The rule, called boundary adaptation rule (BAR), directly adapts the boundary points demarcating the quantization intervals and minimizes the mean absolute error distortion. In this article the author extends the BAR concept towards the mean squared error distortion minimization in a high resolution ...
One of the methods is adaptive decision feedback equalizer based MSER (ADFEM) is Presented along with the minimum-mean-squared-error (MMSE) criterion and the least-square (LS) criterion, adopt the squared error as the performance measure. The proposed scheme adopts appropriate block floating ...
losses.mean_squared_error( gram_style_relu_1, gram_output_relu_1, weights=1e-4 ) @@ -564,6 +586,8 @@ def __init__(self, config, net_params): for key in config.keys(): config[key] = _utils.convert_shared_float_array_to_numpy(config[key]) _tf = _lazy_import_tensorflow()...
traditionallyoptimizedtoachievetheminimalmeansquarederror(MSE)undertheconstraintofalimitedbitbudget.However,MSEhasbeenwidelycriticizedforpoorlycorrelatingwithvisualperceptionofimagequality[1].AnexampleisshowninFig.1,whereaJPEGcompressedimageisevaluatedlocallytocreatethetheabsoluteerrormapandthestructuralsimilarity(SSIM)...
FinO-domain proteins are a widespread family of bacterial RNA-binding proteins with regulatory functions. Their target spectrum ranges from a single RNA pair, in the case of plasmid-encoded FinO, to global RNA regulons, as with enterobacterial ProQ. To a
(right) models.c,e,gBar graphs showing mean expression level and standard error of the mean (SEM) in primary tumor cells (green), dormant residual tumor cells (red), recurrent tumor cells (blue), and stromal cells from recurrent tumors (yellow), for genes associated with candidate dormancy...
Here,R=vt−xis the mean distance between the test particle and the measured particle. To avoid a horizon in the rest frame, we must have 2Φ′ < 1, and thus from Eq.(21) $$- 2\phi{\prime} = 2{{G\omega} \over R}(1 - {v^2}) < 1.$$ ...
To assign meanin√g to the limit of →∞ itself, too has to be expressed in some unit of energy, for example as , and that unit in return has to be defined by some measurement process. In general, the unit itself will depend on the scale that is probed in any one particular ...
Finally, a group based successive interference cancellation technique is proposed to further improve the performance of the FIR zero-forcing equalizer and that of the minimum mean squared error equalizer. Numerical results and comparisons with various schemes in literature are provided to demonstrate the...
The model parameters of 20 in vivo experiments (from 19 rats) were identified with high accuracy and the average root-mean squared (RMS) error between predicted and measured glucose concentration was 17.6mg/dl. Since the algorithm requires a relatively short (60-120min) observation time it can...