Moving Average (MA) Filter
Performance Improvement of Wi-MAX System using QAM Modulation and Moving Average Filter
... IEEE 802.16 Wi-Max system has been simulated and found out results of its performance with different modulation techniques. Here to increase the performance of existing Wi-Max system we have also analyzed system with ...
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Automatic Signal Segmentation using the Fractal Dimension and Weighted Moving Average Filter
... Weighted Moving Average Filter The moving average filter regards each data point in the data window to be equally important when calculating the average ...A filter ...
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STBC Based MIMO System using Moving Average Filter and 2-PSK Modulation Scheme
... In Fig. 4.4 the Almouti STBC coding based system and modulation scheme is QAM. The QAM modulation scheme is simulated with different variations e.g. 2-PSK, 4- PSK and 8-PSK. The whole simulation repeated for 10 times. ...
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Separating precipitation and evapotranspiration from noise – a new filter routine for high resolution lysimeter data
... to filter noisy lysimeter data is (i) to introduce a smoothing routine, like a moving average with a certain averaging window, w, and then (ii) to apply a certain threshold value, δ, accounting for ...
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Image based stroke rate detection system for swim race analysis
... A five-step central differencing method was used to calculate the pseudo velocity of the swimmer; The velocity signal was smoothed using a five-point moving average filter; A sum of sine[r] ...
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Characterization and rejection of noise from in-cylinder pressure traces in a diesel engine
... five-point moving average filter and a zero-phase Butterworth filter to a noisy pressure ...essential filter parameters such as cut- off/corner frequency, order of the filter, ...
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Volume 3, Issue 4, April 2014 Page 353
... while moving due to human nature, which causes certain amount of ...a moving average filter, a high-pass filter, and normalization ...Using moving average filter we ...
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Development of a Low Cost ECG Data Acquisition Module
... a Moving Average (Smoothing) ...smoothing filter in the time domain but an exceptionally bad low-pass filter in the frequency domain with the roll-off very slow and stop-band attenuation ...
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Adaptive Strategies for Accelerating the Convergence of Average Cost Markov Decision Processes Using a Moving Average Digital Filter
... Note that the savings of the proposed algorithm for the second setting, though still appealing, are much less sig- nificant than those obtained for Poisson exogenous arri- val processes. This suggests that more modest ...
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An Improved Signal Segmentation Using Moving Average and Savitzky Golay Filter
... use moving av- erage and Savitzky-Golay ...ing average filter is easier and simpler than Savitzky-Go- lay filter, but performance of using Savitzky-Golay filter is better than ...
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Comparative Study on Forecasting Accuracy among Moving Average Models with Simulation and PALTEL Stock Market Data in Palestine
... k-time moving average to create a new time series, { y t } ...3-way moving average smoothing ...the average mean residual, the proposed model was significantly more effective in such ...
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A three pole filter understanding of the average value of a Fourier series and comparison with Hodrick Prescott filter
... analyzing average value of a complex- valued function that can be represented as a Fourier series satisfying a few realistic ...Hodrick-Prescott filter is ...
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Effect of Sample Size on the Control Limits of Exponentially Weighted Moving Average Distance Square Scheme
... weighted moving average, the ex- ponentially weighted moving average distance square scheme was introduced for joint monitoring of process mean and ...
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Censored time series analysis with autoregressive moving average models
... the average CH based on the imputation method is about 8,333 ...the average CH based on naive method is about 6,706 ...the average CH to be lower than what it should ...
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Modelling Stock Prices with Exponential Weighted Moving Average (EWMA)
... In this research paper, we have examined the daily returns of FTSE 100 Stock Prices of top 100 companies listed on London Stock Exchange from the thirtieth day of June 2009 to the first day of December 2014 and equally ...
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Stationary Time Series in Pricing
... Abstract: The methods for analyzing the dynamics of time series are compared in this study, the mechanisms for assessing the accuracy of value forecasting are examined, and a brief description of the models and examples ...
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On uniqueness of moving average representations of heavy tailed stationary processes
... several moving average representations, non- Gaussian linear processes have been shown to admit an essentially unique MA representation, under different regularity conditions on the MA coefficients and the ...
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Generalized Heteroskedasticity ACF for Moving Average Models in Explicit Forms
... This paper has investigated an important statistical problem concerning the autocorrelation function, ACF, in the presence of heteroscedasticity disturbances in q-th order moving, MA(q), models. We have derived ...
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ARIMA-M: A New Model for Daily Water Consumption Prediction, Based on the Autoregressive Integrated Moving Average Model and the Markov Chain Error Correction
... Abstract: Water resource is considered as a significant factor in development of regional environment and society. Water consumption prediction can provide important decision basis for the regional water supply ...
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Modelling And Forecasting Small Haplochromine Species (Kambuzi) Production In Malawi - A Stochastic Model Approach
... represented in Fig 2 and Table 1. The process of making the series stationary agrees with Guti´errez-Estrada et al. (2004) who showed that a good autoregressive model of order p (AR (p)) has to be stationary, and a good ...
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