Optimization of the filter response
Differential Evolution Particle Swarm Optimization for Digital Filter Design
... swarm optimization (PSO) and differential evolution particle swarm optimization (DEPSO) have been used here for the design of linear phase finite impulse response (FIR) ...ideal filter ...
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Filter Design Problems with Convex Optimization
... Subject to 1 / α ≤ R ( ) ( ) ω / T ω 2 < a , ω ∈ [ 0 , π ], R ( ) ω ≤ 0 , ω ∈ [ 0 , π ] In many applications we must add regularization constraints on the equalizer frequency response, to keep the magnitude or its ...
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FUZZY OPTIMIZATION USING EXTENDED KALMAN FILTER
... system response by blocking possible effects of measurement error based on Predictor- Corrector ...Kalman Filter approach to optimize the membership functions of the inputs and outputs of the fuzzy ...the ...
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Analysis of Optimization Methods in Multisteerable Filter Design
... an optimization equation for determining the best match of corner orientations in images; however, little research has been done on optimization techniques to solve this ...equation. Optimization ...
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Optimization algorithms for realizable signal-adapted filter banks
... With this phase feedback modification, which is a generalization of the one proposed in the previous chapter, the iterative algorithm not only still remains greedy, but also yields a better magnitude-type fit to the ...
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IIR Digital Filter Design Using Convex Optimization
... FIR filter designs, allpass filter designs face more challenges due to the same difficulties as encountered in IIR filter ...allpass filter is still defined by ...of optimization-based ...
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Infinite Impulse Response Filter Structures in Xilinx FPGAs
... Fixed-Point Implementations R Thus, optimization can be implemented here. However, the forward filter numerator coefficients are not symmetrical, but there are fewer of them. The denominator section stays ...
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Multipoint optimization of a loudspeaker impulse response
... Figure 57 - Harmonics distortions when stimulated with a 1 kHz pure tone. 4.3 Loudspeaker equalization The next step was to test our algorithm on our specific loudspeaker detailed in Chapter 2.2.2. The best way would ...
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Performance Analysis of Digital Fir Filter Using Bat Optimization
... paper, filter design procedure is analysed for the designing of finite impulse response (FIR) filter with wanted parameter details using two optimization techniques known as Bat and Particle ...
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Design of FIR Filter Using Novel Particle Swarm Optimization
... impulse response filter which is defined as impulse response is of infinite ...impulse response filters are stable, the design methods are generally linear, they can be realized effectively in ...
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Optimization of Adaptive MTI Filter
... suppression filter must be ...MTI filter is de- termined only by the weight vector, so the calculation of the weight vector is the core of the MTI process, according to different design methods, the optimal ...
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A Sequence-Filter Joint Optimization
... ‡ DEMR, ONERA, Université Paris-Saclay, Palaiseau, France e-mail: [email protected], [email protected], [email protected], [email protected] Abstract—This paper deals with the optimisation ...
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Particle filter with swarm move for optimization
... particle filter for optimization incorporated with the swarm move method in particle swarm optimization ...in optimization problem is designed as the observation/measurement in the state space ...
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DESIGN AND OPTIMIZATION OF LMS ADAPTIVE FILTER
... This paper presents our experience in implementing the Adaptive filter using Least Mean Square algorithm on MATLAB. Adaptive filters track the dynamic nature of a system and allow to eliminate time varying ...
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Optimization of Bilateral Filter for DICOM Images
... Bilateral Filter and Genetic Algorithm has been proposed to smooth and filter DICOM ...Bilateral Filter has three main aspects: Trigonometric Polynomials approximation, Quantization and ...
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On Iterative Unscented Kalman Filter using Optimization
... A. Kalman Filter The famous Kalman filter is the best linear unbiased esti- mator (BLUE) when the model (1) is linear, i.e., f (x t , w t ) = F x t + Gw t and h(x t ) = Hx t and, furthermore, efficient if ...
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A Kalman Filter Process for Energy Optimization in WSNs
... Kalman Filter Process for Energy Optimization in WSNs Imad Iala, Imane Dbibih, Ouadoudi Zytoune, Mohammed Rziza, and Driss Aboutajdine Abstract—Wireless sensor networks (WSNs) consist of a large number of ...
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Artificial Immune System for Bloom filter Optimization
... Bloom filter is a probabilistic and space efficient data structure designed to check the membership of an element in a ...Bloom filter may have configurable risk of false ...Bloom Filter (BBF) groups ...
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FIR filter optimization for video processing on FPGAs
... real-time video processing applications which involve FIR filters. Future work could be extended into different direc- tions. The examinations about the mismatch between cost model and synthesis results could be used to ...
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Spurious Response Suppression in Hairpin Filter Using CSRR Merged in the Filter Structure
... spurious response of the conventional hairpin ...frequency response. Therefore, the main filter and CSRRs could be designed ...sample filter at center frequency of 3 GHz has been designed, ...
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