BS

Each set of wireless devices communicating directly with each other is called a basic service set (BSS).

On this basis, this method was adopted in Blind Signal Separation(BSS) problems, and its effectiveness was validated by simulation.

As the key part of business support system(BSS), account system plays an important role in income security of telecommunication carriers.

As a power tool to reduce redundancy, blind sources separation (BSS) can restore the waveform of independent sources effectively.

Objects in the BSS section have only a name and a size, and no value.

In this thesis, a program for the form finding of the BSS is compiled with the APDL language used in ANSYS parametric design.

The imitation embodies that the smaller that index is, namely, the smaller BSS is, the better denoising effect is.

The basic thought is to apply the existing blind source separation (BSS) algorithm to the signal detection in MIMO-OFDM systems.

The Blind Source Separation (BSS) problem consists of recovery sources from the observed signals without adequate a prior knowledge.

In the aspect of blind signal separation (BSS), a class of infinitely many independence measures called "quasi-entropy (QE)" was proposed.

BSS and AGS auger-boring tools of different structures are selected to drill different soil and formation with different water contents.

The work done above provided helpful references for cable tension evaluation of a BSS based on frequency measurement.

Most algorithms for blind signal separation(BSS) have poor performance in a noisy back-ground.

Generally, classical BSS methods include Blind source parallel separation and Blind source extract.

BSS for audio mixtures is original intention of BSS technique, and also is a challenging problem in signal processing realm.

All other data structures are either allocated from global data (i. e. . bss, . data, or their equivalents), or from the C heap.

Another type of section, known by the BSS designation, contains blocks started by symbol data.

Therefore you should not rely on your BSS being initialized to all zeros when you run.

Blind source separation (BSS) is one emerging area in modern signal processing.

Blind source separation(BSS) based on spatial time frequency distribution can separate signals with different time frequency distributions.

Blind Source Separation (BSS) is a new powerful signal and information processing method.

Most of all, cooperation with substructure needs to be considered in designing because of having great effect on seismic response of BSS.

The simulation results show that it is 20 times faster than traditional BSS decryption, and its average SNR improves 3dB.

BSS (Beijing) Petrochemical Equipment Co. , Ltd.

BSS (Beam String Structure) is forepart style of tension structure, owing advanced theory and more applications.

Group B was filled with balanced salt solution (BSS)during vitrectomy.

Listing 3 illustrates the concept of uninitialized memory, defined using the . bss section directive (line 14).

Variables declared in the BSS section don't actually take space, unlike in the data segment.

The simulation package is easy to use and provides a good environment for the research on BSS problem.

The association between odontoid fractures and BSS has been rarely reported.

The BSS memory area is anonymous: it does not map any file.

Became the indeterminacy of separated result exists in BSS algorithm, it will make mistakes in the recomposition from separated signals.

A digital image watermarking scheme embedded in spatial domain based on BSS (blind source separation) was proposed.

BSS includes two methods that respectively based on high-order statistics(HOS) and second-order statistics(SOS).

Based on the application of BSS in array signal processing, a method of estimation signals number was proposed.

A new denoising method for ultrasonic signal based on blind source separation(BSS) is proposed.

Finally, we get to the lowest segments of memory: BSS, data, and program text.

Nokia Siemens Networks BSS has implemented the option number 2.

Finally, is about summary of the thesis, and the future trend of the BSS.

Model is dynamic, full and systematic so that it can provide new ideas for BSS management of Telecom operators.

After that, two kinds of BSS based digital audio watermark methods were proposed.

Analysis on Surveillance Result of The First Round BSS among Intravenous Drug Users in Yunnan Province

Analysis of result of the first round of BSS among male mobile population in Yunnan province

To compare with injection BSS and viscoelastic agent in anterior chamber prevent shallow anterior chamber after glaucoma trabeculectomy

Projected natural gradient-based BSS algorithm with an unknown source number

Homomorphic transform based BSS algorithm for multiplicative noise reduction

Bringing up New Generation OSS&BSS, Entering Telecommunications All-Services Times

Effects of intravitreal irrigation with BSS or BSS Plus solution on the retina and corneal endothelium

BSS; Workshop on Policy Measures for Changing Consumption Patterns;

The Initial Strain Method to Simulate Prestress Tension Procedure to Solve the Forming Finding Problem of BSS

BSS injection by different pathways to prevent shallow anterior chamber after trabeculectomy

Second Characteristic Function High Order Derivative Joint Diagonalization Based on BSS Algorithm

The stability and efficiency analysis of power function in the BSS algorithm

Acquisition of the Speech Signal from BSS Using the Pattern Recognition Method

Licence to operate a satellite carrying four BSS channels granted

Planning parameters for broadcasting-satellite service(BSS) in the band 12 GHz and BSS feeder links

bss packaging - small load carrier systems - bond stackable system

BSS Base Station System BSS Base Station subsystem

Comparative Analysis of Results of Prestress Tension from One Side and from Two Sides about BSS

administration of resources in BSS

Structure the high efficient BSS for the SMS of DTV

BSS 7238 Test method for smoke generation by materials on combustion

Siemens BSS Failure Handling and Tips

Simple method to solve the problem of form finding in BSS

The Theoretical Analysis of Struts Structure of BSS

Reduction of Heart Sounds From Lung Sounds Based on BSS

ICA Bss Based on Wavelet Transform