Mixed signal dynamical environment modeling

Details Mixed signal dynamical environment modeling Mixed signal dynamical environment modeling

2005-02-22

2005-02-22

Abebe, Daniel (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

C370S268000

Reexamination Certificate

active

06859772

ABSTRACT:
A device (2) and method (20) for providing a balanced parameterized description of a dynamical environment having a plurality of signal sources. The method (20) includes inverse transforming (25) an initial reduced cost set of discrete time parameters into a reduced cost set of continuous time parameters and then converting (26) the reduced cost set of continuous time parameters into a balanced converted set of parameters. A transforming step (26) for transforming the balanced converted set of parameters into a modified set of discrete time parameters is then effected and thereafter an estimating step (28) estimates from the modified set of discrete time parameters a balanced reduced cost set of discrete time parameters. Steps (25) to (28) are repeated until the balanced reduced cost set of discrete time parameters provides a rate of change value of a cost function that reaches a pre-determined value. A providing step (30) provides for the balanced parameterized description of the dynamical environment from the balanced reduced cost set of discrete time parameters. Order reducing (31) and inverting steps (32) provide for an inverted reduced cost set of discrete time parameters.

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Ct. Chou and J.M. Maciejowski, “System Identification Using Balanced Parametrization”,IEEE Trans. Automatic Control, vol. 42, pp. 956-974, 1997.

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