提出一种新的最佳相关信号，即几乎最佳屏蔽二进序列偶，研究了其变换性质和存在组合的允许条件。
A new perfect correlation signal was proposed, which can be called as almost perfect punctured binary sequence pairs. Its properties and combinatorial admissibility conditions were studied.
定义了一种新的最佳相关信号，即奇周期最佳屏蔽二进序列偶。
This paper presents a new kind of perfect correlation signal, that is, odd-periodic perfect punctured binary sequence pair.
由于回波信号的估值直接利用二进数据码合成，使运算量比传统的算法减少了3 ~5倍。
Since the estimated echo signals are directly derived from the binary data code, the amount of manipulation is reduced by a factor of 3-5 compared with conventional manipulation.
介绍了小波分析的基本概念和二进小波的分解及重构算法，探讨了测井信号的频谱特征。
The basic concept of the wavelet analysis, binary wavelet decomposition and reconstruction algorithm are introduced, and the peculiarities of the frequency of logging signal are discussed.
提出一种新的最佳相关信号，即几乎最佳屏蔽二进序列偶，研究了其变换性质和存在组合的允许条件。
A new perfect correlation signal was proposed, which can be called as almost perfect punctured binary sequence pairs.
研究小波分析在机械工程信号处理中的应用，提出通过二进小波变换检测信号奇异点的实用技术。
The application of wavelet theory in signal processing in mechanical engineering field is also discussed and a practical technique for signal singularity detection is proposed.
本文针对一种新的信号形式一阵列偶，对阵列偶、最佳二进阵列偶以及准最佳二进阵列偶理论进行了综合探讨。
This paper aims at a new form signal-array pair, the theory of array pairs, perfect binary pairs and quasi-perfect binary array pairs is discussed synthetically.
本文提出了用样条插值重构算法来实现由信号二进小波变换极值点重构原始信号。
A reconstruction algorithm by cubic spline function interpolation, which is used to recover a signal from its dyadic wavelet transform extrema is proposed in this paper.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
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