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 seconds (real) a : Complex array of AR parameters a(0) to a(ip) Output parameters: psdr : Real array of ...
/dl/161961.html
标签： parameters AR-model Routine mar1psd
上传时间： 2015-06-09
上传用户：playboys0
This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...
/dl/165307.html
标签： approximation demonstrates capabilities Function
上传时间： 2014-01-01
上传用户：zjf3110
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 archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute suc ...
/dl/167785.html
标签： univariate and bivariate analysis
上传时间： 2015-06-23
上传用户：chongcongying
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 shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptoti ...
/dl/240334.html
标签： performance asymptotic examines non-data
上传时间： 2015-12-30
上传用户：225588
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 principle for the dimensional reduction of the system needed to solve for each particle and ii) the factor ...
/dl/241531.html
标签： construction separation time-scale particle
上传时间： 2016-01-02
上传用户：fhzm5658
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 variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA ...
/dl/289149.html
标签： Probabilistic Components Principal Analysis
上传时间： 2016-04-28
上传用户：qb1993225
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 input symbols (for MIMO, this is a matrix, where each column ％ is the value of the antenna outputs a ...
/dl/323173.html
标签： transmission simulator Channel inputs
上传时间： 2016-07-22
上传用户：kelimu
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 error estimate (fpe), the effective number of ％ weights in the network if the network has been train ...
/dl/384088.html
标签： generalization calculates prediction function
上传时间： 2014-12-03
上传用户：maizezhen
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. ％ ％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) ％ produces the fin ...
/dl/384094.html
标签： generalization calculates prediction function
上传时间： 2016-12-27
上传用户：脚趾头
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 ...
/dl/413138.html
标签： mean-square multiuser receiver project
上传时间： 2014-11-21
上传用户：ywqaxiwang
