用简单的移位一加操作代替结构复杂的浮点乘法器,从而实现了JPEG2000中9/7离散小波变换的定点计算.相对于浮点计算法,移位一加操作最大的优点是计算简单,特别易于超大规模集成电路实现,因而使硬件实时处理图像信号成为可能.实验仿真结果表明:在低压缩比的情况下,用移位一加操作重构的图像,其峰值信噪比(PSNR)只比浮点法低0.10 dB,当压缩比增大时,其PSNR值略好于浮点法.
关键词: 离散小波变换;定点计算;浮点计算法;提升;移位一加操作-Based on the real number of binary notation, the CDF (Cohen, Daubechies and Feauveau) 9/7 Biorthogonal wavelet enhancement factor into the binary, using a simple shift operation in place of one plus the complex structure of floating-point multiplier, in order to achieve the JPEG2000 9/7 discrete wavelet transform the fixed-point calculation. Compared with the floating-point calculations, shift operation of one plus the biggest advantages is the calculation is simple, especially vulnerable to the realization of ultra-large-scale integrated circuits, making real-time image processing hardware signal possible Update : 2025-04-08
Size : 221kb
Publisher : H Simon
智能天线技术是第三代移动通信系统的关键技术之一,也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性,存在多径衰落和时延扩展,因此造成了符号间串扰、同信道干扰、多址干扰等,这些干扰降低了链路性能和系统容量,智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论,然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论,用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术,对传统的相干干扰抑制方法-空间平滑法进行了分析,采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上,先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法,分析了信源数目过估计与欠估计情况下的MUSIC算法性能,提出一种改进算法,在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境,在分析MMUSIC算法的基础上,本文提出了基于低秩矩阵逼近法的改进MUSIC算法-In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique Update : 2025-04-08
Size : 4.24mb
Publisher : 王强
现代信号处理这本书中的MATLAB代码。现代信号处理这本书可谓同类图书中的经典,包含了小波,自适应算法等程序。-Modern signal processing MATLAB code in this book. Modern signal processing This book can be described as similar books in the classic, including the wavelet, adaptive algorithms and other procedures. Update : 2025-04-08
Size : 66kb
Publisher : yan
自适应联合小波去噪算法,是小波在图像处理中的一个应用,是学习信号处理的很好资料-Adaptive Joint wavelet denoising algorithm is a wavelet in image processing an application, is to learn good information signal processing Update : 2025-04-08
Size : 1.69mb
Publisher : guodong
语音信号处理中的,小波变换去噪基本算法的源程序,对初学者有一定的参考价值。-Speech signal processing, wavelet transform denoising basic algorithm of the source, for beginners with some reference value. Update : 2025-04-08
Size : 220kb
Publisher : qweqwe
(1)心电信号预处理
心电信号是一种低频且含有众多噪声干扰的信号。针对心电信号存在的
噪声干扰问题,本文采用了平稳小波变换结合双变量阈值的方法对其进行去 噪处理。通过对心电信号进行八层平稳小波变换,得到不同的小波系数,采
用双变量阈值函数表达式对其进行处理得到新的小波系数,最后进行逆平稳
小波变换实现小波重构,完成心电信号去噪。Matlab 仿真结果显示,本文算
法的准确率较高,信噪比达到 84.5934dB。 (2)心电信号波形识别
反映心电信号的特征部分往往是信号的突变点,因此需要对心电信号的
突变点进行识别检测。本文通过采用二次 B 样条小波对去噪后的心电信号
进行四层平稳小波变换,在第四尺度上对心电信号的 R 波进行波形检测。 在第二尺度上以正确检测 R 波为基础,实现 Q 波和 S 波的波峰、起始点及
终止点检测。为了保证检测精度,本文设置了误检漏检机制。最后在第五尺 度实现了 P 波和 T 波波峰、起始点及终止点检测。仿真结果表明本文的算
法检测精度较高,准确率达到 99.81%。(This paper proposes an efficient method of ECG signal denoising using the adaptive dualthreshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method isto bring together the advantages ofthese methods in order to improve the filtering ofthe ECGsignal. The aim of the proposed method is to deal with the EMG noises, the power lineinterferences and the high frequency noises that could perturb the ECG signal. This algorithm is based on three steps of denoising,) Update : 2025-04-08
Size : 3mb
Publisher : 雨季96