This approach can be easily extended to the wavelet transform coding technique.
此方法可以容易地扩展到WT变换编码。
We use this technique for image coding in the wavelet transform domain and get a satisfactory simulation result.
文中应用失显量化法量化图象于波域数据，取得较满意的压缩效果。
The wavelet transform has favorable localization character in time domain and frequency domain, which is specially applicable in wideband signal.
介绍了连续子波变换的定义和性质：基于子波变换在时域和频域的良好局部化性质；
The wavelet transform filter and infinite impulse response (IIR) digital filter is applied, and the output signals of the three filters are compared.
此外，本文还对陀螺信号进行了小波变换滤波和IIR数字滤波器滤波并对上述三种方法的滤波性能进行了对比分析。
Based on the wavelet transform and the relation between signal singularity and wavelet transform modular maximum, a noise removal technique is discussed.
在论述了小波分析、信号奇异性与小波变换模极大值性质关系的基础上，本文给出了一种基于小波变换模极大值的信号去噪算法。
Scattering from three-dimensional cavities is solved using the wavelet-MoM method, while the moment matrix is sparsified with help of the wavelet transform.
该文采用小波矩量法求解导电平面上的三维腔体散射，利用小波变换稀疏化矩量矩阵，加速其求逆，减少了腔体散射的总体计算时间。
This article utilizes the wavelet transform to compress the high dimensional face image vectors, then devises an SVM classify system to recognition the face.
文中使用小波变换来对人脸的高维图像矢量进行压缩，并设计了一个支持向量机分类器系统来识别人脸。
The wavelet transform is of good localization property in the domain of time and frequency, which provides a comprehensive application in processing acoustic wave.
小波变换同时有在时间域和频率域对信号进行局部化的特点，使其在声波信号处理中有着广泛的应用前景。
The properties of the wavelet transform and the discrete dyadic wavelet transform are discussed and a fast wavelet algorithm for one-dimensional signals is described.
论述了连续小波变换和离散小波变换的性质、方法，介绍了离散二进小波变换的快速算法。
It can be applied in studying the property of any basic wavelet and learning the theory on the wavelet transform, and also in making some engineering signal analysis.
它即可用于对母小波的研究和对小波理论的学习，也可用于一些工程信号分析。
We code the gray images combined improved run-length encoding algorithm with wavelet transform according to the characteristics of the wavelet transform coefficients.
从二值图像延伸到灰度图像，我们根据小波变换后小波系数的特点，将行程编码算法进行了改进，结合小波变换对灰度图像进行编码。
According to the characteristic of the shaft-rate electric field of a ship, this paper proposes a detection method for the target signal based on the wavelet transform.
根据舰船轴频电场信号的特点，提出了基于小波变换的目标信号检测方法。
The wavelet transform does multi-resolution analysis on the signal which clarifies the electrocardiogram (ECG) signal characteristics to more easily detect the QRS complex.
小波分解对信号做多分辨率分解，可以突出信号的特征信息，便于QRS波群检测。
Methods the noise on high frequency domain was obtained and magnified after the pathologic voice signal was decomposed on multiple levels by means of the wavelet transform.
方法应用小波变换对早期病理嗓音信号进行多重分解，提取和放大频谱的高端噪声。
The continuous and discrete wavelet transform are also described. The constraints to wavelet, qraphics and general properties about the wavelet transform are also presented.
描述了连续和离散的子波变换，讨论了子波函数成立的容许性条件和子波变换的一些基本性质。
This method is a stable and approximate description. We can reconstruct signal by using alternative projection algorithm from the wavelet transform with local maximum value.
小波变换局部极大值描述是信号的一种稳定的、近似的描述，可以利用交替投影算法从小波变换局部极大值描述来重构信号。
An efficient implementation of the discrete form of the wavelet transform on digital signal processors (DSPs) is especially interesting for the analysis of real time signals.
在实时信号分析中，离散小波变换在DSP上的有效应用受到了特别的关注。
Based on the analysis of the traveling wave with wavelet transform, this paper presents a new method of traveling wave differential protection based on the wavelet transform.
文中在对行波的小波分析的基础上，提出了基于小波变换的行波差动保护原理和算法。
A new high speed protection criterion for high voltage transmission line based on the wavelet transform of transient voltage signals from the two ends of the line is presented.
提出了一种基于双端电压暂态信号小波变换的高压输电线路快速保护算法。
Two features detection algorithm based on the wavelet transform modulus maxima and its phase angle is presented, to resolve the problem of weak infrared point targets detection.
为解决强杂波中红外弱点目标的检测问题，提出了基于小波变换模极值及其位相值的双特征检测算法。
To solve information redundancy problem of the existing time series phase space reconstruction method, this article introduced the wavelet transform to phase-space reconstruction.
为解决现有时间序列相空间重构方法中重构信息冗余的问题，本文将小波变换引入到相空间重构之中。
The algorithm makes use of wavelet transform to divide the wavelet space, which shows that the wavelet transform has a better decorrelation ability and leads to better convergence.
与通常的自适应多用户检测算法相比，该算法利用了小波变换对小波空间进行了分解，信号经小波变换后自相关性会下降，收敛速度提高。
The wavelet transform has a good performance of local analyzing in both time domain and frequency domain. It is fit for analyzing non-stationary signals, such as ultrasonic signal.
而小波具有“变焦距”特性，在时域和频域中具有良好的局部分析能力，适合于超声等非平稳信号处理。
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
Based on wavelet transform, the feasibility of the wavelet transform on Coriolis mass flowmeter is expounded. The implementation is put forward, and relevant experiment has been done.
以分析小波变换为基础，阐述了小波变换应用在科氏流量计上的可行性，给出了实现方案，并做了相关的现场实验。
The wavelet transform theory is one of the effective tools mat widely apply to image processing recently, which have charicrictics of multiresolution analysis, fast working time, etc.
小波分析理论是近年来广泛使用于图像处理领域的有效工具之一，具有时域和频域的双重局部性、多尺度分析、计算的快速性等特点。
The wavelet transform has no ability to resist to geometric distortion, so the wavelet domain watermarking resisting to geometric distortion is a very difficult and challenging subject.
小波变换不具有几何不变性，因此，小波域水印对抗几何攻击是一个十分困难和富有挑战性的课题。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, we present a wavelet-based denoising method for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性，本文提出了一种基于小波变换的去噪方法，以期达到从单次样本中提取视觉诱发电位的目的。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, we present a wavelet-based denoising method for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性，本文提出了一种基于小波变换的去噪方法，以期达到从单次样本中提取视觉诱发电位的目的。
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