A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising

2018 ◽  
Vol 54 (2) ◽  
pp. 729-761 ◽  
Author(s):  
Fan He ◽  
Xuansen He
Keyword(s):  
Economic Data ◽  
Wavelet Shrinkage ◽  
Shrinkage Function

Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

2017 ◽  
Vol 7 (8) ◽  
pp. 56
Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Human Perception ◽  
Histogram Equalization ◽  
Wavelet Shrinkage ◽  
Visual Appearance ◽  
Enhancement Method ◽  
Fuzzy Histogram ◽  
Rgb Image

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

Nonlinear Dynamics and Chaos: Application to Financial Markets in Pakistan

1994 ◽  
Vol 33 (4II) ◽  
pp. 1417-1429 ◽  
Author(s):  
Nasir M. Khiui
Keyword(s):  
Financial Markets ◽  
Chaotic Dynamics ◽  
Ad Hoc ◽  
Linear Models ◽  
Brain Research ◽  
Economic Data ◽  
Differential Equation Models ◽  
Short Run ◽  
The Business Cycle ◽  
Random Shocks

Recently there has been an increased interest in the theory of chaos by macroeconomists and fmancial economists. Originating in the natural sciences, applications of the theory have spread through various fields including brain research, optics, metereology, and economics. The attractiveness of chaotic dynamics is its ability to generate large movements which appear to be random, with greater frequency than linear models. Two of the most striking features of any macro-economic data are its random-like appearance and its seemingly cyclical character. Cycles in economic data have often been noticed, from short-run business cycles, to 50 years Kodratiev waves. There have been many attempts to explain them, e.g. Lucas (1975), who argues that random shocks combined with various lags can give rise to phenomena which have the appearance of cycles, and Samuelson (1939) who uses the familiar multiplier accelerator model. The advantage of using non-linear difference (or differential) equation models to explain the business cycle is that it does not have to rely on ad hoc unexplained exogenous random shocks.

Imputation Via Copula and Transformation Methods, With Applications to Financial and Economic Data

2010 ◽  
Author(s):  
Yangyong Zhang ◽  
Craig A. Friedman ◽  
Jinggang Huang ◽  
Wenbo Cao
Keyword(s):  
Economic Data ◽  
Transformation Methods

KAUTILYA ON THE SCOPE AND METHODOLOGY OF ACCOUNTING, ORGANIZATIONAL DESIGN AND THE ROLE OF ETHICS IN ANCIENT INDIA

2004 ◽  
Vol 31 (2) ◽  
pp. 125-148 ◽  
Author(s):  
Balbir S. Sihag
Keyword(s):  
Economic Development ◽  
Economic Performance ◽  
Organizational Design ◽  
Conflicts Of Interest ◽  
Critical Role ◽  
Ethical Values ◽  
Allocation Of Resources ◽  
Economic Data ◽  
Ancient India

Kautilya, a 4th century B.C.E. economist, recognized the importance of accounting methods in economic enterprises. He realized that a proper measurement of economic performance was absolutely essential for efficient allocation of resources, which was considered an important source of economic development. He viewed philosophy and political science as separate disciplines but considered accounting an integral part of economics. He specified a very broad scope for accounting and considered explanation and prediction as its proper objectives. Kautilya developed bookkeeping rules to record and classify economic data, emphasized the critical role of independent periodic audits and proposed the establishment of two important but separate offices - the Treasurer and Comptroller-Auditor, to increase accountability, specialization, and above all to reduce the scope for conflicts of interest. He also linked the successful enforcement of rules and regulations to their clarity, consistency and completeness. Kautilya believed that such measures were necessary but not sufficient to eliminate fraudulent accounting. He also emphasized the role of ethics, considering ethical values as the glue which binds society and promotes economic development.

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