In vivo multiple spin echoes (MSE) images of bone marrow in trabecular bone were obtained for the first time on a clinical 1.5 T scanner. Despite of a reduced sensitivity of the MSE trabecular bone images with respect to the cerebral matter ones, it is possible to observe some features in the MSE trabecular bone images that may be useful in the diagnosis of osteopenic states. Two different CRAZ...

The heart begins to beat before the brain is formed. Whether conventional hierarchical central commands sent by the brain to the heart alone explain all the interplay between these two organs should be reconsidered. Here, we demonstrate correlations between the signal complexity of brain and cardiac activity. Eighty-seven geriatric outpatients with healthy hearts and varied cognitive abilities ...

The problem of forming images that are optimal with respect to a Mean Square Error (MSE) criterion, based on nite data, is considered. First, it is shown that the MSE criterion is consistent with the general goal of classifying images, in that decreasing the MSE guarantees a decrease in the probability of misclassifying an image. The problem of choosing sampling locations for image formation th...

Aims and method To investigate medical students' performance at and perceptions of the mental state examination (MSE) at a medical school with a modern integrated curriculum. We undertook an evaluative case study comprising a survey and analysis of performance data. The study is presented in two parts: part 2 reports the students' performance data as assessed by integrated structured clinical e...

To the web user, a Meta Search Engine (MSE) appears much like a regular search engine (SE). MSE, unlike an SE does not have an index. Instead, it dynamically queries multiple search engines; extracts, fuses and re-ranks results and presents to users. Generally, an MSE is developed from scratch even if the focus is on improving fusion ranking, query modification or domain specific search. This p...

We deal with centralized and distributed rate-constrained estimation of random signal vectors performed using a network of wireless sensors (encoders) communicating with a fusion center (decoder). For this context, we determine lower and upper bounds on the corresponding distortion-rate (D-R) function. The nonachievable lower bound is obtained by considering centralized estimation with a single...

An FIR multiple-input multiple-output (MIMO) filter communication system is optimized by minimizing the block decision point mean square error (MSE) between the desired vector and the input vector to the decision unit. Decision feedback is included in the receiver such that the receiver contains both feedforward and feedback linear FIR MIMO filters. The FIR MIMO transfer functions that model th...

• Temporal correlation between the desired and interfering signals is considered. Relaxed zero-forcing (RZF) beamformer uses an ellipsoidal constraint. Ellipsoidal constraint bounds interference leakage at output of beamformer. Analytic expression MSE RZF presented for two-user case. Efficacy brain activity reconstruction with EEG shown by simulations. The relaxed a quadratically-and-linearly c...

The goal of this paper is to characterize the best achievable performance for the problem of estimating an unknown parameter having a sparse representation. Specifically, we consider the setting in which a sparsely representable deterministic parameter vector is to be estimated from measurements corrupted by Gaussian noise, and derive a lower bound on the mean-squared error (MSE) achievable in ...

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*...