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小波包变换的改进单子带重构,参考书籍杨建国著《小波分析及其工程应用》-Improved Subband Reconstruction of Wavelet Packet Transform.
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OFDM系统完整程序,小波/小波包变换在OFDM中的应用的程序。-Complete program of the OFDM system, wavelet/wavelet packet transform in OFDM applications program.
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基于小波包变换的去噪处理
全局阈值去噪图像
对图像进行平滑处理以增强去噪效果(中值滤波)-Denoising based on wavelet packet transform global threshold denoising image smoothing image enhancement and denoising effect (median filtering)
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Unix系统下,小波包变换的实现源码实例,,当然,稍作改动也可用于windows系统下。
-Unix systems, the instance of the wavelet packet transform source, of course, some minor changes can also be used in the windows system.
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为了进一步提高直接序列/跳频(DS/FH)扩频系统的抗干扰能力,基于小波包变换结合递归最小二乘算法设计
了一种变换域自适应干扰抑制算法,该算法采用小波包分解定位窄带干扰,递归最小二乘算法抑制窄带干扰。通过蒙特卡
罗仿真分析在增加抗干扰模块后,DS/FH系统工作在准静态时,在不同信噪比条件下抗窄带干扰性能。仿真结果表明:该
算法具有较强的自适应性以及抗窄带干扰能力,其性能优于传统的直接置零法,适用于多音干扰下的恶劣通信环境。-In order to further improve th
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利用小波包变换对信号进行分解及重构,对于初学者是一个很好的学习材料。-Wavelet packet transform signal decomposition and reconstruction, is a good learning materials for beginners.
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一种利用小波包变换进行盲信号分离的程序。-Program for blind source separation using wavelet packet transform.
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matlab小波包变换实现图像分割,含示例图像,分割结果较好-the matlab wavelet packet transform image segmentation, containing the sample image segmentation result is better
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读入xsl文件中的数据进行小波包变换并计算各层系数功率谱-Xsl file reads the data and calculate the wavelet packet transform coefficients of the power spectrum of each layer
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小波变换、小波包变换用于降噪,图像融合的样例-Wavelet transform, wavelet packet transform for noise reduction, image fusion sample
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3.1语音信号的同态处理和倒谱分析30
3.1.1同态处理的基本原理30
3.1.2复倒谱和倒谱31
3.2离散余弦变换34
3.3Mel频率倒谱系数的分析37
3.3.1Mel滤波器组37
3.3.2MFCC特征参数提取38
3.4小波和小波包变换43
3.4.1小波变换43
3.4.2小波包变换44
3.4.3小波包算法45
3.4.4MATLAB中一维小波和小波包变换函数46
3.4.5MATLAB语音信号小波和小波包变换的例子49
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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 t
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对信号进行小波包包变换并重构,并按自然顺序排列小波包变换后各层。-To signal wavelet package transform and reconstruction, and according to the natural order of each layer after wavelet packet transform.
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语音信号在其他变换域中的分析技术和特性,语音信号的同态处理和倒谱分析,离散余弦变换,小波和小波包变换-Speech signal analysis technologies and features in other transform domain, homomorphic processing voice signals and cepstrum analysis, discrete cosine transform, wavelet and wavelet packet transform
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小波包变换可以对高频部分提供更精细的分解,而且这种分解既无冗余,也无疏漏,所以对包含大量中、高频信息的信号能够进行更好的时频局部化分析。-Wavelet packet transform can provide the high frequency part of the finer decomposition, and this decomposition is neither redundant nor oversight, so the signal contains a large am
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离散Meyer小波包变换,主要是Meyer函数构造的相关程序-Meyer discrete wavelet packet transform, mainly related to the program Meyer Constructor
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此程序为小波包变换结合和能量谱分析提取特征频率-This procedure for the analysis of wavelet packet transform and energy spectrum feature extraction of frequency combination
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在MATLAB环境中,得到语音信号的散点图,STFT变换和小波包变换。-In the MATLAB environment to obtain a scatter plot of the speech signal, STFT transform and wavelet packet transform.
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利用小波包变换嵌入水印,适用于初学者了解-Using wavelet packet transform to embed watermark, suitable for beginners to understand
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基于小波包变换对信号进行分解,提取机器轴承故障的特征信号进行损伤识别,(The signal is decomposed based on wavelet packet transform, and the characteristic signals of machine bearing faults are extracted to identify the damage,)
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