نتایج جستجو برای: kuo scheme with minimum mean bias error mbe

تعداد نتایج: 9490058  

2017
Diane Palmer Ian Cole Tom Betts

Plane-of-array (PoA) irradiation data is a requirement to simulate the energetic performance of photovoltaic devices (PVs). Normally, solar data is only available as global horizontal irradiation, for a limited number of locations, and typically in hourly time resolution. One approach to handling this restricted data is to enhance it initially by interpolation to the location of interest; next,...

2001
Are Hjørungnes Tapio Saramäki

Theory for jointly optimizing nonuniform analysis and synthesis FIR filter banks with arbitrary filter lengths and an arbitrary delay through the filter bank is developed. The FIR subband coder is optimized with respect to the minimum mean square error between the output and the input signals under a bit constraint. The subband quantizers are modeled as additive noise sources. Theoretical compa...

2006
NATTAPONG PHANTHUNA FUSAK CHEEVASUVIT SAKREYA CHITWONG

Abstract: This Research presents the image enhancing using a mean-separate histogram equalization method. It can preserve the original brightness to a certain extends. To provide maximum brightness preservation, . it separates the input image’s histogram into 2 based on input mean before equalizing them independently. The image initially is separated from 2 ,4 and 8 class by calculated threshol...

1999
Wen-Jan CHEN Shen-Chuan TAI Po-Jen CHENG

In this letter, a new scheme of designing twolevel minimum mean square error quantizer for image coding is proposed. Genetic algorithm is applied to achieve this goal. Comparisons of results with various methods have verified, the proposed method can reach nearly optimal quantization with only less iterations. key words: genetic algorithm, block truncation coding, two-level quantizer

Journal: :Remote Sensing 2022

The Statistical Errors Raster Toolbox includes models of the most popular error metrics in interdisciplinary literature, namely, root mean square (RMSE), normalized (NRMSE), bias (MBE), (NMBE), absolute (MAE) and (NMAE), for computing areal errors any raster file .tiff format as compared with a reference file. are applicable to size files, no matter if no-data pixels included. only prerequisite...

The true MR signal intensity extracted from noisy MR magnitude images is biased with the Rician noise caused by noise rectification in the magnitude calculation for low intensity pixels. This noise is more problematic when a quantitative analysis is performed based on the magnitude images with low SNR(<3.0). In such cases, the received signal for both the real and imaginary components will fluc...

Journal: :IEEE Trans. Signal Processing 2002
Michael Tüchler Andrew C. Singer Ralf Koetter

A number of important advances have been made in the area of joint equalization and decoding of data transmitted over intersymbol interference (ISI) channels. Turbo equalization is an iterative approach to this problem, in which a maximum a posteriori probability (MAP) equalizer and a MAP decoder exchange soft information in the form of prior probabilities over the transmitted symbols. A number...

Journal: :IEEE Trans. Information Theory 2011
Neri Merhav

We derive a simple general parametric representation of the rate–distortion function of a memoryless source, where both the rate and the distortion are given by integrals whose integrands include the minimum mean square error (MMSE) of the distortion ∆ = d(X, Y ) based on the source symbol X , with respect to a certain joint distribution of these two random variables. At first glance, these rel...

2011
Çag̃atay Candan

Some connections between linear minimum mean square error estimators, maximum output SNR filters and the least square solutions are presented. The notes have been prepared to be distributed with EE 503 (METU, Electrical Engin.) lecture notes. 1 Linear Minimum Mean Square Error Estimators The following signal model is assumed: r = Hs + v (1) Here r is a N × 1 column vector denoting the observati...

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