<p><span lang="EN-US">The oxygen content of the gas-fired boiler flue gas is used to monitor combustion efficiency. Conventionally, this measured using an sensor. However, because it operates in extreme conditions, sensor tends have disadvantage high maintenance costs. In addition, absence other sensors as element redundancy and when there damage causes manual handling by workers. I...

We establish a simple relation between high diversity multidimensional rotations obtained from totally complex cyclotomic elds and the discrete Fourier transform. The diversity distribution of an Hadamard-like random rotation is derived analytically. It is shown that a random multidimensional rotation exhibits an excellent diversity distribution and can be combined to QAM constellations to comb...

This paper presents an improved robust method for timing offset estimation in preamble-aided OFDM system. The proposed method is aimed to provide low complexity, high performance timing estimator under the high frequency offset conditions. It uses a modified preamble structure and utilizes double autocorrelation technique to achieve robust timing estimation performance with only moderate increa...

A method for the rapid design of field programmable gate array (FPGA)-based discrete cosine transform (DCT) approximations is presented that can be used to control the coding gain, mean square error (MSE), quantization noise, hardware cost, and power consumption by optimizing the coefficient values and datapath wordlengths. Previous DCT design methods can only control the quality of the DCT app...

This letter addresses the problem of robust transceiver design for the multiuser multiple-input-multiple-output (MIMO) downlink where the channel state information at the base station (BS) is imperfect. A stochastic approach which minimizes the expectation of the total mean square error (MSE) of the downlink conditioned on the channel estimates under a total transmit power constraint is adopted...

This paper presents a performance analysis of Maximum Likelihood (ML) Direction-Of-Arrival (DOA) estimation using sensor arrays for the case of a single source in white Gaussian noise. Particular attention is paid to the threshold effect that is common in nonlinear estimation. The paper presents approximations to the probability of outlier and Mean Square estimation Error (MSE) of the ML estima...

Adaptive training of neural networks is typically done using some stochastic gradient algorithm that aims to minimize the mean square error (MSE). For many classification applications, such as channel equalization and codedivision multiple-access (CDMA) multiuser detection, the goal is to minimize the error probability. For these applications, adopting the MSE criterion may lead to a poor perfo...

Performance of equalizers depends on the discrete time model of the input signal and noise. The use of higher sampling rate results in colored noise when the bandwidth of the noise-limiting prefilter is not sufficiently large. It is shown that the mean square error (MSE) performance of linear equalizers becomes sensitive to the decision delay when the input noise is colored, and by using the ap...

The steady-state performance of adaptive equalizers can significantly vary when they are implemented in finite precision arithmetic, which makes it vital to analyze their performance in a quantized environment. In this paper we present a fixed point analysis for the steady-state mean square error (MSE) of a blind adaptive equalizer and the optimal value of the step-size that minimizes this MSE....

The threshold region mean squared error (MSE) performance of the Capon-MVDR algorithm is predicted via an adaptation of an interval error based method referred to herein as the method of interval errors (MIE). MIE requires good approximations of two quantities: (i) interval error probabilities, and (ii) the algorithm asymptotic (SNR→ ∞) MSE performance. Exact pairwise error probabilities for th...