A non-linear transform technique for a camera and laser 3-D scanner

2002 ◽  
Author(s):  
G.J. Power ◽  
Kefu Xue
Keyword(s):  
Non Linear ◽  
Linear Transform

Application of non-linear transform coding to image processing

2012 ◽  
Author(s):  
Jens Hocke ◽  
Erhardt Barth ◽  
Thomas Martinetz
Keyword(s):  
Image Processing ◽  
Transform Coding ◽  
Non Linear ◽  
Linear Transform

scholarly journals Exact Mechanical Hierarchy of Non-Linear Fractional-Order Hereditariness

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 673
Author(s):  
Gioacchino Alotta ◽  
Emanuela Bologna ◽  
Massimiliano Zingales
Keyword(s):  
Functionally Graded ◽  
State Variable ◽  
Linear Approach ◽  
Power Law Decay ◽  
Separable Kernel ◽  
Proposed Model ◽  
Non Linear ◽  
Linear Transform ◽  
Single Integral ◽  
Non Local

Non-local time evolution of material stress/strain is often referred to as material hereditariness. In this paper, the widely used non-linear approach to single integral time non-local mechanics named quasi-linear approach is proposed in the context of fractional differential calculus. The non-linear model of the springpot is defined in terms of a single integral with separable kernel endowed with a non-linear transform of the state variable that allows for the use of Boltzmann superposition. The model represents a self-similar hierarchy that allows for a time-invariance as the result of the application of the conservation laws at any resolution scale. It is shown that the non-linear springpot possess an equivalent mechanical hierarchy in terms of a functionally-graded elastic column resting on viscous dashpots with power-law decay of the material properties. Some numerical applications are reported to show the capabilities of the proposed model.

Non-linear transform for visualization, standardization and classification of ECG

2002 ◽  
Author(s):  
T. Stamkopoulos ◽  
N. Maglaveras ◽  
M. Strintzis ◽  
C. Pappas
Keyword(s):  
Non Linear ◽  
Linear Transform

scholarly journals Quality Controlled EMG Signal Compression using Linear and Non Linear Transforms

2019 ◽  
Vol 8 (12) ◽  
pp. 5885-5889
Keyword(s):  
Entire Range ◽  
Mean Square ◽  
Transform Method ◽  
Compression Factor ◽  
Emg Signal ◽  
Linear Transforms ◽  
Non Linear ◽  
Linear Transform ◽  
Band Limited ◽  
Mean Square Difference

In today’s era of telemedicine, data and graphical records are required to be transmitted over noisy, power limited and band limited channels. The effective compression is the best alternate to save time and bandwidth. For Electromyogram (EMG) signal, that are huge in data size, must be compressed in such a way so that can be recovered with minimum alterations. This work focused on the tuneable method to compress EMG signals, with linear and non linear transforms. The analysis is based upon compression factor (CF) and percentage root mean square difference (PRD). The results helps to conclude that non linear transform method have precedence over the linear transforms for almost entire range of user defined PRD (UPRD)

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