A new blind source separation (BSS) algorithm is proposed.
提出了一种新的信号源盲分离算法。
The BSS memory area is anonymous: it does not map any file.
BSS内存区域是匿名的：它不映射任何文件。
Objects in the BSS section have only a name and a size, and no value.
BSS部分中的对象只有一个名称和大小，没有值。
The subject of this article is about the Blind Source Separation (BSS).
论文的主要研究对象是盲源分离问题。
Firstly, according to the mechanical characteristics of BSS members, c.
首先，根据张弦梁结构各构件的受力特点，选择c。
Finally, we get to the lowest segments of memory: BSS, data, and program text.
最后，我们来聊聊刚才图中位置最下方的几个内存段：BSS段、数据段和程序段。
The association between odontoid fractures and BSS has been rarely reported.
齿突骨折和BSS之间的关联鲜有报道。
Finally, we get to the lowest segments of memory: BSS, data, and program text.
最后，我们得到的最低内存段：BSS，数据和程序的文本。
Variables declared in the BSS section don't actually take space, unlike in the data segment.
与数据部分中不同，BSS部分中声明的变量并不实际占用空间。
Blind signal separation (BSS) is an important topic, it also has used in many applications.
盲源分离是一个非常广泛的议题，在许多实际系统中有着应用。
Another type of section, known by the BSS designation, contains blocks started by symbol data.
另一种类型的段，称为bss段，它包含以符号数据开头的块。
Most algorithms for blind signal separation (BSS) have poor performance in a noisy back-ground.
噪声环境下大多数盲源分离+算法性能大大降低。
Finally, we apply this new method to the single mixture BSS for QAM signal, and get good result.
最后，我们将方法应用于QAM调制信号的单混合信号的盲分离问题，得到较好的分离效果。
The Beam String Structures(BSS), using bar connecting arches and cables, is a new type of long-span structures.
张弦梁结构是通过撑杆连接上弦抗弯受压刚性构件和下弦高强度拉索而形成的一类新型大跨度结构体系。
Based on the application of BSS in array signal processing, a method of estimation signals number was proposed.
就盲分离在阵列信号处理中的应用，提出了一种基于四阶累积量的源数估计方法。
A novel BSS algorithm is presented in this paper by combining the PDF estimation with the fixed-point algorithm.
提出一种估计激活函数的新方法，与盲信号抽取定点算法相结合，形成一种新的盲分离算法。
A method of forecasting the total solar irradiance based on blind source separation (BSS) neural network was presented.
提出一种应用盲分离神经网络预测逐日太阳辐射能的方法。
A method of forecasting the total solar irradiance based on blind source separation (BSS) neural network was pre - sented.
提出一种应用盲分离神经网络预测逐日太阳辐射能的方法。
We used frequency to analyze syndrome types and probed into Frequently BSS' s simultaneous type of type2-DM and its syndromes.
对证型进行频数分析，探讨2型糖尿病及其并发症常见的血瘀证复合证型。
This is consistent with the generating conditions of the BSS (Broad Symmetric Structure) in the ionospheric heating experiments.
这与电离层加热实验中的宽对称结构(BSS)的产生条件相一致。
The basic thought is to apply the existing blind source separation (BSS) algorithm to the signal detection in MIMO-OFDM systems.
基本思想是将现有的盲信源分离算法(BSS)应用到MIMO - OFDM系统的信号检测中。
The NO levels of ACI group, non-BSS group in comparing with healthy Control, there was significant decrease (P< 0. 05, P< 0. 01 ).
ACI组、血瘀证组、非血瘀证组NO含量与健康对照组比较均显著降低（P＜0．05，P＜0．01）；
Abstract: in this paper, several recently proposed neural network approaches to nonlinear blind signal separation (BSS) are reviewed.
摘要：本文回顾了一些最新的求解非线性盲源分离问题的神经网络算法。
As the key part of business support system (BSS), account system plays an important role in income security of telecommunication carriers.
BSS帐务系统是电信业务支撑系统(BSS)的重要组成部分，是电信运营商收入保障关键环节。
Objective to study injection BSS and viscoelastic agent in anterior chamber prevent shallow anterior chamber after glaucoma trabeculectomy.
目的探讨前房注bss和粘弹剂预防青光眼小梁切除术后浅前房的临床效果。
Blind source separation (BSS) based on spatial time frequency distribution can separate signals with different time frequency distributions.
基于空间时频分布的盲源分离算法可以用来分离具有不同时频分布的信号。
This paper discusses the recoverability of underdetermined blind source separation(BSS), based on a two-stage sparse representation approach.
基于一种两步稀疏表示的方法，利用随机框架讨论欠定盲源分离的恢复能力。
This paper discusses the recoverability of underdetermined blind source separation(BSS), based on a two-stage sparse representation approach.
基于一种两步稀疏表示的方法，利用随机框架讨论欠定盲源分离的恢复能力。
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