文章主要分析了最小均方误差(MMSE)自适应检测器应用于CD MA系统的性能，建立了系统信号模型，给出了计算误码率的公式。
The performance of minimum mean square error (MMSE) adaptive detector applied in CDMA system is analyzed in this paper. The signal model is set up, and the relevant bit error rate formulas are given.
介绍了自适应回声消除器的基本结构及各个功能模块，例如：变阶数自适应滤波器，语音状态检测器，延迟分析器和NL MS算法控制器。
The structure of AEC as well as its composing modules, are introduced such as the speech detector, the adaptive filter, the time delay estimator and the NLMS algorithm controller.
盲自适应多用户检测器只需知道期望用户的扩频码及定时信息，就可以实现对多址干扰的有效抑制。
A blind adaptive multi user detector can suppress multi user interference, but only requiring timing and signature waveform of desired user.
它包括点数可变的自适应动目标显示(AMTI)，数字脉压(DPC)，动目标检测器(MTD)，数字积累(DI)和恒虚警率处理(CFAR)。
It is composed of adaptive MTI (AMTI) with variable number of pulses, digital pulse compression (DPC), moving target detector (MTD), digital integration (di) and constant false alarm rate (CFAR).
本文分析了相干检波平均值自适应门限检测器的统计特性。
In this paper the statistical properties of the average adaptive threshold detection with coherent detector are discussed.
运用自适应的模型生成方法，使收集数据、建立模型并将模型分配给检测器的过程高效、自动化。
The adaptive model generation approach streamlines and automates the process of collecting data, building models, and distributing the models to detectors.
本文提出了一种改进型的LMF自适应多用户检测器，即互补比较L MF多用户检测器(CCLMF - MUD)。
This paper proposes a modified LMF adaptive multiuser detector which called Complementary Compare LMF multiuser detector (CCLMF-MUD).
由此，利用随机梯度方法，给出检测器的盲自适应算法，并且分析该算法的收敛性。
Using the stochastic method, a blind adaptive algorithm can be given, and its convergence is analyzed.
回声消除器的基本组成部分是一个自适应滤波器，和一个双向通话检测器。
The basic components of an echo canceller are an adaptive filter, and a double-talk detector.
为了克服这些缺点，本文对该算法进行了改进，得到两种自适应人工鱼群算法（AAFSA_FP和AAFSA_SP），并首次用其构建了新的多用户检测器。
To overcome these problems, two improved AFSA named AAFSA_FP and AAFSA_SP were proposed based on idea of adaptive. Then the new algorithms are applied to solve the multiuser detection problems.
针对多目标环境下的SAR图像目标检测，提出一种新的自适应cfar(恒虚警)检测器。
A new adaptive constant false alarm rate (CFAR) detector, referred as stepwise cumulation CA (SCCA) CFAR detector, is presented for target detection in a multi-target environment for SAR imagery.
针对多目标环境下的SAR图像目标检测，提出一种新的自适应cfar(恒虚警)检测器。
A new adaptive constant false alarm rate (CFAR) detector, referred as stepwise cumulation CA (SCCA) CFAR detector, is presented for target detection in a multi-target environment for SAR imagery.
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