equations consistency and least squares approximation

... Signal Processing and the respective inner iterations are three and two in the first and second outer iterations, and one in the others Figure 3(d) presents the final group-delay errors, and the errors ... maximally flat and weighted -least- squares variable fractional-delay filters,” IEEE Transactions on Circuits and Systems I, vol 54, no 12, pp 2718–2732, 2007 [11] J J Shyu, S C Pei, C H Chan, and Y D ... 1557–1564, 1987 [27] M Lang and T I Laakso, “Simple and robust method for the design of allpass filters using least- squares phase error criterion,” IEEE Transactions on Circuits and Systems II, vol 41,...

Ngày tải lên: 21/06/2014, 07:20

... kurtosis, and the delay statistics are evaluated using the mean excess delay and the root mean square (rms) delay spread of the received MPCs And third, to analyze different weighted least- squares ... mean and standard deviation of In(τ m ) and In(τ rms ) as well as the K-S passing rates are tabulated in Table 2, and their corresponding PDFs are depicted ˙ Ismail G¨ venc et al u ¸ in Figures and ... Correlation coefficient between two random variables R1 and R2 is given by ρR1 ,R2 = (E(R1 R2 ) − E(R1 )E(R2 ))/σ R1 σ R2 , where σ R1 and σ R2 are the standard deviations of R1 and R2 , respectively (13)...

Ngày tải lên: 22/06/2014, 19:20

... However, the SI estimator solves the linear equations via standard least squares (LS) without using the known relation between the intermediate variable and the position coordinate To improve the ... these two modified algorithms are referred to as the quadratic correction least squares (QCLS) and linear correction least squares (LCLS), respectively Recently, we have improved [18] the performance ... Processing Table 1: List of abbreviations and symbols AOA Angle-of-arrival CWLS Constrained weighted least squares CRLB Cram´ r-Rao lower bound e NLS Nonlinear least squares RSS Received signal strength...

Ngày tải lên: 22/06/2014, 23:20

... exponentials,” IRE Transactions on Circuit Theory, vol 9, pp 362–370, 1962 [25] H Brandenstein and R Unbehauen, Least- squares approximation of FIR by IIR digital filters,” IEEE Transactions on Signal Processing, ... scientific and engineering papers and contributed to organizing several conferences and workshops He is an AES Fellow and Silver Medalist as well as Member of IEEE (Institute of Electrical and Electronics ... between 80 Hz and 23 kHz (indicated by vertical lines in the middle of the figure) and R = 0.03 (see (15b)) After lowand high-frequency roll-off compensations to avoid boosting off-bands of the speaker,...

Ngày tải lên: 22/06/2014, 23:20

... other regulators, and rarely act independently Partial least squares regression Here we propose to employ the method of partial least squares regression [15] to infer true TFAs and the functional ... NL: Canonical partial least squares and continuum power regression J Chemometrics 2001, 15:85-100 Datta S: Exploring relationships in gene expressions: a partial least squares approach Gene Expression ... point time point Figure for the E Coli (top and middle row) and Spellman (bottom row) data sets Y-loadings Y-loadings for the E Coli (top and middle row) and Spellman (bottom row) data sets each...

Ngày tải lên: 13/08/2014, 23:20

... -~'-'-o/- ··.·i.: EQUATIONS, INEQUALIn~, BASIC EQUATIONS " ' & VIes In This Chapter • Solving One-Variable Equations • Simultaneous Equations: Solving by Substitution • Simultaneous Equations: Solving ... Simultaneous Equations: Three Equations • Mismatch Problems • Combo Problems: Manipulations • Testing Combos in Data Sufficiency • Absolute Value Equations BASIC EQUATIONS STRATEGY Chapter BASIC EQUATIONS ... x=7 9danliattan·6MAVPrep the new standard 15 Chapter BASIC EQUATIONS STRATEGY Simultaneous Equations: Three Equations The procedure for solving a system of three equations with three variables is...

Ngày tải lên: 24/07/2013, 11:00

... recursive least- squares (RLS) algorithms and the corresponding fast versions (known as FTF and FAEST), QR and inverse QR algorithms, least- squares lattice (LSL), and QR decomposition-based least- squares ... recursive least- squares algorithms (FTF and FAEST) were independently derived in [11] Carayannis, G., Manolakis, D., and Kalouptsidis, N., A fast sequential algorithm for least squares filtering and ... as in (21.23) 21.4 The Recursive Least- Squares Problem The recursive least- squares formulation deals with the problem of updating the solution w of a least squares problem (regularized or not)...

Ngày tải lên: 16/12/2013, 04:15

... location in visual perception and memory We will use this to try and explain the association between location and the fact presentation, and the independence of location memory and accuracy of the factual ... (0.44, 0.40 and 0.47 for ports 1, and 3, respectively) The mean ®xations per trial are summarized in Fig Tukey tests of pairwise contrasts between the critical port and ports 1, and reached signi®cance ... (0.63, 0.54 and 0.70 for ports 1, and 3, respectively) The mean ®xations per trial are summarized in Fig Tukey tests of pairwise contrasts between the critical port and ports 1, and reached signi®cance...

Ngày tải lên: 30/03/2014, 14:20

Ngày tải lên: 24/04/2014, 17:21

... “Common fixed points and best approximation, ” Journal of Approximation Theory, vol 85, no 3, pp 318–323, 1996 26 C E Chidume, J Li, and A Udomene, “Convergence of paths and approximation of fixed ... Chen and Li , Cho et al 27 , Khan and Akbar 22, 23 , Pathak and Hussain , Schu 28 and Vijayraju are extended to the class of asymptotically f-pseudocontraction maps Fixed Point Theory and Applications ... M is weakly compact and id − T is demiclosed at 0) and T, f and T, g are Banach operator pairs, then F T ∩ F f ∩ F g / ∅ Corollary 2.10 Let X be a Banach space and T, f, and g be self-maps of...

Ngày tải lên: 21/06/2014, 07:20

... signal transmission model and the channel model are introduced In Section 3, the least squares algorithm is derived and extended as a joint blind channel detection and estimation algorithm In ... Doppler frequency of the pth path channel THE BLIND RECURSIVE LEAST SQUARES JOINT DETECTION AND ESTIMATION In Appendix A, recursive least squares algorithm is derived for the estimation of the MIMO ... where δ is an arbitrary very large number and IM is the M × M identity matrix, (B) updating Rn and Qn in each snapshot using iterative equations, (A.7) and (A.8), (C) calculating the channel matrix...

Ngày tải lên: 22/06/2014, 22:20

... w(n), , w(n) , (22) The superscripts ∗ and H stand for conjugation and conjugate transposition, respectively The notations “re” and “im” stand for the real and imaginary parts, respectively Non-Data-Aided ... Swami, and A K Nandi, “Non-linear least squares estimation for harmonics in multiplicative and additive noise,” Signal Processing, vol 78, no 1, pp 43–60, 1999 [5] M Ghogho, A Swami, and T Durrani, ... + τ) e− j2παn e− j2π f τ , k=0 ˙ J(θ) :=  and S2e (α; f ) and S2e (α; f ) stand for the unconjugate and conjugate cyclic spectra of e(n) at cycle α and frequency f , defined as S2e (α; f ):= k...

Ngày tải lên: 23/06/2014, 01:20

... response performance Least squares and minimax (equiripple) stopbands can be obtained using the PCLS methods described in [6, 7, 8, 9] Neither least squares nor minimax stopbands are effective at ... passband for the filters with the hardware cost of 1144 and 668 LEs for Adams’ filter (95 taps, passband ripple = dB, passband cutoff = 0.125π rad, stopband cutoff = 0.1608π rad, and minimum stopband ... cost and PSR results for proposed rapid prototyping design method for Adams’ filter (95 taps, passband ripple = dB, passband cutoff = 0.125π rad, stopband cutoff = 0.1608π rad, and minimum stopband...

Ngày tải lên: 23/06/2014, 01:20

... Lemma predicts (at least) two distinct squares, and the squares constructed there are easily seen to be isotopic to C7 and the square A7 given in (3) For n = 9, Lemma predicts at least one main class ... rp and s1 , , sp corresponding to the rows and symbols respectively When such a graph is made from the entries in columns a and b of M , let the graph be called G and when the columns a and ... row and column are in the natural order 1, 2, 3, , n The total number of squares is a factor of n!(n − 1)! larger than the number of reduced squares. ) Order subsquares Main classes Reduced squares...

Ngày tải lên: 07/08/2014, 06:20

... o and& dquo; indicating solution, not parameter Equations (12) are identical to the mixed model equations for (9), therefore p and A are the best linear unbiased estimator and predictor of p and ... for j ¡ selection and no genetic groups are required in the model OLLAK P The utility of (11) generalized least squares is demonstrated by normal equations treating a as fixed and setting up the ... (breeding values) of animals with records in y,, random with mean zero and variance A and a;, l i e is the vector of residuals, random with mean zero and variance Iu’ i is The breeding value of the...

Ngày tải lên: 09/08/2014, 22:22

... include normal approximation and Poisson approximation In their simplest forms, normal approximation and Poisson approximation assert that the distribution of a sum of independent small random variables ... dependence, size bias couplings and exchangeable pairs were considered in Rinott and Rotar (1996), Goldstein and Rinott (1996), Chatterjee and Meckes (2008) and Reinert and R¨llin (2009) Although ... for normal approximation in one dimension for dependent random variables for both smooth and non-smooth functions On the other hand, Summary Stein’s method for multivariate normal approximation...

Ngày tải lên: 09/09/2015, 18:52

... least- squares (MLS) approximation Moving least- squares (MLS) is one of the most widely used approximation scheme used in meshfree methods It is originated by mathematicians for data fitting and ... introduced, namely, moving least- squares (MLS) approximation, polynomial point interpolation method (PIM) approximation and radial point interpolation method (RPIM) approximation The MLS shape ... novel meshfree smoothed least- squares (SLS) method 45 2.1 Introduction 45 2.2 Meshfree smoothed least- squares (SLS) formulation 47 2.2.1 General least- squares formulations...

Ngày tải lên: 11/09/2015, 16:07

... difficulty for the least squares semidefinite programming problems [6] Similarly we may also introduce smoothing functions for the least squares nonsysmetric matrix nuclear problems and design a Newton-BiCGStab ... (1997), pp 513-532 [6] Y Gao and D F Sun, Calibrating Least Squares Covariance Matrix Problems with Equality and Inequality Constraints, SIAM Journal on Matrix Analysis and Applications 31 (2009), ... Newton-BiCGStab method which was introduced for solving least squares semidefinite programming problems can be extended to solve the least squares nonsymmetric matrix nuclear norm problems v Chapter...

Ngày tải lên: 26/09/2015, 09:56

... shows how metabolomics and multivariate statistical methods such as Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) can be used to study and enhance understanding of two diseases ... Tandem mass spectrometry NMR Nuclear magnetic resonance OPLS Orthogonal projections to latent structures/ orthogonal partial least squares PCA Principal component analysis PLS Partial least squares/ ... kind and thoughtful help in obtaining and running the samples I also thank Professor Ong Choon Nam, NUS, for kindly agreeing to release the samples, and for his prompt replies to my questions and...

Ngày tải lên: 02/10/2015, 17:13