A Weighted Mean Squared Error Approach Based on the Tchebycheff Metric in Multiresponse Optimization
نویسندگان
چکیده
منابع مشابه
Bayesian analysis for weighted mean-squared error in dual response surface optimization
Dual response surface optimization considers the mean and the variation simultaneously. The minimization of meansquared error (MSE) is an effective approach in dual response surface optimization. Weighted MSE (WMSE) is formed by imposing the relative weights, (k, 1−k), on the squared bias and variance components of MSE. To date, a few methods have been proposed for determining k. The resulting ...
متن کاملRoot Mean Squared Error
• Predictive Accuracy Measures. These measures evaluate how close the recommender system came to predicting actual rating/utility values. • Classification Accuracy Measures. These measures evaluate the frequency with which a recommender system makes correct/incorrect decisions regarding items. • Rank Accuracy Measures. These measures evaluate the correctness of the ordering of items performed b...
متن کاملSignature and Beamformer Optimization for MIMO-CDMA Based on the Mean Squared Error Criterion
We consider the uplink of a CDMA system where the transmitters as well as the receiver are equipped with multiple antennas. Each user transmits a weighted form of its symbol through its transmit antennas. In this work, we adopt the system-wide mean squared error as the performance measure and propose an alternating minimization based iterative algorithm to find the jointly optimum beamformers, ...
متن کاملMean-Squared Error Beamforming for Signal Estimation: A Competitive Approach
Beamforming is a classical method of processing temporal sensor array measurements for signal estimation, interference cancellation, source direction, and spectrum estimation. It has ubiquitously been applied in areas such as radar, sonar, wireless communications, speech processing, and medical imaging (see, for example, [1, 2, 3, 4, 5, 6, 7, 8] and the references therein.) Conventional approac...
متن کاملCompetitive Mean-Squared Error Beamforming
Beamforming methods are used extensively in a variety of different areas, where one of their main goals is to estimate the source signal amplitude s(t) from the array observations y(t) = s(t)a + i(t) + e(t), t = 1,2,..., where a is the steering vector, i(t) is the interference, and e(t) is a Gaussian noise vector [1, 2]. To estimate s(t), we may use a beamformer with weights w so that s(t) = w*...
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: Journal of the Korea Academia-Industrial cooperation Society
سال: 2015
ISSN: 1975-4701
DOI: 10.5762/kais.2015.16.1.97