Application of fast subspace decomposition to signal processing and communication problems. Abstract: The authors previously described a class of fast ...
Literature in the field of time series analysis indicates that signal subspace algorithms are widely used to solve the problems such as harmonic retrieval and ...
The authors previously described a class of fast subspace decomposition (FSD) algorithms. Though these algorithms can be applied to solve a variety of signal ...
Jul 17, 2020 · Subspaces are low-dimensional, linear portions of the entire signal space that are expected to contain (or be close to) a large part of the observable and ...
Application of fast subspace decomposition to signal processing and communication problems · Fast algorithms for updating signal subspaces · High-SNR asymptotics ...
Many recent signal processing techniques in various areas, e.g., array signal processing, system identification, and spectrum estimation, require a step of ...
Missing: problems. | Show results with:problems.
The proposed technique is applicable to both sparse and dense arrays, with nonuniform and asynchronous time sampling, and to dynamic arrays with moving sensors.
Oct 1, 1993 · A fast algorithm for signal subspace decomposition and its performance analysis. In: Proc. ICASSP. Vol. 5, Toronto, Canada, May, 3069-3072 ...
For cases in which the signal matrix is formed from a single-channel discrete-time signal, we show how one can further reduce com- putation in the fast ...
Missing: communication | Show results with:communication
Application of fast subspace decomposition to signal processing and communication problems. IEEE Trans. Signal Process., Vol. 42 (June 1994), pp. 1453-1461.