Regularized Kalman filtering in dynamic SPECT

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

Incremental multi-class semi-supervised clustering regularized by Kalman filtering

This paper introduces an on-line semi-supervised learning algorithm formulated as a regularized kernel spectral clustering (KSC) approach. We consider the case where new data arrive sequentially but only a small fraction of it is labeled. The available labeled data act as prototypes and help to improve the performance of the algorithm to estimate the labels of the unlabeled data points. We adop...

متن کامل

Kalman Filtering

Consider the following state space model (signal and observation model). Y t = H t X t + W t , W t ∼ N (0, R) (1) X t = F t X t−1 + U t , U t ∼ N (0, Q) (2)

متن کامل

Kalman Filtering in R

Support in R for state space estimation via Kalman filtering was limited to one package, until fairly recently. In the last five years, the situation has changed with no less than four additional packages offering general implementations of the Kalman filter, including in some cases smoothing, simulation smoothing and other functionality. This paper reviews some of the offerings in R to help th...

متن کامل

Kalman filtering for fuzzy discrete time dynamic systems

This paper uses Kalman filter theory to design a state estimator for noisy discrete time Takagi–Sugeno (T–S) fuzzy models. One local filter is designed for each local linear model using standard Kalman filter theory. Steady state solutions can be found for each of the local filters. Then a linear combination of the local filters is used to derive a global filter. The local filters are time-inva...

متن کامل

Dynamic Gaussian Force Field Controlled Kalman Filtering For Pointing Interaction

As human computer interaction is extending from the desk to the whole room, modalities allowing for distant interaction become more important. Distant interaction however, is inherently inaccurate. Assisting technologies, like force fields, sticky targets, and target expansion have been shown to improve pointing tasks. We present a new variant of force fields that are modeled using Gaussian dis...

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: PAMM

سال: 2007

ISSN: 1617-7061,1617-7061

DOI: 10.1002/pamm.200700819