联合检测技术是移动通信中多用户检测技术的一种。
The joint detection technology is one kind of multi-user detection.
数值结果表明，由于使用多用户联合检测技术抑制多址干扰，随着激活用户数的增加，小区的有效覆盖范围几乎保持不变；
Results show that cell coverage almost remains constant as the number of active users in the cell increases due to the usage of joint detection technology to suppress multiple access interference.
结论应用荧光标记STR多基因座联合检测技术可以对一定比例的混合生物样品进行STR基因型判定，并对其混合比例状况进行大致推断。
Conclusion STR multiplex examination is an ideal method to study the genotype of each component and their combination ratio in a mixed biological sample with certain composed proportion.
论文首先对联合检测技术和智能天线的原理分别进行了介绍和数学分析，并在限定的条件下对它们的实现与应用进行了仿真，得出各自对TD - SCDMA系统性能的影响。
In this paper, it firstly introduces the principle of Joint detection and Smart Antenna, does the emulation under limited condition, gets the influence of each other has on TD-SCDMA.
核心技术有视差估计、遮挡检测、立体残差图像编码、运动和视差的联合估计等。
The key techniques include disparity 'estimation, occlusion detection, disparity compensated difference coding and joint estimation of disparity and motion.
联合MAP多用户检测与信道解码的迭代多用户检测(MUD)技术可显著提高宽带移动CD MA系统的容量和性能。
The technique combining MAP-based multi-user detection (MUD) with channel decoding can greatly improve performance and capacity of broadband CDMA mobile communication systems.
具有码分，频分和时分多址组成部分的无线通信系统，尤其是具有混合多址技术的“联合检测码分多址通信系统。”
Wireless telecommunications system with CDMA, FDMA and TDMA multiple access component, especially 'JD-CDMD' telecommunications system with hybrid multiple access techniques.
目的：研究磁共振多技术联合扫描检测存活心肌的价值。
Objective: To evaluate the value of myocardial viability by multimodality MR Imaging.
但新方案对相偏较敏感，需与传统检测技术联合进行信号检测。
Due to its sensitivity to phase-offset, the new scheme needs combining with the traditional technique to detect signal.
本文联合应用地震属性提取技术、三维测井约束反演技术及油气检测技术，对该区储层进行了识别和预测。
Techniques of seismic attribute, 3-d log constraining inversion and hydrocarbon detection have been used to identify and predict reservoir.
本文联合应用地震属性提取技术、三维测井约束反演技术及油气检测技术，对该区储层进行了识别和预测。
Techniques of seismic attribute, 3-d log constraining inversion and hydrocarbon detection have been used to identify and predict reservoir.
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