function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) ％CUM2X Cross-covariance ％ y_cum = cum2x
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) ％CUM2X Cross-covariance ％ y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag) ％ x,y - d...
Maximum-likelyhood技术资料
📦 资源总数：110
💻 源代码：8530
🔌 电路图：4
最大似然估计（Maximum Likelihood, ML）是一种广泛应用于信号处理、通信系统及数据分析中的统计方法，通过选择使观测数据出现概率最大的参数值来估计模型参数。在电子工程领域，ML技术对于提高无线通信系统的性能、优化雷达信号检测以及增强图像识别精度等方面具有重要作用。掌握这一技术不仅能够帮助工程师解决实际问题，还能促进其在科研创新上的发展。我们提供了110个精选资源，包括教程、案...
🔥 Maximum-likelyhood热门资料
查看全部110个资源 »Input The input consists of two lines. The first line contains two integers n and k which are the l
Input The input consists of two lines. The first line contains two integers n and k which are the lengths of the array and the sliding window. There ...
A one-dimensional calibration object consists of three or more collinear points with known relative
A one-dimensional calibration object consists of three or more collinear points with known relative positions. It is generally believed that a camera...
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and m
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate t...
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and m
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate t...
💻 Maximum-likelyhood源代码
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