二进网络是线性参数化网络。
临街是一幢二层木楼。二进是转心楼，后三进都是平房。
Second layer is the zhuanxinlou building, after three layers into the Bungalow.
陵恩殿位于长陵的第二进院落内，为长陵更添宏伟与壮丽。
Adding to the impressiveness and beauty of Changling is the ling 'en Palace, which is located in the second courtyard.
二进神经网络的知识提取需要了解每个神经元的逻辑意义。
It is necessary to know the logical meaning of every binary neuron when extracting knowledge from a binary neural network.
基于上述事实，本文引入了基于二进索引树的算术编码算法。
Based on the former fact, we introduce the arithmetic coding algorithm based on binary index tree.
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.
研究了差集偶的性质，给出了差集偶与最佳二进阵列偶之间的关系。
The relationship between differences set pairs and perfect binary array pairs is given.
剖析二进神经元的逻辑意义对二进神经网络的规则提取是十分重要的。
For extracting rules from binary neural networks, it is important to analyze logical meaning of neurons.
由于品质因素的限制，二进Y -母波的高稳定度区域是十分狭窄的；
The stability region of dyadic Y wavelet class is very narrow and limited by larger quality factor;
提出了广义伪随机屏蔽二进序列偶，给出了其变换性质、组合允许条件。
Generalized pseudorandom punctured binary sequence pair along with the transformation properties and combinatorial limited conditions are presented.
为应用差集偶这种区组设计的方法研究最佳二进阵列偶提供了理论依据。
Theoretical basis for using differences set pairs to research perfect binary array pairs is provided.
完美二进序列偶是完美二进序列的推广，其对应的组合结构称为差集偶。
The uniqueness of almost perfect punctured binary sequence pair is put forward and proved.
我们得到了最佳二进序列存在的必要条件，给出一类差集偶的直接构造方法。
We obtained necessary conditions for the existence of perfect binary sequences, and presented a direct construction for a class of difference sets pairs.
差集偶是一类新的组合设计，一类特殊的差集偶与最佳二进阵列偶是等价的。
A special class of difference set pairs is equal to the perfect binary arrays pairs.
在进行序列产生器的设计时，首先用十进制数和二进数同时列出所需要的序列。
The design progress of this sequence generator starts with the listing of sequence both in decimal and binary.
每个人都需要知道什么是一或者二进指制树，那是因为他们习惯了所有的时间。
Everyone needs to know what a or binary tree is because they get used all the time.
二进神经网络是应用于布尔空间的神经网络，知识提取是它的一个重要研究领域。
A binary neural network (BNN) applies to problems in Boolean space, Extraction of rules is a important research area of it.
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.
此外，发现用二进计数序列作为测试输入对于差错特征量可测试性设计有一定优点。
Besides, it is discovered that there are some merits for error signature analysis and testability design when binary counting sequences are used as the testing input.
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.
提出一种基于二进小波变换与多层分组神经网络的自由手写体数字的多分辨率识别算法。
In this paper, a new scheme of multiresolution recognition of unconstrained handwritten numerals based on dyadic wavelet transform and multilayer cluster neural network is presented.
同时研究了奇周期最佳几乎二进序列偶的变换性质和频谱特性，给出了一些组合允许条件。
The transformation features and Fourier spectrum of odd-periodic perfect almost binary sequence pair are studied. Some combined admissibility conditions are also given out.
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。
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.
基于正交二进小波，设计了一个滤波器对图象进行多尺度滤波，得到不同尺度的小波变换。
A filter based on orthonormal wavelet bases is designed to do wavelet transform with images. Different scale image edges can be detected form different scale image wavelet transform.
运用这些性质和条件可以缩小几乎最佳屏蔽二进序列偶的搜索范围，提高计算机搜索的效率。
By making use of these properties and conditions, the searching efficiency for the almost perfect punctured binary sequence pairs can be improved significantly.
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.
然后本文提出了一种称为二进网络的全新神经网络，和一种称为二进模糊系统的全新模糊系统。
Then the paper proposes a brand new neural network, termed dyadic network, and a brand new fuzzy model, termed dyadic fuzzy system.
在这一部分分别介绍了冗余变换中的离散脊波变换、二进小波变换、曲波变换、快速曲波变换。
In this section, the discrete transform ridge redundant wavelet transform, dyadic wavelet transform, curvelet transformation, curvelet transformation have been introduced.
在这一部分分别介绍了冗余变换中的离散脊波变换、二进小波变换、曲波变换、快速曲波变换。
In this section, the discrete transform ridge redundant wavelet transform, dyadic wavelet transform, curvelet transformation, curvelet transformation have been introduced.
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