scholarly journals Recognition of Handwritten Bangla Numerals using Adaptive Coefficient Matching Technique

2016 ◽  
Vol 89 ◽  
pp. 764-770 ◽  
Author(s):  
Amitava Choudhury ◽  
Alok Negi ◽  
Sanhita Das
Keyword(s):  
Matching Technique ◽  
Coefficient Matching

Synthesis of Active RC All-Pass Networks

1980 ◽  
Vol 17 (3) ◽  
pp. 265-270
Author(s):  
C. F. Ho
Keyword(s):  
Second Order ◽  
Simple Method ◽  
Matching Technique ◽  
Minimum Number ◽  
Coefficient Matching

A simple method for the synthesis of a second order active RC all-pass network is discussed. It is essentially a coefficient matching technique. The synthesis gives a minimum number of capacitors network and the pole frequency is controlled by resistors only.

FIDDLE. Simultaneous Indexing and Structure Solution from Powder Diffraction Data using a Genetic Algorithm and Correlation Functions

2019 ◽  
Author(s):  
Carmen Guguta ◽  
Jan M.M. Smits ◽  
Rene de Gelder
Keyword(s):  
Genetic Algorithm ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Correlation Functions ◽  
Cross Correlation ◽  
Simultaneous Optimization ◽  
Powder Diffraction Data ◽  
Structure Solution ◽  
Matching Technique

A method for the determination of crystal structures from powder diffraction data is presented that circumvents the difficulties associated with separate indexing. For the simultaneous optimization of the parameters that describe a crystal structure a genetic algorithm is used together with a pattern matching technique based on auto and cross correlation functions.<br>

Validation of Graphoanalysis by “Global” or “Holistic” Method

1977 ◽  
Vol 44 (2) ◽  
pp. 403-410 ◽  
Author(s):  
James C. Crumbaugh ◽  
Emilie Stockholm
Keyword(s):  
Personality Assessment ◽  
Statistical Study ◽  
Handwriting Analysis ◽  
Expressive Movement ◽  
Projective Techniques ◽  
Matching Technique ◽  
Total Data ◽  
Holistic Method

Graphoanalysis is the most systematically developed and best researched of all methods of handwriting analysis (generically called graphology). This is a projective expressive movement that is neither better nor more poorly validated than most projective techniques as a means of personality assessment, which is inadequate because their subjectivity makes statistical study difficult. With all projective techniques “sign” or trait validation has been minimal, and the best validation has come from “global” or “holistic” methods. The present study presents a paradigm for the latter type of approach to handwriting analysis, using a matching technique with probabilities of 1/5, wherein five subjects were matched by people who knew them to one of five blind Graphoanalyses of the subjects' writing. This design is herein replicated five times, with total data significantly different from chance expectation ( p < .001), supporting the hypothesis that it is possible to evaluate personality through analysis of handwriting.

scholarly journals Optimum power transfer in RF front end systems using adaptive impedance matching technique

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohammad Alibakhshikenari ◽  
Bal S. Virdee ◽  
Leyre Azpilicueta ◽  
Chan H. See ◽  
Raed Abd-Alhameed ◽  
...  
Keyword(s):  
Impedance Matching ◽  
Adaptive Antenna ◽  
Power Transfer ◽  
Control Loops ◽  
Matching Networks ◽  
Front End ◽  
Rf Front End ◽  
Matching Technique ◽  
Digital Circuitry ◽  
Communications System

AbstractMatching the antenna’s impedance to the RF-front-end of a wireless communications system is challenging as the impedance varies with its surround environment. Autonomously matching the antenna to the RF-front-end is therefore essential to optimize power transfer and thereby maintain the antenna’s radiation efficiency. This paper presents a theoretical technique for automatically tuning an LC impedance matching network that compensates antenna mismatch presented to the RF-front-end. The proposed technique converges to a matching point without the need of complex mathematical modelling of the system comprising of non-linear control elements. Digital circuitry is used to implement the required matching circuit. Reliable convergence is achieved within the tuning range of the LC-network using control-loops that can independently control the LC impedance. An algorithm based on the proposed technique was used to verify its effectiveness with various antenna loads. Mismatch error of the technique is less than 0.2%. The technique enables speedy convergence (< 5 µs) and is highly accurate for autonomous adaptive antenna matching networks.

High compressive ghost imaging method based on discrete cosine transform using weight coefficient matching

2019 ◽  
Vol 66 (17) ◽  
pp. 1736-1743 ◽  
Author(s):  
Huazheng Wu ◽  
Xiangfeng Meng ◽  
Yurong Wang ◽  
Yongkai Yin ◽  
Xiulun Yang ◽  
...  
Keyword(s):  
Discrete Cosine Transform ◽  
Weight Coefficient ◽  
Imaging Method ◽  
Ghost Imaging ◽  
Cosine Transform ◽  
Coefficient Matching
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