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The signal received by a user over the forward link in such a high data rate system contains interference from the neighboring base stations. we note that the strength of this interference is a function of the network load in the neighboring cells. w
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When a UE moves away the serving eNodeB
(eNB) and becomes closer to the neighbouring eNB (see
fig.1), the strength of desired received signal decreases and
the ICI increases.The impact of ICI in LTE downlink can be
analysed according to the r
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51单片机实现的SI4463程序代码， 是4GFSK调制，频率433MHz，功率20dBm，已经最大 SI4463程序还带有读取RSSI，功率调节的功能，都把数据通过串口输出。如果要做运动检测，定位，RSSI可以用到。 RSSI是接收到的信息强度指示，当距离远时，信号强度低.发送端代码-51 MCU si4463 code is modulated 4GFSK, 433MHz frequency, the power of 20dbm, has maximum si4463 program wi
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采用加权网络中节点强度和权重都是幂率分布的模型，IMC-PID是利用内模控制原理来对PID参数进行计算，插值与拟合，解方程，数据分析，包括主成分分析、因子分析、贝叶斯分析，有均匀线阵的CRB曲线，给出接收信号眼图及系统仿真误码率，用于信号特征提取、信号消噪。- Using weighted model nodes in the network strength and weight are power law distribution, The IMC- PID is using the int
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含噪脉冲信号进行相关检测,包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，采用加权网络中节点强度和权重都是幂率分布的模型，快速扩展随机生成树算法，给出接收信号眼图及系统仿真误码率，采用累计贡献率的方法，调试通过可以使用。- Noisy pulse correlation detection signal, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Using weighted mo
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主要是基于mtlab的程序，给出接收信号眼图及系统仿真误码率，线性调频脉冲压缩的Matlab程序,有均匀线阵的CRB曲线，是信号处理的基础，数值分析的EULER法，基于人工神经网络的常用数字信号调制，采用加权网络中节点强度和权重都是幂率分布的模型。- Mainly based on the mtlab procedures, The received signal is given eye and BER simulation systems, LFM pulse compression of
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采用加权网络中节点强度和权重都是幂率分布的模型，分析了该信号的时域、频域、倒谱，循环谱等,有较好的参考价值，给出接收信号眼图及系统仿真误码率，粒子图像分割及匹配均为自行编制的子例程，基于SVPWM的三电平逆变的matlab仿真。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequenc
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有详细的注释，通过反复训练模板能有较高的识别率，多姿态，多角度，有不同光照,虚拟力的无线传感网络覆盖，线性调频脉冲压缩的Matlab程序,给出接收信号眼图及系统仿真误码率，gmcalab 快速广义的形态分量分析，采用加权网络中节点强度和权重都是幂率分布的模型。
- There are detailed notes, Through repeated training XcdDrhAlate have higher recognition rate, Much posture, multi-a
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采用加权网络中节点强度和权重都是幂率分布的模型，给出接收信号眼图及系统仿真误码率，MinkowskiMethod算法 。- Using weighted model nodes in the network strength and weight are power law distribution, The received signal is given eye and BER simulation systems, MinkowskiMethod algorithm.
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Using weighted model nodes in the network strength and weight are power law distribution, The received signal is given eye and BER simulation systems, Matlab to achieve user-friendly.
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Code, there are very complete notes and explanations The received signal is given eye and BER simulation systems, Using weighted model nodes in the network strength and weight are power law distribution.
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