Variance
共 26 篇文章
Variance 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 26 篇文章，持续更新中。
04 calgary PhD Modeling Inertial Sensors Errors Using Allan Variance.pdf
资料->【E】光盘论文->【E1】斯坦福博士论文->04 calgary PhD Modeling Inertial Sensors Errors Using Allan Variance.pdf
EDA分布估计算法经典论文
压缩包中有5篇论文，分别为《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》这是一篇博士论文，较为详细的介绍了各种EDA算法；《Anisotropic adaptive variance scaling for Gaussian estimation of
This file is a function under matlab which allow to compute several statistical parameter of random
This file is a function under matlab which allow to compute several statistical parameter of random signal such as variance, power, mean values, std, ...
使用INTEL矢量统计类库的程序,包括以下功能:  Raw and central moments up to 4th order  Kurtosis and
使用INTEL矢量统计类库的程序,包括以下功能:
 Raw and central moments up to 4th order
 Kurtosis and Skewness
 Variation Coefficient
 Quantiles and Order Statistics
 Minimum
This program uses Markowitz portofolio theory to find combination of stocks in a portfolio which has
This program uses Markowitz portofolio theory to find combination of stocks in a portfolio which has minimum variance for expected returns
DSP算法 PROGRAM TO FIND MIN, MAX, MEAN AND VARIANCE OF RECORDS IN AN EXISTING DSP DATA FILE
DSP算法
PROGRAM TO FIND MIN, MAX, MEAN AND VARIANCE OF RECORDS
IN AN EXISTING DSP DATA FILE
This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error for network
％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
％ counterparts.
ofdm信道特性 Channel transmission simulator Channel transmission simulator ％ ％ inputs: ％ sig2 - noi
ofdm信道特性
Channel transmission simulator
Channel transmission simulator
％
％ inputs:
％ sig2 - noise variance
％ Mt - number of Tx antennas
％ Mr - number of Rx antennas
％ x - vector of complex inp
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the princ
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variabl
DAKOTA
Computational models are commonly used in engineering design and scientific discovery activities for simulating<br />
complex physical systems in disciplines such as fluid mechanics, structural dynami
Calculates the Variance Ratio Test of a time series, with or without the heteroskedasticity correcti
Calculates the Variance Ratio Test of a time series, with or without the heteroskedasticity correction.
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 pl
We present a particle filter construction for a system that exhibits time-scale separation. The sep
We present a particle filter construction for a system that exhibits
time-scale separation. The separation of time-scales allows two simplifications
that we exploit: i) The use of the averaging prin
This paper examines the asymptotic (large sample) performance of a family of non-data aided feedfor
This paper examines the asymptotic (large sample) performance
of a family of non-data aided feedforward (NDA FF) nonlinear
least-squares (NLS) type carrier frequency estimators for burst-mode
phase
This program reads iid zero-mean unit-variance Gaussian variates
This program reads iid zero-mean unit-variance Gaussian variates
This functions returns the variance of vector elements
This functions returns the variance of vector elements
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archiv
Routine mar1psd: To compute the power spectum by AR-model parameters. Input parameters: ip : AR
Routine mar1psd: To compute the power spectum by AR-model parameters.
Input parameters:
ip : AR model order (integer)
ep : White noise variance of model input (real)
ts : Sample interval in se
This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error.
％
％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the
％ final prediction e
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 Gaussia