PEVD algorithms
Row-shift corrected truncation of paraunitary matrices for PEVD algorithms
... iterative PEVD algorithms such as ...designing PEVD implementations for real applications on finite wordlength processors, a loss in pa- raunitarity is inevitable and can be carefully controlled with ...
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Impact of source model matrix conditioning on iterative PEVD algorithms
... (PEVD) algorithms have been suggested. At every step, these algorithms move various amounts of off-diagonal energy onto the diagonal, to eventually reach an approximate ...these algorithms ...
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Impact of fast-converging PEVD algorithms on broadband AoA estimation
... This section first defines the performance metrics for evaluating the use of PEVD algorithms within SSP-MUSIC in Sec. IV-A, before setting out two simulation scenarios in Sec. IV-B, over which these metrics ...
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Memory and complexity reduction in parahermitian matrix manipulations of PEVD algorithms
... of algorithms for the iterative calculation of a polynomial matrix eigenvalue decomposition (PEVD) have been ...The PEVD is a generalisation of the ordinary EVD and will diagonalise a parahermitian ...
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Complexity and search space reduction in cyclic-by-row PEVD algorithms
... The SMDCbR algorithm approximates the PEVD using a series of elementary paraunitary operations to iteratively diagonalise a parahermitian matrix R (z). Note that R (z) is the z-transform of a set of coefficient ...
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Efficient implementation of iterative polynomial matrix EVD algorithms exploiting structural redundancy and parallelisation
... tested PEVD algorithms is plotted against the ensemble-averaged elapsed system time at each iteration in ...other algorithms, but in a shorter ...
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Restricted update sequential matrix diagonalisation for parahermitian matrices
... iterative PEVD algorithms to a subset of lags around lag zero of a parahermitian matrix can bring performance gains with little impact on algorithm ...
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Sequential matrix diagonalization algorithms for polynomial EVD of parahermitian matrices
... iterative PEVD algorithms based on the second order sequential best rotation (SBR2) approach was proposed previously ...approximate PEVD [6], [20], ...
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A comparison of iterative and DFT-based polynomial matrix eigenvalue decompositions
... both algorithms’ complexities, it can be determined that SMD becomes significantly more complex for increasing spatial dimension N, while the DFT-based approach becomes significantly more complex for increasing ...
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Analysing the performance of divide-and-conquer sequential matrix diagonalisation for large broadband sensor arrays
... When truncation is employed, the eigenvectors and eigen- values output from PEVD algorithms are only able to approx- imately reconstruct the input matrix. DC-SMD also introduces a segmentation error in its ...
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ALGORITHMS ROBERT SEDGEWICK pdf
... Few algorithms with exponential running time are likely to be ap- propriate for practical use, though such algorithms arise naturally as “brute-force” solutions to ...engineered algorithms, more ...
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Algorithms (upload by spark plug 101) pdf
... about Algorithms in this way, it makes sense to start at the historical be- ginning of it all, where, in addition, the characters are familiar and the contrasts dramatic: numbers, primality, and ...
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Algorithms and Data Structures Niklaus Wirth pdf
... of algorithms represented by program ...abstract algorithms based on particular representations and structures of ...the algorithms applied to the data and that, vice versa, the structure and choice ...
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#8 pdf
... learning algorithms that cannot handle weighted training examples, a resampling mechanism, which samples training examples according to desired weights, can be used ...
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Algorithm Theory SWAT 2002 M Penttonen pdf
... fast algorithms for the problems we ...on algorithms in these classes allows us to derive o(n log n) algorithms for many of these ...dispersion algorithms have been provided before: Dispersion ...
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#9 pdf
... A number of techniques, e.g., multidimensional access methods [12] or fast approximate similarity search [16], have been developed for efficient computation of k-nearest neighbor distance[r] ...
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Algorithm Design John Kleinberg va Tardos pdf
... Worst-Case Running Times and Brute-Force Search To begin with, we will focus on analyzing the worst-case running time: we will look for a bound on the largest possible running time the a[r] ...
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Algoritmi approssimati pdf
... Questo algoritmo fornisce quindi una soluzione equivalente per fattore di approssimazione a quella dell’algoritmo greedy1, ma prescinde dalla conoscenza a priori del raggio di copertura [r] ...
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Algoritmi Avanzati II pdf
... III.3 Appli azioni al problema del usso massimo In questa sezione presentiamo un'appli azione dell'analisi ammortizzata per la valutazione della omplessità omputazionale di al uni algori[r] ...
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