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MDLAIC
- 在MATLAB环境下开发的基于AIC和MDL准则的远场入射新号的数目估计，估计准确度都很高，仿真效果理想-Developed under the MATLAB environment, based on AIC and MDL criteria for the far-field incident estimated number of new numbers, it is estimated have a high accuracy, simulation results are satisf
xinyuanshumu
- 阵列信号的信源数目估计——AIC，MDL，HQ，EDC法得比较-Array signal source number estimation- AIC, MDL, HQ, EDC method comparatively
ddbmusic
- 不同信噪比下，利用MUSIC算法实现AIC,MDL,HQ,EDC-Different signal to noise ratio, the use of MUSIC algorithm AIC, MDL, HQ, EDC
DOA_zhunze
- DOA信号源估计，包含利用AIC,MDL,EDC,HQ四种准则，对于DOA估计的编程相当有用！malab程序验证-
source-number-estimation
- 源信号数目估计MATLAB程序，包括IAIC,AIC,MDL,IMDL，MEVARC等5种算法，可得到5种算法在不同信噪比条件下的估计准确率性能曲线。-The number of source signals to estimate the MATLAB program, including five kinds of IAIC, AIC, MDL, IMDL, MEVARC algorithm available algorithms estimated accuracy in differe
dsp
- 随机过程： ，其中 是均值为零、方差为1的白噪声， 、 是相互独立并在 上服从均匀分布的随机相位。采用AIC和MDL准则估计信号源个数，并且画出相应的MUSIC频率估计谱线。 要求：信号样本数为1000，估计的自相关矩阵为8阶。 -Stochastic process: where is zero mean and variance 1 white noise, are independent and uniformly distributed on a random phase. Es
MUSIC
- 负正弦加白噪声随机过程下使用MUSIC方法进行信号频率估计仿真，信号样本数去1000，估计的自相关矩阵为8阶，分别采用AIC和MDL准则估计信号源个数，并画出相应的MUSIC频率估计谱线。-Negative sine plus white noise random process method using MUSIC frequency estimation simulation, signal samples to 1000, the estimated autocorrelation mat
AICandMDL
- 经典的信息论准则估计信号源个数。 使用空间谱估计理论，模拟发射信号由天线阵列接受采样。经过AIC和MDL两种算法，估计出采样序列中信号的个数，所加噪声是白噪声。-Classical information theory for sources number estimation. It s spatial spectrum estimation theory. it analogs transmission signal from the antenna array . It uses tw
AIC_MDL
- AIC & MDL The Akaike information criterion (AIC) is a measure of the relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other m