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Crest factor reduction (CFR) is a technology of reducing the signal PAPR at the expense of some performance parameters.
The fundamental of PC-CFR is detecting signal peaks in the data block range of the signal amplitude greater than the threshold, generating cancellation pulses canceled with peaks, so that the peaks do not exceed the threshold.
Detect signal peaks in the data block range of the signal amplitude greater than the threshold.
Nonlinear transform approach to the reduction of peak-to-average. 2010, The University of Texas at San Antonio: TEXAS
IFFT-based techniques for peak power reduction in OFDM communication systems. 2008, University of Victoria

Table 3 present the statistical properties of creep rupture test data for 600�.
Table 4 is a similar presentation of creep rupture test data for 650�.
More work and large test data are required to clarify this issue.
One of the examples of Weibull plots for the result data is shown in Fig. 4.
For the statistical modeling of creep rupture data, more work is required.

The aluminothermic reduction basically uses the aluminum as the reduction agent to reduce SiO2 into Si [31].
Magnesiothermic reduction process.
The reduction process was operated through the solid-state method.
Table 3 represents the quantification results of XRD providing data about product composition of generated silicone from different treatments.
The charge and discharge tests were conducted to obtain the capacity data at a certain voltage using the C-rate value.

Exploratory Study on Correct Use of Air-conditioning System For Energy Conservation and Emission Reduction Xia Lei*a, Baoping Jinb,Guojun Hanc College of Biochemical Engineering, Beijing Union University, China ajingwa8908@sina.com, bjdtbaoping@buu.edu.cn, cjdtguojun@buu.edu.cn Keywords: Energy conservation and emission reduction, Air conditioning systems, Environment pollution Abstract.
The main purpose of the thesis applies the ideas of energy conservation and emission reduction into the using process of the air conditioning system equipments.
Therefore, the energy conservation and emission reduction of heating and ventilation air-conditioning system is of great importance and extremely urgent.
The accurate calculation methods are seldom used by designers of air-conditioning system in the earlier stage for calculating the load of water chilling unit, and they often evaluate the load by the empirical data, thus leading to the oversize water chilling units.
Energy Conservation and Emission Reduction in Other Aspects The energy conservation and emission reduction is conducted by reducing the indoor temperature and humidity.

Seismic Fragility Analysis of Mid-story Isolation and Reduction Structures based two Directions Peiju Chang1, a 1Department of Information and Computation, Beifang University for Nationality, YinChuan, 750021,China achangpeiju1979@163.com Keywords: MIRS; Data statistics; Stochastic vibration; Seismic fragility; Finite element Abstract.
This study focus on derivation of such fragility curves using classic mid-story isolation and reduction structures (MIRS) in China metropolis.
Each vertical line of scattered data corresponds to an intensity level.
The parameter COV estimates the logarithmic standard deviation of the data statistic regression.
The curves become flatter as the nature of the statistical distribution of the response data.

Substantial increase in the number of data dimensions has brought unprecedented difficulties to the cluster; therefore, before using FCM algorithm, the original sample data reduction has very important significance.
However, dimensionality reduction by manifold can find low dimensional embedding hidden in high dimensional data.
This paper uses manifold dimensionality reduction algorithm for high dimensional data, existing methods use dimensionality reduction for feature vector firstly, further FCM training, this type methods of dimensionality reduction do not use the data correlation .
FCM algorithm base on L-Isomap dimensionality reduction Isometric mapping algorithm built on the basis of MDS[2],Use local neighborhood distance calculate approximate manifold geodesic distance of data points, Complete data reduction through the establishment reciprocity between geodesic distance of the original data and spatial distance of dimensionality reduction data.
Assumedis data set,N is the number of samples, C the number of data set is divided into .

Combining rough set attribute reduction with SVMR theory, using rough sets as a front-end processor and attribute reduction to eliminate redundant attributes, this paper will train and test obtained data by SVR method.
The major steps are: (1) Data preprocessing Screening, filling historical data and eliminating one of the singular data (2) Selecting a set of similar days According to the type of forecasting day, under the premise of properties of season, using similar day theory to select similar days which relational degree as sample set of rough set attribute reduction.
Therefore, this set of data selected as attribute values of the train and test sets of SVMR.
According to historical data of PV plant, this method is able to forecast output directly, and it can avoid specific modeling of inverter model for PV systems, collecting and converting process of illumination data.
On the premise of completeness of information, it can provide streamlined modeling data for subsequent data fitting that using rough set theory to do discretization and attribute reduction analysis for decision table which consists of a variety of influential factors and output.

Wavelet transform was introduced to the thermogravimetric data smoothing and differentiation analysis according to the experiment results, and the orthogonal test method was used to find the optimize wavelet parameter.
Adaptive wavelet Transform method was used to deal with thermogravimetric experiment data, and the reliability, validity result was contrastive studied compared to all kinds of traditional analysis methods.
Wavelet analysis denoising processing of thermogravimetric data According to the above experiments to get TG curve of grease in 5 ˚C /min, and calculated DTG curves as Fig. 1.
Choose a different threshold rules for noise reduction.
Wavelet transform is used to place DTG curve effective Gauss white noise, but also can speed characteristic signal retained very good burning, maximum close to the original data of the combustion rate.

The photocatalytic activity for Cr(VI) reduction was evaluated by several batch experiments.
Comparing the BET analysis data of different catalysts in Table 1, F doping created a most positive effect on the surface modification of TiO2, which indicated the strong adsorption ability and the sufficient space for photocatalytic reaction.
The highest reduction efficiency of 90% was obtained as a result.
It is suggested that F-TiO2 has the best photocatalytic activity for Cr(VI) reduction.
The photocatalytic performance of F-TiO2 was studied via Cr(VI) reduction experiments.

Reverse Engineering and 3D Printing Technology's Application in Sculpture and the Restoration Shigang Wang1, a, Fansong Meng1, b, Bo Qu1, c 1School of Mechatronics Engineering, Qiqihar University, Qiqihar 161006, China ahljwangsg@163.com, b1161764472@qq.com, c446986768@qq.com Keywords: Reverse engineering, 3D printing, Point data acquisition, Data reduction, Surface repair Abstract.
The key link is getting the 3D model through digital and data [4].
The Stage of Point Cloud Data Processing.
Data reduction.
Smoothing data.