Abstract We propose a new method to estimate plant diversity with Rényi and Rao indexes through the so called High Order Singular Value Decomposition (HOSVD) of tensors. Starting from NASA multi-spectral images we evaluate compare original estimates those realized via HOSVD compression methods for big data. Our strategy turns out be extremely powerful in terms memory storage precision outcome. ...

Distance estimation identifies the distance between two machines in wireless network. The Received Signal Strength Indication (RSSI) of Bluetooth can be used to estimate distance between smart devices. The characteristic of Bluetooth RSSI value is different as environments. So, we have tested the relation between distance and Bluetooth RSSI value in several environments, such as indoor hall, me...

This paper evaluates the performance of OFDM BPSK & -QPSK based system with and without channel estimation over Nakagami-m fading channels. Nakagami-m variants are generated by decomposition of Nakagami random variable into orthogonal random variables with Gaussian distribution envelopes. Performance of OFDM system in Nakagami channel has been reported here. The results yield the optimum value ...

one of the most effective tools for decline cost and time, quality improvement and consequently project performance enhancement especially in construction projects, is value engineering. there are linguistic judgments in many cases of value engineering studies in construction projects such as interior design, mechanical installations design, and etc. therefore multiple attribute decision-making...

This paper studies orthogonal frequency-division multiplexing (OFDM) system channel estimation problem in the interference environment and the channel delay estimation algorithm is proposed. The algorithm consists of the narrowband interference detection and suppression and channel time delay estimation. First of all, this paper studied the statistical characteristics of channel frequency domai...

This paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. This estimation method is obtained by implementing ridge regression learning algorithm in the La- grangian dual space. The distance measure for fuzzy numbers that suggested by Diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...

This paper proposes an improved procedure for stochastic volatility model estimation with an application in risk management. This procedure is composed of the following instrumental components: Fourier transform method for volatility estimation with a price correction scheme, and importance sampling for extremal event probability estimation with applications to estimate Value-at-Risk and condit...