Abstract

The article describes an algorithm for predicting the future signals with the aid of past signal samples. In the real signal processing environment, the amplitude and unsystematic in phase signal are lead to more complex to estimation the signal, thereby, customer service is enhanced by forecast. The forecast of financial marketplace are usually done by means of Elliot wave theory. In this article possibility and applicability survey of the EW Theory is proposed in the paper towards the power of the signal forecast. In nature, the EW theory has free declining environment, and also uncomfortable based on the customer and base station and height of the antenna. The proposed algorithm has tested in real life conditions, considering both, the pedestrian persons and the people travelling at 60 Km/Hr. Consequently, the predicted result incorporates the practical signal strength based on increasing distribution utility, signal to intervention noise ratio (SNR) and instability at their subsequent time. The end result of the algorithm shows 68% of successful prediction.

Highlights

  • Desire for everyone will be to predict something which happens ahead

  • “Golden ration” is nothing but present value is divided by the previous value in the Fibonacci series, thereby the ratio is almost 1.618

  • In 1930’s Ralph Nelson Elliott, a professional accountant, developed the analytical tools and discovered the underlying social principles. He anticipated that market prices disclose in definite pattern as Elliott waves

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Summary

Introduction

Desire for everyone will be to predict something which happens ahead. In predict to forthcoming signal power prior to itself will support significantly in different field for instance wireless communication. In 1930’s Ralph Nelson Elliott, a professional accountant, developed the analytical tools and discovered the underlying social principles. In [1], the authors developed a predictive form of an evolving signal. The authors in [2] intended active regressive integrated moving normal (DRIMA) model using unsystematic method strategy the upcoming value was predicted. Predicting the periodic sustain and overall claim is a demanding job It can be definitely completed with the suggested method by means of fuzzy valuation. The authors in [4] developed a mobility based predictive bandwidth reservation arrangement, which offers flexible procedure regardless of restricted resources in wireless communication network, as flexible usage. The Elliott Wave sequence defined to Fibonacci levels is as follows. Wave-3 subject to Wave-1 that reviews 1.618 or 2.618 or 4.23 times Wave-1. Wave-2 is governed and depend on Wave-1 that can go back up to 99% of Wave-1

Proposed Algorithm
Experimental Results
Volatility Analysis
Conclusions
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