Compute Classical detection threshold for radar detection under additive Gaussian white noise criter
Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability....
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概率论是电子工程领域不可或缺的基石，广泛应用于信号处理、通信系统及噪声分析中。掌握probability技术，不仅能够帮助工程师们更准确地预测系统性能，还能在设计阶段有效规避潜在风险。从基础理论到高级应用，我们提供了58个精选资源，覆盖了从随机变量到贝叶斯估计等多个关键知识点，助力您深入理解并灵活运用这一强大工具。无论是初学者还是资深专家，都能在这里找到适合自己的学习材料。
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查看全部58个资源 »Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probabil...
Adaptive Antennas and Receivers
Homogeneous Partitioning of the Surveillance Volume discusses the implementation of the first of three sequentially complementary approaches for incre...
A Rate Adaptive Channel Estimation Approach
In this paper, we consider the channel estimation problem in Millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the in...
Performance+Analysis+of+Communications+Networks
Performance analysis belongs to the domain of applied mathematics. The major domain of application in this book concerns telecommunications sys- tems ...
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