Fast Waveguide Filter Synthesis, using the Mode Matching Method for Analysis and Practical Swarm Optimization

It consists of acombination of the most appropriate and reliablemethods and techniques of analysis, simulation andoptimization used in determined order and leading to afast and

Then, the trained networks are applied to modeling waveguide filter structures .The results obtained using teaching-learning based optimization neural networks (TLBO-NN) algorithms

To validate the training of neural networks using the proposed algorithm, its results for waveguide microwave structures modeling are compared with the results obtained using

Starting from the filter specifications (order of the filter, position of zeros, band- edge frequencies, and passband return loss) our aim was to realize one program that

The result is shown in Figure 4(b), the coefficients before optimization (obtained with the pseudo-inverse method) are also displayed. It is clear that the impulse responses

Level 1 Level 2 Event Filter RoI Detectors Frontend Pipelines Region of Interest Readout Buffers Event Builder Buffers & Processing Farms Data Storage 1 GHz 75 (100) kHz 1 kHz

(b) The desired firing rate specifies a working memory behavior: when the amplitude of the input reaches a threshold, the stimulus enters the working memory and stays there until

L’indication de remplacement valvulaire au cours d’une chirurgie de pontages coronaires ne se discute pas lorsqu’il existe une sténose aortique serrée ou lorsque le