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。
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