Blind adaptive estimation of KLT basis vectors

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Blind adaptive estimation of KLT basis vectors

An algorithm for estimating the basis vectors used in the Karhunen-Loeve Transform (KLT) is described. The algorithm is “blind” in the sense that it utilizes minimal information about the data vector being encoded. It is capable of estimating the KLT basis vectors using only the KLT coefficients and one additional scalar quantity. This eliminates the need to repeatedly encode and transmit the K...

متن کامل

Eastern Mediterenian University Department of Electrical & Electronic Engineering Detection and Estimation Theory Ee 574 Project Report Video Coding and Decoding Using the Non Adaptive Estimation and Blind Adaptive Estimation of Klt Basis Vectors

VIDEO CODING AND DECODING USING BLIND NON ADAPTIVE ESTIMATION AND ADAPTIVE ESTIMATION OF KLT BASIS VECTORS An approach to video encoding and decoding by using three different algorithms techniques is discussed in this project. These methods can be used to estimate the basis vectors used by Karhunen-Loeve Transform (KLT) for encodıng and decodıng of the frames in a video sequences. The first met...

متن کامل

Blind KLT Coding

We describe several methods for coding signals via the Karhunen-Loeve Transform (KLT) which do not require the encoding and transmission of the KLT basis vectors.

متن کامل

Uncertainty Estimation for KLT Tracking

The Kanade-Lucas-Tomasi tracker (KLT) is commonly used for tracking feature points due to its excellent speed and reasonable accuracy. It is a standard algorithm in applications such as video stabilization, image mosaicing, egomotion estimation, structure from motion and Simultaneous Localization and Mapping (SLAM). However, our understanding of errors in the output of KLT tracking is incomplet...

متن کامل

36Neural Estimation of Basis Vectors in Independent Component Analysis

Independent Component Analysis (ICA) is a recently developed, useful extension of standard Principal Component Analysis (PCA). The associated linear model is used mainly in source separation, where only the coeecients of the ICA expansion are of interest. In this paper, we propose a neural structure related to nonlinear PCA networks for estimating the basis vectors of ICA. This ICA network cons...

متن کامل

ذخیره 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: IEEE Transactions on Signal Processing

سال: 2001

ISSN: 1053-587X

DOI: 10.1109/78.928690