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卡尔曼滤波的基础上简要介绍了和处理代码。过程通过随机噪音过滤掉,以获取原始信号。-Kalman filter based on a brief introduction and processing code. Process through the filter out random noise to obtain the original signal.
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Introduction to Statistical and Adaptive Signal
Processing
– Random Signals
– Spectral Estimation
– Signal Modeling
– Adaptive Filtering
• Course Overview
– Course Outline
– Textbook
– References-Introduction to Statistical and
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一本介绍随即信号处理的经典书籍,非常实用,英文版-A descr iption then the classic signal processing books, very practical, English
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实验一 双极性矩形随机信号的归一化功率谱密度一
1.1 功率谱密度简介
平稳过程的任何一个非零样本函数的持续时间为无限长,显然都不满足绝对可积和总能量有限的条件。因此,它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。
随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t),它的功率谱密度为:
式中, 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密
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Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visual
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Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visual
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MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE,
Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n),
wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a
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