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通讯/手机编程 In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for un
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by ...
matlab例程 System identification with adaptive filter using full and partial-update Least-Mean-Squares
System identification with adaptive filter using full and partial-update Least-Mean-Squares
matlab例程 Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random n
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator.
a Compute the autocorrelation of for .
b Compute the periodogram estimate and plot it.
c Generate 10 different realizations of , and compute the corresponding sample autocorrelatio ...
网络 A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by mean
A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by means of modules. It is not a new node object derived from Node. Rather it is a new layout of mostly existing components. Rationale for this new design has been presented in [1]. The MW-Node provides a fl ...
matlab例程 The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the ave
The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images s ...
生物技术 使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data
使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data
matlab例程 System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squar
System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares
人工智能/神经网络 国外一个大牛人写的MEAN-SHIFT目标跟踪算法
国外一个大牛人写的MEAN-SHIFT目标跟踪算法,程序使用了OPENCV函数库。
邮电通讯系统 Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean Gaussian random variab
Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean
Gaussian random variables independently (separately) for each k MATLAB function random.
matlab例程 System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean
System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares