Image coding methods based on wavelet maxima representation are studied.
研究了基于图像子波变换局部极大值描述的压缩编码方法。
As wavelet module maxima occur at peaks of signal, the pretreatment removes power frequency periodic components from electric signal and thus avoids misjudgments of fault.
通过预处理滤除工频周期分量，消除了小波变换在信号峰值处的模极大值，从而避免了对故障的误判。
Based on the theory of signal strangeness detect, the maxima modulus in high frequency of wavelet resolving can be used as a criterion to classify steady and non-steady state phenomena.
基于信号的奇异性检测理论，利用小波分解的高频系数是否具有模极大值作为区分稳态和非稳态现象的判据。
This paper also does some examples to show that a curve matching method based on wavelet deal with false value better and have higher accuracy than modulus maxima of wavelet transform method.
通过算例验证，结果表明该方法与传统的小波模极大值法相比，较好地解决了行波波形的伪极值点问题，提高了故障定位精度。
The new algorithm based on wavelet transform modulus maxima was presented to resolve the problem of weak infrared point targets detection under the complicated background of sea and sky.
为解决海空复杂背景下红外弱点目标的检测，提出了基于小波变换模极大的检测算法。
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。
Based on the modulus maxima at each scale of wavelet transform, this paper does a research into the detection of S-T segment of abnormal ECG, especially that of myocardial infarction.
基于小波变换的各个尺度上模极大值，本文深入研究了异常心电信号尤其是梗死发生时S - T段的检测。
A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.
以二次光滑小波作为小波函数，对水果红外图像进行二维二进小波变换，计算了小波变换结果的局部模极大值点，从而得到了水果红外图像的轮廓。
The singularities of signals and noises are investigated. A conclusion is drawn that the wavelet modulus maxima of signals have contrary behaviors from that of noises.
通过对信号与噪声奇异性的分析，得出信号与噪声的小波变换模极大值在各个尺度上的表现截然相反的结论。
The singularities of signals and noises are investigated. A conclusion is drawn that the wavelet modulus maxima of signals have contrary behaviors from that of noises.
通过对信号与噪声奇异性的分析，得出信号与噪声的小波变换模极大值在各个尺度上的表现截然相反的结论。
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