Energy Computation for Bci Using Dct and Moving Average Window for Noise Smoothening
نویسندگان
چکیده
منابع مشابه
Energy Computation using DCT for Brain Computer Interface
Brain computer interface systems are capable to detect and interpret the mental activity into computer interpretable signals giving opportunity for performing computer controlled activities without muscular movement. An challenging area in Brain Computer Interface research is the classification of EEG signals using the raw signals captured which has to undergo some preprocessing, so that the ri...
متن کاملRobust Audio Watermarking Algorithm Based on Moving Average and DCT
Noise is often brought to host audio by common signal processing operation, and it usually changes the high-frequency component of an audio signal. So embedding watermark by adjusting low-frequency coefficient can improve the robustness of a watermark scheme. Moving Average sequence is a low-frequency feature of an audio signal. This work proposed a method which embedding watermark into the max...
متن کاملUsing a Fuzzy Auto Regressive Integrated Moving Average Model for Exchange Rate Forecasting
Forecasting models have wide applications in decision making. In the real world, rapid changes normally take place in different areas, specifically in financial markets. Collecting the required data is a main problem for forecasters in such unstable environments. Forecasting methods such as Auto Regressive Integrated Moving Average (ARIMA) models and also Artificial Neural Networks (ANNs) need ...
متن کاملUsing a Fuzzy Auto Regressive Integrated Moving Average Model for Exchange Rate Forecasting
Forecasting models have wide applications in decision making. In the real world, rapid changes normally take place in different areas, specifically in financial markets. Collecting the required data is a main problem for forecasters in such unstable environments. Forecasting methods such as Auto Regressive Integrated Moving Average (ARIMA) models and also Artificial Neural Networks (ANNs) need ...
متن کاملMulti-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks
The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Science, Engineering and Applications
سال: 2012
ISSN: 2231-0088
DOI: 10.5121/ijcsea.2012.2102