采用小波变换的功率测量方法

根据国家电能质量标准和国际相关标准对电能质量的要求 ,提出了一种基于小波变换的非正弦波电流 (电压 )有效值和功率的计算方法。此方法利用子带滤波器对非正弦信号进行多分辨率分解 ,得到各个不同频带的小波分解系数 ,在小波域上用小波系数计算基波、谐波电流 (电压 )的有效值及功率 ;同时利用快速小波变换算法对短时间信号进行分析 ,得到了很好的测量结果 ,为工程实践中快速、精确地测定电网的功率参数提供了一种有效的方法。     

采用第二代小波变换的功率测量方法

采用第一代小波变换进行电压、电流有效值和功率分频带测量时运算速度慢,不利于硬件的实现和实际应用.针对以上问题,在深入分析提升过程和推导Db4提升小波的系数的基础上,首次提出了基于第二代小波的电压、电流有效值及功率分频带测量的方法,并用Db提升小波进行仿真实验.可以看出,该算法的准确度优于10-3,速度则比第一代小波变换的测量算法提高了一倍以上.     

基于混合采样方法的交流功率转换器

提出了一种混合采样的交流功率转换器 ,叙述了该种采样功率测量的原理 ,推导了功率测量的算法和功率测量误差。通过计算机仿真 ,分析了量化误差对混合采样功率测量方法的影响。最后给出了采用 12 bitA D和D A转换器、频率范围为 4 5～ 6 5Hz时的功率测量实验数据 ,结果表明 :混合采样功率转换器的准确度为 3× 10 - 4,比数字采样方法的测量误差有明显的改善     

基于WDFB及形态膨胀的图像压缩算法

将小波和方向滤波器组结合,实现了一种非冗余的图像变换WDFB,它满足各向异性尺度关系,能更稀疏地表示诸如边缘和纹理等几何特征.利用WDFB的优势,提出一种基于形态学操作的有效的图像压缩算法.该算法利用重要树来表达子带间的相关性,同时采用形态膨胀算子来聚类子带内的重要系数.实验结果表明,新算法在PSNR指标上明显优于基于小波的压缩算法,尤其对于含有丰富纹理的图像.例如对于512×512的Barbara图,在0.25bpp压缩率下,新算法比SPIHT和MRWD算法的PSNR分别提高1.08dB和0.87dB.     

基于谐波小波变换的共振解调法

在滚动轴承的振动故障诊断中，广泛使用解调方法分析诊断故障。利用软件方法实现共振解调时，必须首先构造窄带高频带通滤波器，提取高频共振信息，然后利用Hilbert变换进行解调分析。通过分析谐波小波变换的实现过程，发现信号经谐波小波变换的实质是将信号带通滤波后，进行Hilbert解调。另外，共振解调中要求带通滤波器是窄带高频带通滤波器，广义谐波小波突破了传统二进小波在低频分辨率高，而在高频分辨率低的限制，能够实现超窄带高分辨率检波，满足共振解调的要求。在此基础上，提出了基于谐波小波变换的共振解调算法，为软件实现共振解调提供了一种新的途径。     

基于非先验基信号分析方法的声强测量

双传声器声强测量的关键技术要用到离散傅里叶变换(DFT),DFT是一种先验基的分析方法,存在泄漏误差.分析了DFT泄漏误差对声强测量的影响,结果发现这一误差对声强测量的影响大,进而提出一种基于非先验基的信号分析方法,将其用于双传声器声强测量,进行了模拟计算和实验验证.结果证明可以避免泄漏误差,准确地测量出声强值.     

电力参数间谐波测量算法的研究

DFT的泄漏和栅栏效应不能测量电力系统的间谐波和分析电力系统谐波误差。一般通过加窗插值DFT能测量间谐波,然而需要构造窗函数使得分析及实际运行变得复杂。本文通过简单的频域变换结合多谱线插值并且给出了一种相应的算法,仿真结果表明该方法运行简单便于分析,精度高,因此为电力系统谐波分析提供了一种满意的工具。     

电气化铁路的谐波电能计量技术研究

分析了电气化铁路对电力系统电压电流信号测量和电能计量的影响,建立了针对电气化铁路电能计量的基于离散傅里叶变换的非正弦信号电能计量算法,给出了算法模型、实现机理和依据谐波有功功率判据谐波潮流的方法,利用MATLAB对电气化铁路的谐波电能计量方法进行了仿真实验,在此基础上研制的三相多功能谐波电能表的有功电能计量准确度达到0.2 S,谐波测量准确度满足我国A类谐波测量仪器的要求,符合我国现行电网运行需要.     

硅微陀螺信号处理方法——基于前向线性预测小波变换方法

为补偿漂移误差对硅微陀螺的测量精度造成的损失,针对漂移误差易受外部环境噪声影响的特点,提出了一种基于前向线性预测（FLP）的小波变换（WT）处理方法——DWT-FLP算法,并通过硅微陀螺试验对其进行了验证。该方法利用快速小波变换算法进行信号的小波分解和小波重构,并将FLP方法用于小波分解系数的重构,比较显著地提高了重构信号的精度。对于4尺度的db4小波变换,40阶FLP的滤波方法可以将硅微陀螺静态漂移的标准差提高4.8倍,动态测量过程信噪比可以提高6.5dB,并且该算法的实时性也可以满足实际工程的需要。     

脉冲调宽乘法器在交流应用下的误差及标准功率,电压,电流测量仪…

本文讨论了脉冲调宽乘法器用于交流测量时交直流变换误差与时分割频率的关系，提出了一咱新的准确计算方法，并对相移误差等因素作了分析，给出了减小误差的措施。最后介绍了基于上述分析而设计研制的标准功率，电压、电流测量仪，其测量功率，电压、电流的镧上于０．０１％。     

Analysis of Harmonics in Power Systems Using the Wavelet-Packet Transform

This paper proposes a new algorithm based on the wavelet-packet transform for the analysis of harmonics in power systems. The proposed algorithm decomposes the voltage/current waveforms into the uniform frequency bands corresponding to the odd-harmonic components of the signal and uses a method to reduce the spectral leakage due to the imperfect frequency response of the used wavelet filter bank. This paper studies the selection of the mother wavelet, the sampling frequency, and the frequency characteristics of the wavelet filter bank for the two most common wavelet functions used for harmonic analysis and compares the performance of the proposed method with the results obtained using the discrete Fourier transform (DFT) analysis and the harmonic-group concept introduced by the International Electrotechnical Commission (IEC) under different measurement conditions.     

基于码率预分配编码技术的高分辨率航测图像压缩

由于需要对大面阵航空CCD相机带来的庞大航测图像数据进行压缩,在研究多种图像压缩算法的基础上提出了一种基于比特位平面编码的码率预分配图像压缩算法(RPCA)。首先将图像进行多级整数小波变换,以去除图像像素之间相关冗余。根据率失真理论并结合各个子带对图像重建质量的重要性原则,编码前事先确定每个子带在总码率一定的情况下各个子带在实际编码中应当分配的码率大小,再利用自适应MQ算术编码对每个子带比特平面进行熵编码,从而得到细致的嵌入式码流。实验仿真结果表明,该RPCA码率分配精准,图像压缩质量与JPEG2000标准相当,且支持无损到有损的任意倍率图像压缩,但复杂度低于JPEG2000标准,适合于硬件的高速实现。     

离散傅立叶变换误差对声强测量技术的影响

离散傅立叶变换(DFT)存在误差。分析DFT泄露误差对声强测量的影响,进行模拟计算。计算结果表明:DFT泄漏误差将引起声强的泄露,在多个频率情况下还可能导致出现不合理的负声强。继而进行实验实测,实测结果与理论分析结论相同。     

Wavelet packet transform-based robust video watermarking technique

In this paper, a wavelet packet transform (WPT)-based robust video watermarking algorithm is proposed. A visible meaningful binary image is used as the watermark. First, sequent frames are extracted from the video clip. Then, WPT is applied on each frame and from each orientation one sub-band is selected based on block mean intensity value called robust sub-band. Watermark is embedded in the robust sub-bands based on the relationship between wavelet packet coefficient and its 8-neighbour (D ₈) coefficients considering the robustness and invisibility. Experimental results and comparison with existing algorithms show the robustness and the better performance of the proposed algorithm.     

Motion estimation and compensation based on almost shift-invariant wavelet transform for image sequence coding

There has been rapid progress in the application of wavelet transforms to image and image sequence compression. The standard discrete wavelet transform lacks transition invariance in image decomposition which will affect the accuracy of motion estimation from the decomposed subimages in video coding. In this article, we present a study of applying an almost shift-invariant wavelet transform with “oversampled frames” to image sequence compression. With minimal oversampling and biorthogonal spline wavelets in the almost shift-invariant wavelet transform, motion vectors can be more accurately estimated, contributing toward fewer prediction errors in comparison to those obtained with the standard discrete wavelet transform. Thus, an improved compression ratio can be obtained. We present two new algorithms, the full-motion oversampling algorithm (FMOS) and the reduced search multiresolution motion estimation algorithm (MRME), for estimating motion fields at different scales and in different subimages. In the latter, motion vectors at a higher resolution are approximated by the motion vector estimates at a lower resolution through proper scaling. Experiments were performed on three video sequences with a variety of motions including slow, fast, and zooming. Our results have shown that both algorithms, FMOS and MRME, using the almost shift-invariant oversampled frame wavelet transform have reduced prediction errors and enhanced the compression performance in terms of peak-signal-to-noise ratio (PSNR) for the same bit rate when compared to the existing full motion standard algorithm. © 1998 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 9, 214–229, 1998     

A new algorithm for improving the accuracy of periodic signalanalysis

Digital periodic signal analysis often requires synchronized sampling with the signal being analyzed. In certain practical situations, however, this condition is difficult to satisfy. As a result, a number of undesirable effect such as the spectral leakage associated with the discrete Fourier transform (DFT), and the truncation errors in digital wattmeters arise and degrade system performance. This paper presents a new approach which attempts to remedy the underlying problem. The basic idea of the proposed method is to modify the actual sampled sequence such that it becomes an ideal sample sequence which is synchronized with the signal subjected to sampling. A simple algorithm for modifying the sampled sequence on-line is derived based on interpolation. The proposed approach requires quite modest additional computational burden which makes it suitable for real-time signal professing. To illustrate the practical applicability of the proposed algorithm, the paper considers two distinct but common cases. First, it shows how the proposed method can be used in the case of DFT analysis of harmonic signals, and secondly, it considers the digital wattmeter application area in electrical power-system measurement. Results show that the proposed algorithm is capable of reducing both the leakage effect in DFT analysis and truncation errors in digital wattmeters     

基于小波变换的介损测量方法研究

高压介质损耗测量是电力系统中检测高压电气设备的常规项目，对于高压电气设备的正常运行至关重要。依据小波分析理论、阐述了信号分解重构的过程，并且结合损耗测量中的波形特征，提出了利用小波变换来提取基波信号计算介质损耗角的检测方法，能够有效的消除谐波和噪声的影响。仿真分析表明，小波变换在介损测量中有较好的应用效果。     

适合于地震工程信号分析的快速小波变换法研究

本文简要分析了目前普遍采用的小波变换法,指出其尚不能满足地震工程信号分析的要求,由此提出一种直接变换法的改进方法,经详细的考查,证明该方法精度高、速度快,能够满足地震工程信号分析的要求。     

基于小波变换的裂谱分析法

 为了提高超声无损检测（UNDT）和无损评价（UNDE）中基础数据的信噪比（SNR）,提出了一种基于小波变换多分辨率分析的裂谱分析新方法．该方法在分析传统裂谱分析（SSP）方法原理及其局限性的基础上,通过采用小波变换多分辨率分析能力将原始超声回波信号进行等Q子带分解,然后按照一定的信噪分离规则来消除噪声,达到提高信噪比的目的．实验结果表明,与传统裂谱分析方法相比,该方法提高了消噪性能的稳定性,增强了湮没晶粒(或其他散射体)散射中的缺陷回波信号能力．