... problem This two- stage system was shown to reduce the convergence time, in terms of reaching a BER of 10−2 , by two orders of magnitude An added benefit is that the steadystate BER for the two- stage ... comparisons will be made under the condition that the LMS DFEonly and the two- stage structure have the same total number of taps The two- stage system’s adaptive implementation is superior due to the fact ... (·)H represents conjugate (Hermitian) transpose Note that there are two stages associated with the adaptive algorithm The first stage is the training phase, where known training symbols are used...
... allografts in two- stage reconstruction after failure of hip replacement due to infection J Bone Joint Surg 1991;73A:1460-1468 Haddad FS, Muirhead-Allwood SK, Manktelow AR, Bacarese-Hamilton I Two- stage ... The outcome of two- stage arthroplasty using a custom-made interval spacer to treat the infected hip J Arthroplasty 1997;12(6):615-623 12 McKenna PB, O’Shea K, Masterson EL Two- stage revision ... complications associated with prolonged recumbency are also avoided due to early mobilisation [33] Two- stage revision arthroplasty using ALC but without long-term systemic antibiotic therapy has also...
... (IJEE), Volume 1, Issue 4, 2010, pp.589-606 an air heat exchanger [4] Within this system, the two- stage porous media after-burner plays a key role in ensuring the complete conversion of the SOFC ... interest in the literature For example, Trimis and Durst [5] conducted two- section porous media zone experiments in which the two sections contained materials with different properties and porosities, ... study, numerical simulations are performed to analyze the premixed combustion problem within the two- stage porous media burner in the kW SOFC system developed by INER [4] In contrast to most previous...
... 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 ... Transformations • A Numerical Example 21.2 The Least- Squares Problem Geometric Interpretation • Statistical Interpretation 21.3 The Regularized Least- Squares Problem Geometric Interpretation • Statistical ... multiple rows 21.2 The Least- Squares Problem Now that we have explained the generic form of an array algorithm, we return to the main topic of this chapter and formulate the least- squares problem and...
... Regression classification model) will be used for further experiments on the two- stage architecture StageTwoStage One Figure A two- stage architecture We also tried to test how well query expansion could ... the goal to retrieve relevant documents (equivalent to the first stage in the two- stage architecture) We will also compare the two- stage approach with systems that applies automatic query expansion ... result of the first stage in the twostage architecture, one system that uses query expansion technique following the architecture in figure and two systems that apply the two6 IR Model For the...
... approach With our two- stage approach, we manage to get improvements on the F1 measure over existing approaches that model non-local dependencies At the same time, the simplicity of our two- stage ap1125 ... consistency information within a document using relatively ad hoc multi -stage labeling procedures Borth- 1127 wick (1999) used a two- stage approach similar to ours with CMM’s where Reference Resolution ... local feature weights and their non-local penalties to approximate inference We present a simple two- stage approach where our second CRF uses features derived from the output of the first CRF This...
... system The performance of our two- stage algorithm approaches that of the infeasible MMSE solution The loss in performance is less than 0.5 dB We also note that the two- stage solution consistently ... alternatives available for the pre-filter are inferior to the proposed two- stage solution The SMI solution also fails to outperform the two- stage solution in this complex channel The bit error rate for ... improvement in performance from the two- stage approach The performance of the system without a pre-filter is not good enough to sustain reliable communications The two- stage approach provides performance...
... system The performance of our two- stage algorithm approaches that of the infeasible MMSE solution The loss in performance is less than 0.5 dB We also note that the two- stage solution consistently ... alternatives available for the pre-filter are inferior to the proposed two- stage solution The SMI solution also fails to outperform the two- stage solution in this complex channel The bit error rate for ... improvement in performance from the two- stage approach The performance of the system without a pre-filter is not good enough to sustain reliable communications The two- stage approach provides performance...
... proposed two- stage method The multiple linear regression model-based LS method for IPD estimation is proposed in the expanded phase domain, Ωd The proposed method is composed of two stages: the ... expanded phase domain The proposed TDE method is composed of two stages: an LS-based TDE method estimates an initial delay at the first stage, and the estimated delay is applied to the sequential ... to the second stage of the proposed method The tracking performance of the conventional methods shows a similar trend to the previous result for a fixed speaker The proposed two- stage method (RLS)...
... system The performance of our two- stage algorithm approaches that of the infeasible MMSE solution The loss in performance is less than 0.5 dB We also note that the two- stage solution consistently ... alternatives available for the pre-filter are inferior to the proposed two- stage solution The SMI solution also fails to outperform the two- stage solution in this complex channel The bit error rate for ... improvement in performance from the two- stage approach The performance of the system without a pre-filter is not good enough to sustain reliable communications The twostage approach provides performance...
... are only two LOS FTs, this corresponds to two circles which intersect at two different points, resulting in an ambiguity of the MT location In this paper, we randomly select one of the two intersection ... (denoted with stars) and two MTs (denoted with circles) The environment is occupied with some obstructions (e.g., buildings, foliage, etc.) The MT-1 moves through the network while the MT-2 is ... propagation channel and the specific technology under consideration (e.g., cellular networks, wireless sensor networks, etc.) In this paper, we will model the term bi as an exponentially distributed...
... Doppler frequency of the pth path channel THE BLIND RECURSIVE LEASTSQUARES JOINT DETECTION AND ESTIMATION In Appendix A, recursive leastsquares algorithm is derived for the estimation of the MIMO ... MIMO channels, respectively Therefore, these two values seem to be the optimum training lengths APPENDICES A THE DERIVATION OF THE RECURSIVE LEASTSQUARES CHANNEL ESTIMATION ALGORITHM In this ... Section 2, the signal transmission model and the channel model are introduced In Section 3, the leastsquares algorithm is derived and extended as a joint blind channel detection and estimation algorithm...
... multipliers According to [15], these two modified algorithms are referred to as the quadratic correction leastsquares (QCLS) and linear correction leastsquares (LCLS), respectively Recently, ... 2 directly in a nonlinear leastsquares (NLS) or weighted leastsquares (WLS) framework Although optimum estimation performance can be attained, ... abbreviations and symbols AOA Angle-of-arrival CWLS Constrained weighted leastsquares CRLB Cram´ r-Rao lower bound e NLS Nonlinear leastsquares RSS Received signal strength TOA Time-of-arrival TDOA Time-difference-of-arrival...
... method where the difference between desired and equalized response is minimized directly in the leastsquares (LS) sense in the EQ filter calibration process Another conceptual categorization for ... equalization method that is of main interest in this paper is the direct EQ configuration by leastsquares Kautz filter design as shown in Figure 1(b) The equalizer, with impulse response hEQ (n), ... hT (n), (7) where (∗) is the convolution operator The direct equalization is provided by the leastsquares configuration [18]: the square error in the approximation (7) is minimized with respect...
... and quadrature-phase received signals can be written as Estimated data output (a) Tone two- stage MLE Tone two- stage MLE r(t) q ˜ ˜ − − rc1 (t) = Iq1 Gcc − Qq1 Gsc + Iq11 Gcc − Qq11 Gsc qq1 qq1 ... pq1 pq1 pq1 + Tone Nt−1 two- stage MLE y(t) = T τkl In (9a) and (9b) the G functions are composed of all the channel effects, and are considered to be the channel gain Two- Stage Maximum Likelihood ... Communications and Networking (n − 1)T nT Block #1 (n + 1)T 2nT Block #2 (a) t = t0 t = t0 Vc (t) Vs (t) From other diversity branches MLE stage #1 t = tn t = tn ˜ ac MLE stage #2 ˜ as ˜ acd Combiner...
... number of symbols are used (L = 60 ÷ 80 symbols) From Figures and 4, one can distinguish at leasttwo beneficial effects of oversampling: (1) a better MSE performance at medium and high SNRs, and ... MSK), and to flat/frequency-selective fading channels [17] D R Brillinger, “The comparison of least- squares and thirdorder periodogram procedures in the estimation of bifrequency,” Journal of Time ... “Frequency estimation and detection for sinusoidal signals with arbitrary envelope: a nonlinear least- squares approach,” in Proc IEEE Int Conf Acoustics, Speech, Signal Processing (ICASSP ’98), vol...
... frequency response performance Leastsquares and minimax (equiripple) stopbands can be obtained using the PCLS methods described in [6, 7, 8, 9] Neither leastsquares nor minimax stopbands are ... C0BUF C1BUF FD CSADD Input FD CSADD CSADD VCC GND TDS TDS INBUF TDS TWO S C0BUF TWO S C1BUF TWO S FD TA TA CSADD TA TDS TDS TDS TDS TWO S TA TA TA TDS TA TDS TA TDS TDS FD FD FD TA TA TA TA Output ... Sullivan, “Peak-constrained leastsquares optimization,” IEEE Trans Signal Processing, vol 46, pp 306– 321, February 1998 [7] J W Adams, “FIR digital filters with least- squares stopbands subject...
... combinatorics 10 (2003), #R21 2 Two- stage allocations Let m + n particles be thrown randomly, independently of each other into N cells, using the following two- stage procedure The first m particles ... preferences formed in the absence of a priori information? In this paper we introduce two- stage allocations At the first stage particles are allocated equiprobably The number of particles that fell into ... for the case of equiprobable allocations Indeed, we will show that √ πN Eν = + + o(1) for the two- stage procedure “the random choice of σ — the hashing of words with the same length” This expression...
... algorithm for generalized leastsquares A General principles The QR algorithm (S 1973 ; L & H 1974 ; V LOAN, 1976) AWSON AN , ANSON , TEWART for solving generalized leastsquares problems is described ... order and rank leastsquares solution to generalized with one (13) equal to the rank of X, q is the solution to or, equivalently, or, equivalently, That b is the generalized leastsquares solution ... Data available on more than two generations Biometrics, 33, 497-504 HOMPSON T R., 1979 Sire Evaluation Biometrics, 35, 339-353 AN V LOAN C.F., 1976 Lectures in leastsquares Technical Report TR...