Matches in SemOpenAlex for { <https://semopenalex.org/work/W1519474448> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W1519474448 abstract "In least-squares estimation problems, a desired signal d(n) is estimated using a linear combination of L successive data samples, [ x(n), x(n - 1), . . . , x(n-L+1) ]. The weight set W opt which minimizes the mean-square error between d(n) and the estimate is given by the product of the inverse data covariance matrix and the cross-correlation between the data vector and the desired signal, i.e. the P-vector. For those cases in which time samples of both the desired and data vector signals are available, a variety of adaptive methods have been proposed which will guarantee that an iterative weight vector W_{a}(n) converges (in some sense) to the optimal solution. Two which have been extensively studied are the recursive least-squares (RLS) method and the LMS gradient approximation approach. There are several problems of interest in the communication and radar environment in which the optimal least-squares weight set is of interest and in which time samples of the desired signal are not available. Examples can be found in array processing in which only the direction of arrival of the desired signal is known and in single channel filtering where the spectrum of the desired response is known a priori. One approach to these problems which has been suggested is the P-vector algorithm which is an LMS-like approximate gradient method. Although it is easy to derive the mean and variance of the weights which result with this algorithm, there has never been an identification of the corresponding underlying error surface which the procedure searches. The purpose of this paper is to suggest an alternative approach to providing adaptive solutions to problems in which samples of d(n) are unavailable. The method is based on the use of linearly-constrained minimum mean-square error methods. The constraint used is simply that the inner product of the filter weights with the known P-vector must be unity. The criterion employed is then minimization of total output power, subject to this constraint. Once this problem has been formulated, it can be readily implemented in either scalar or multi-channel form using the Generalized Sidelobe Canceller method. Both LMS-like and RLS algorithms may be employed to update the coefficients." @default.
- W1519474448 created "2016-06-24" @default.
- W1519474448 creator A5008642297 @default.
- W1519474448 creator A5064838566 @default.
- W1519474448 date "2005-03-24" @default.
- W1519474448 modified "2023-09-26" @default.
- W1519474448 title "Adaptive filtering without a desired signal" @default.
- W1519474448 cites W2021122567 @default.
- W1519474448 cites W2056296026 @default.
- W1519474448 cites W2111411409 @default.
- W1519474448 cites W2155112232 @default.
- W1519474448 doi "https://doi.org/10.1109/icassp.1987.1169735" @default.
- W1519474448 hasPublicationYear "2005" @default.
- W1519474448 type Work @default.
- W1519474448 sameAs 1519474448 @default.
- W1519474448 citedByCount "4" @default.
- W1519474448 crossrefType "proceedings-article" @default.
- W1519474448 hasAuthorship W1519474448A5008642297 @default.
- W1519474448 hasAuthorship W1519474448A5064838566 @default.
- W1519474448 hasConcept C102248274 @default.
- W1519474448 hasConcept C104267543 @default.
- W1519474448 hasConcept C105795698 @default.
- W1519474448 hasConcept C111472728 @default.
- W1519474448 hasConcept C11413529 @default.
- W1519474448 hasConcept C126255220 @default.
- W1519474448 hasConcept C138885662 @default.
- W1519474448 hasConcept C145249878 @default.
- W1519474448 hasConcept C178650346 @default.
- W1519474448 hasConcept C183877218 @default.
- W1519474448 hasConcept C185142706 @default.
- W1519474448 hasConcept C185429906 @default.
- W1519474448 hasConcept C199360897 @default.
- W1519474448 hasConcept C202444582 @default.
- W1519474448 hasConcept C2779843651 @default.
- W1519474448 hasConcept C32617633 @default.
- W1519474448 hasConcept C33923547 @default.
- W1519474448 hasConcept C41008148 @default.
- W1519474448 hasConcept C51568863 @default.
- W1519474448 hasConcept C554190296 @default.
- W1519474448 hasConcept C75553542 @default.
- W1519474448 hasConcept C76155785 @default.
- W1519474448 hasConcept C9936470 @default.
- W1519474448 hasConceptScore W1519474448C102248274 @default.
- W1519474448 hasConceptScore W1519474448C104267543 @default.
- W1519474448 hasConceptScore W1519474448C105795698 @default.
- W1519474448 hasConceptScore W1519474448C111472728 @default.
- W1519474448 hasConceptScore W1519474448C11413529 @default.
- W1519474448 hasConceptScore W1519474448C126255220 @default.
- W1519474448 hasConceptScore W1519474448C138885662 @default.
- W1519474448 hasConceptScore W1519474448C145249878 @default.
- W1519474448 hasConceptScore W1519474448C178650346 @default.
- W1519474448 hasConceptScore W1519474448C183877218 @default.
- W1519474448 hasConceptScore W1519474448C185142706 @default.
- W1519474448 hasConceptScore W1519474448C185429906 @default.
- W1519474448 hasConceptScore W1519474448C199360897 @default.
- W1519474448 hasConceptScore W1519474448C202444582 @default.
- W1519474448 hasConceptScore W1519474448C2779843651 @default.
- W1519474448 hasConceptScore W1519474448C32617633 @default.
- W1519474448 hasConceptScore W1519474448C33923547 @default.
- W1519474448 hasConceptScore W1519474448C41008148 @default.
- W1519474448 hasConceptScore W1519474448C51568863 @default.
- W1519474448 hasConceptScore W1519474448C554190296 @default.
- W1519474448 hasConceptScore W1519474448C75553542 @default.
- W1519474448 hasConceptScore W1519474448C76155785 @default.
- W1519474448 hasConceptScore W1519474448C9936470 @default.
- W1519474448 hasLocation W15194744481 @default.
- W1519474448 hasOpenAccess W1519474448 @default.
- W1519474448 hasPrimaryLocation W15194744481 @default.
- W1519474448 hasRelatedWork W1501802998 @default.
- W1519474448 hasRelatedWork W1678092704 @default.
- W1519474448 hasRelatedWork W1717446029 @default.
- W1519474448 hasRelatedWork W1965442904 @default.
- W1519474448 hasRelatedWork W1975288252 @default.
- W1519474448 hasRelatedWork W2005967029 @default.
- W1519474448 hasRelatedWork W2019109831 @default.
- W1519474448 hasRelatedWork W2021352782 @default.
- W1519474448 hasRelatedWork W2027821061 @default.
- W1519474448 hasRelatedWork W2073285673 @default.
- W1519474448 hasRelatedWork W2075608361 @default.
- W1519474448 hasRelatedWork W2080823928 @default.
- W1519474448 hasRelatedWork W2096670551 @default.
- W1519474448 hasRelatedWork W2107012245 @default.
- W1519474448 hasRelatedWork W2117451445 @default.
- W1519474448 hasRelatedWork W2120916568 @default.
- W1519474448 hasRelatedWork W2152801638 @default.
- W1519474448 hasRelatedWork W2162787305 @default.
- W1519474448 hasRelatedWork W2811763206 @default.
- W1519474448 hasRelatedWork W3054882603 @default.
- W1519474448 isParatext "false" @default.
- W1519474448 isRetracted "false" @default.
- W1519474448 magId "1519474448" @default.
- W1519474448 workType "article" @default.