This paper considers the least mean squared error linear estimation problem in distributed parameter systems with uncertain observations. The recursive equations for the optimal linear estimator are obtained using a o...
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This paper considers the least mean squared error linear estimation problem in distributed parameter systems with uncertain observations. The recursive equations for the optimal linear estimator are obtained using a orthogonal projection approach. The resolution of the infinite-dimensional algorithm is also presented here. For this, the expansion of the estimators into eigenfunction series is considered and an algorithm for the coefficients of the series is derived.
Although integrated-circuit technology promises to reduce the cost of logic, there are still situations where low-cost multiplication and/or division algorithms.must be implemented in today"s technology. This can...
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Although integrated-circuit technology promises to reduce the cost of logic, there are still situations where low-cost multiplication and/or division algorithms.must be implemented in today"s technology. This can be accomplished by the algorithms.presented here: repetitive addition (subtraction) algorithms.for multiplication (division), employing a right shift. The result of the operation is truncated, which limits the accurqcy but reduces significantly the amount of intermediate storage required. The degree of accuracy is quite adequate for selected applications.
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