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  1. arrival_angle_estimator

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  2. The angles in degrees of the two spatially propagating signals Compute the array response vectors of the two signals Compute the true covariance matrix
  3. 所属分类:MultiLanguage

    • 发布日期:2017-04-24
    • 文件大小:244.78kb
    • 提供者:zhaocuiqin
  1. 11-03-0925-00-000n-simulation-spatial-covariance-

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  2. Simulation of the Spatial Covariance Matrix
  3. 所属分类:source in ebook

    • 发布日期:2017-04-17
    • 文件大小:80.03kb
    • 提供者:lilla
  1. The-source-algorithm-of-SMI

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  2. SMI算法的一些源程序,简单的指出了期望信号协方差矩阵,干扰信号协方差矩阵,噪声信号协方差矩阵。-Some of the source of the SMI algorithm, simply that the desired signal covariance matrix, the covariance matrix of an interference signal, the noise signal covariance matrix.
  3. 所属分类:assembly language

    • 发布日期:2017-11-09
    • 文件大小:3.05kb
    • 提供者:王琦睿
  1. generating_random_samples.m

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  2. 根据一组样本数据的均值和协方差矩阵随机产生正态分布以及对数正态分布的任意规模的样本数据。-According to a set of sample data mean and covariance matrix randomly generated normal and lognormal distribution of the sample data of any size.
  3. 所属分类:MacOS develop

    • 发布日期:2017-04-02
    • 文件大小:1.06kb
    • 提供者:qianwen
  1. waterfill_block

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  2. Block Diagonal Waterfilling 功率注水模块-function Optimal_precoder = waterfill_block(H, P,Num_BS_RFchains) Returns optimal covariance matrix and capacity for block diagonal channel H, where H(:,:,1) is first channel, H(:,:,2) is 2nd
  3. 所属分类:source in ebook

    • 发布日期:2017-04-12
    • 文件大小:1.2kb
    • 提供者:ZhangXuan
  1. AOA3DLocBias

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  2. SensorPositons: (Dim x M) matrix, each column is a sensor position and first column is the reference sensor the sensors should not lie in one plane or line r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed M is t
  3. 所属分类:ELanguage

    • 发布日期:2017-04-12
    • 文件大小:1.28kb
    • 提供者:marcelonog29
  1. TDOALoc

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  2. SensorPositons: (Dim x M) matrix, each column is a sensor position and first column is the reference sensor the sensors should not lie in one plane or line r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed M is t
  3. 所属分类:ELanguage

    • 发布日期:2017-04-12
    • 文件大小:1.15kb
    • 提供者:marcelonog29
  1. Speech Encoding - Frequency Analysis MATLAB

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  2. The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov model (HMM). Consider there are n states in the HMM. The particular isolated speech sig
  3. 所属分类:语音合成与识别

    • 发布日期:2017-12-29
    • 文件大小:769kb
    • 提供者:Khan17
  1. Speech Processing Analysis - MATLAB

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  2. The number of states in GMM as the generative model of the frames is obtained using k-means algorithm. This also helps to initialize the mean vector and the covariance matrix of the individual state of the GMM. The training LPC frames collected fro
  3. 所属分类:语音合成与识别

    • 发布日期:2017-12-28
    • 文件大小:711kb
    • 提供者:Khan17
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