An Improved Lattice Filter Structure with Minimum Roundoff Noise Gain

Huang, Chaogeng; Zhang, Hou-Qi; Xu, Hong; He, Xiongxiong; Lin, Jian

doi:10.1007/s00034-016-0247-1

“…The unit noise gain minimization of digital filters has been the subject of several researches during passed decades [1][2][3][4][5][6][7]. It is very important in the design of digital filters, to get a filter with minimum unit noise gain, where it is referred by the optimal filter structure [2, 8 and 9].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

JEEE

0

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In this work, a new and improved optimization approach that minimize the unit noise gain in state-space of digital filters is presented. The main idea is the formulation of the unit noise gain in the form of several variables function then can get the equivalent state-space by optimization method. From this new generalized matrix, a new state space is derived and guaranty the minimization of unit noise gain. From various simulations operated on different order digital filters, we show the superiority of the proposed Several Variables Function Optimization (SVFO) algorithm over existing method.

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“…The unit noise gain minimization of digital filters has been the subject of several researches during passed decades [1][2][3][4][5][6][7]. It is very important in the design of digital filters, to get a filter with minimum unit noise gain, where it is referred by the optimal filter structure [2, 8 and 9].…”

Section: Introductionmentioning

confidence: 99%

Implementation Analysis of Municipal Solid Waste Management in Dinanagar City of Punjab, India

2022

JEEE

0

View full text Add to dashboard Cite

In this work, a new and improved optimization approach that minimize the unit noise gain in state-space of digital filters is presented. The main idea is the formulation of the unit noise gain in the form of several variables function then can get the equivalent state-space by optimization method. From this new generalized matrix, a new state space is derived and guaranty the minimization of unit noise gain. From various simulations operated on different order digital filters, we show the superiority of the proposed Several Variables Function Optimization (SVFO) algorithm over existing method.

show abstract