搜索资源列表
harrwavelet
- 基于harr小波变换原理，一共5个m文件，一个主程序，4个函数，matlab6.1平台，运行成功。-Harr wavelet transform based on the principle of a total of 5 m file, a main program, four function, matlab6.1 platform, running successfully.
wavelet_max
- 小波模极大值原理在图像边缘提取和信号奇异点检测中的应用-Wavelet Modulus Maxima Principle in Image Edge Detection and Signal Singularity Detection
wavelet_transformation
- 简单的小波压缩变换工作的原理如下: 信号和求导信号,形成的求同信号序列和求导信号序列的长度均为输入信号的长度的一半.如果输入信号序列是A={a(1),...,a(n)}求同信号S={s(1),...,s(n/2)}和求异信号D={d(1),...,d(n/2)}的计算方式为: for i=1,...,n/2 s(i)=a(2*i-1)+a(2*i) d(i)=a(2*i-1)-a(2*i) 例如输入信号是: 5,2,3,2,5,7,9,6
2001_IMVSP_Wavelet
- 整数多小波变换原理 2001经典论文 来自国际会议-integer multiwavelet transform principle
orthogonalwavelettransform
- 介绍了传统线谱增强器(ALE)结构,分析了ALE的工作原理。ALE线谱增强的原因是降低了基本 输入和参考输入中的噪声相关性,由于对参考输入的权系数调整无法对噪声进行合理估计,正弦信号得到增强。 -Introduced the traditional linear spectrum enhancer (ALE) structure, an analysis of the working principle of ALE. ALE-ray spectrum is due to enhance
bobianhuan
- 1.加深对离散时间信号的DTFT基本概念的理解。 2.熟悉DFT变换原理及其基本性质。加深对DTFT和DFT相互关系的理解 3.熟悉FFT算法原理和FFT子程序的应用 4.掌握用MATLAB计算离散时间信号的DTFT和DFT的方法，FFT函数的用法。 -1、Deepen their understanding of discrete-time signal DTFT understanding of basic concepts. 2、DFT-familiar with th
matlab_wavelet
- 使用matlab演示一维小波和二维小波变换的过程,了解小波变换的原理-Matlab demo using the one-dimensional wavelet and two-dimensional wavelet transform the process of understanding the principle of wavelet transform
kl
- 实现k-l变换，代码短，效率高，适合初学者进行上机练习，原理简单，比较容易懂和实现。-Achieve kl transformation, the code short, high efficiency, suitable for beginners to practice on the machine, simple in principle, relatively easy to understand and achieve.
PCAexample
- principle component analysis example
MATLAB_Wavelet
- MATLAB下小波变换的原理教程及示例 包括：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-MATLAB wavelet transform under the principle of tutorials and examples include: one-dimensional linear non-linear approximation, two-dimensional linear non-line
quedinginhaopinpufenxi
- 课件主要讲解了周期信号，非周期信号脉冲信号的原理以及MATLAB的编程-Courseware mainly explained the periodic signals, aperiodic signals, and the principle of pulse MATLAB programming
PSK
- PSK信号载波相位符号定时联合估计,载波环采用判决反馈环，去除噪声平方损耗，定时模块采用早迟原理， 里边有详细的注释，希望对大家有用。点击即可运行。-PSK signal carrier phase joint estimation of symbol timing, carrier ring using decision feedback loop, remove the noise square loss, using early-late timing module principle
youyulvboqi
- 理解有源滤波器的工作原理、性能特点。学习有源滤波器的设计方法。-Understand the working principle of active filter performance characteristics. Learning active filter design methods.
Cyclic_correlation_symbol_rate_estimation
- 求符号率通常有小波分析发和循环自相关法，本文讲述了循环自相关求符号率的原理。-Symbol rate requirements of wavelet analysis are usually made and the cyclic autocorrelation method, this paper describes the cyclic autocorrelation principle of seeking the symbol rate.
z3
- 文章介绍了小波变换方法、原理，在故障诊断中的应用，介绍对故障特量的提取，诊断故障奇异点-This paper introduces the wavelet transform method, principle, application in fault diagnosis, introduction to special volume of the extraction of fault diagnosis of singular point of failure
Wavelet-Transform-of-picture
- 介绍彩色数字图像基础及图像数据的压缩，小波变换原理及实现-Describes the basis of color digital images and image data compression, wavelet transform principle and implementation
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
Wavelet-transform
- 基于小波变换的图像拼接。 本程序利用小波变换的原理实现图像的上下，左右以及斜方向的无缝拼接-Wavelet-based image stitching. The procedure to achieve the principle of wavelet transform image from top to bottom, left and right oblique direction and seamless
gear-diagnosis
- 介绍小波变换的基本原理 针对农机产品变速箱齿轮出 现故障时产生的非稳态脉冲信号特点 选择合适的小波 应用 小波变换准确地诊断变速箱齿轮裂纹故障 证明了小波分析的 应用价值"-It is introduced for the cardinal principle of wavelet transformation. It is aimed at no steady state pulse signal feature when agricultural machinery produc
pulse-code-modulation-principle
- 掌握脉冲编码调制原理； 理解量化级数、量化方法与量化信噪比的关系 -Grasp the pulse code modulation principle Understanding of quantization levels, and quantitative methods to quantify the relationship between SNR