NOISE REDUCTION OF TIME-SERIES SATELLITE DATA USING VARIOUS DE-NOISING ALGORITHMS
نویسندگان
چکیده
منابع مشابه
Energy-Based Wavelet De-Noising of Hydrologic Time Series
De-noising is a substantial issue in hydrologic time series analysis, but it is a difficult task due to the defect of methods. In this paper an energy-based wavelet de-noising method was proposed. It is to remove noise by comparing energy distribution of series with the background energy distribution, which is established from Monte-Carlo test. Differing from wavelet threshold de-noising (WTD) ...
متن کاملEntropy-Based Wavelet De-noising Method for Time Series Analysis
The existence of noise has great influence on the real features of observed time series, thus noise reduction in time series data is a necessary and significant task in many practical applications. When using traditional de-noising methods, the results often cannot meet the practical needs due to their inherent shortcomings. In the present paper, first a set of key but difficult wavelet de-nois...
متن کاملImage De-noising Using Wavelet Transform and Various Filters
The process of removing noise from the original image is still a demanding problem for researchers. There have been several algorithms and each has its assumptions, merits, and demerits. The prime focus of this paper is related to the pre processing of an image before it can be used in applications. The pre processing is done by de-noising of images. In order to achieve these de-noising algorit...
متن کاملAlgorithms for Segmenting Time Series
As with most computer science problems, representation of the data is the key to ecient and eective solutions. Piecewise linear representation has been used for the representation of the data. This representation has been used by various researchers to support clustering, classication, indexing and association rule mining of time series data. A variety of algorithms have been proposed to obtain...
متن کاملDe-Noising Of Speech Signal Using Adaptive Filter Algorithms
Interference or Noise is the major issue in any communication system. It has been used LMS and NLMS adaptive filters to de-noise the noisy signal and compare with the performance of these filters. Adaptive algorithms are the most effective and elementary. This paper investigates the noise cancellation capabilities of the adaptive filters.
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 Technical Research & Science
سال: 2020
ISSN: 2454-2024
DOI: 10.30780/specialissue-icaccg2020/016