Title :
Adaptive Parallel Processing Algorithm in Digital Signal Series
Author :
Zhengxiang, Qian ; Hua, Xu ; Ai, Ye ; Wangchunlong
Abstract :
During vector predictive coding of digital signal series, the vector signal series, obtained by grouping adjacent samples of sources signal series, can approximate to a vector autoregressive series with stable covariance. This paper, applying the orthogonal projection principle of Hilbert space, attempts to formulate a vector predictive coding strategy highly capable of parallel processing and to deduce from this strategy an adaptive parallel processing algorithm, which, compared with traditional lattice algorithms, has improved remarkably in calculation complexity and storage space.
Keywords :
Hilbert spaces; adaptive signal processing; autoregressive processes; digital signals; linear predictive coding; Hilbert space; adaptive parallel processing; digital signal series; orthogonal projection; vector autoregressive series; vector predictive coding; Adaptive algorithm; Instruments; Lattices; Least squares approximation; Least squares methods; Parallel processing; Predictive coding; Signal processing; Signal processing algorithms; Vectors; adaptive algorithm; data signal series; parallel processing; vector prediction;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350913
