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In order to meet the needs of the high rate of data ,the big system capacity, coverage and low latency, LTE system supports MIMO, which includes spatial multiplexing, beamforming and transmit diversity and so on .Spatial multiplexing can increase the throughput of the system, beamforming and transmission diversity technology can increase the reliability and the coverage.
MIMO and OFDM technology, often referred to as MIMO-OFDM system，can meet the LTE in the high data rate, high reliability and other needs. resist the impact of multi-path fading as well.
In specific implementations, taking the complexity of the range into account to ensure adequate margin, will inevitably bring about the reduction efficiency of the algorithm and hardware implementation difficulties.
By (1) we easily to know: (5) Based on Max-Log approximation Estimates method, put (5) into (4), then LE can be simplified as: (6) Pass the calculated external information LE to the soft input soft output channel decoder, can solve the original data bit stream.
In addition, hardware implementation of the FCLSD algorithm could be carried out by parallel processing .When the antennas number more and the modulation order higher, the reduction of complexity will be even more impressive.

Another advantage in drilling of extended reach wells underbalanced is in the potential reduction in Equivalent Circulation Density(ECD).
UBD can, if effectively managed, provide an opportunity for a reduction in annular frictional losses and therefore minimise ECD problems by allowing the reservoir energy to push fluids out of the hole!
A few are however upscaled versions of classic mechanistic models modified specifically for the drilling process and tested against experimental and field data[7-8].
Drilling engineers live in a data rich but information poor environment.
Bern, P.A et al : Managed pressure drilling with the ECD reduction tool, SPE Paper No. 89737 (2004) 3.

The information unit in the digital image is pixel, however, only the pixel data cannot be a good expression with the relevant geological information.
After loading the extracted feature data, the neural network is trained to obtain the output of rock texture classifications [8, 9].
For uniform image data, all images are obtained in the gray value mode.
Characteristics normalization and dimensions reduction.
Principal component analysis is a linear input dimension reduction technique, therefore it is needed to compute the largest eigenvectors of the covariance matrix of feature sets.

Mesoporous TiO2 onto graphene were reported to result in certain reduction of specific surface area of graphene[6, 7].
In the XPS data analysis, peak deconvolution was performed using Gaussian components after a Shirley background subtraction.
These binding energy data exhibit a positive shift of 0.2 eV and 0.1 eV compared to that in GO, probably due to diffusion of GO into the TiO2 lattice and formation of C–O–Ti bond in the samples, which changes the chemical potential and the polarity of GO[20,23].
These data demonstrate a certain degree positive shift compared to those in pure anatase TiO2 (458.1 eV for 2p3/2 and 463.8 eV for 2p1/2), indicative of more positively charged surface Ti4+, which may have arisen from the strong inductive effect of sulate and GO.
At the same time C-O bond increases from 22.9% to 29.5%, This fact may be explained by reduction of GO.

The experimental thermal conductivity data, which the modelling is based on, were obtained by the laser flash method.
The thermal conductivity of graphite was significantly temperature dependent [2] and consequently, an expected decrease of coefficient bT occurred as the temperature increased, due to the strong reduction of the thermal conductivity of graphite at high temperatures.
Thus, a reduction of the overall thermal conductivity of cast iron, i.e. a negative sign in front of coefficient cT, of cast iron is expected due to phonon and electron scattering from alloying elements in the metal.
At higher temperatures, the values of coefficient eT decreased, which point toward a lower reduction due to the presence of cementite.

Then used MATLAB to simulate this algorithm’s advantages in data amount and sending times.
Compared to traditional binary anti-collision algorithm, dynamic binary anti-collision algorithm reduced data redundancy at each search process, thus reduced the amount of data transferred.
Analysing the anti-collision algorithm, a conclusion can be drawn that, improvements of the traditional binary algorithm is mainly from the reduction of transmitted data bits and the number of commands sent.
c) Read and write commands, RW[4]: readers can read and write data in the chosen tags.
Due to this improved algorithm cuts the redundant data of request command, so compared to the original algorithm, this algorithm greatly shortens data and times of communication between the reader and tags.

These available guidance for mitigating debonding failure of externally bonded fiber reinforced polymer composites applied to concrete is evaluated based on data obtained from experimental programs.
Reliability of FRP contribution to flexural strength is addressed by incorporating an additional strength reduction factor for FRP ψf in addition to the strength reduction factor f per ACI 318-08 for structural concrete.

In recent years, the SCADA (supervisory control and data acquisition) systems are applied widely for water distribution networks, where the auto-control valves are used to reduce the excessive water pressure of each node for further leakage control.
To the entire water supply network, pressure reduction can be achieved in a number of ways, such as reducing pumping heads, establishing pressure zones through the use of a variety of pressure-reducing valves, and installing break-pressure tanks and so on.
Whereas, these ways just can cause the whole systemic pressure reduction, and are inefficient to the condition where the local pressure is high.

All obtained data were analysed using specific software.
These data are analysed to determine yield strength, tensile strength, elongation and reduction in area.
Strain data were collected at frequency, f = 100 Hz [9].
The strain data has been analysedevery 900 seconds (4500cyles/ 90 000 data) using I-kaz method and presented in 3-dimension graphical form.
Analysis been done every 90 000 data due to millions data collected and analysing the whole data will affect the analysis process and the coefficient accuracy.

All simulation data are compared with raw telemetry data which are logged during a steady flight.
The input and output data are collected from the flight tests.
Before fast Fourier processing the data was de-trended.
Comparison between the model outputs and measured data for Estimation of the State-Space Model Using Frequency Domain Data The state-space model is estimated by using frequency domain data.
The identified lateral state-space model for BULLIT is simplified by order reduction and estimation.