predictive

该文件为功率谱估计的一个子程序，对广大读者很有帮助，现在拿出来和大家一起分享下(The file is a subroutine power spectrum estimation of readers helpful, and now share with everyone out under)

This M Code simulate the effects of clipping and filtering on PAPR PAPR reduction in OFDM-based wireless standard.Also the performance of BER versus SNR of original OFDM signals with PAPR reduction based on clipping and filtering schemes over AWGN channel is evaluated. The simplest and most widely used technique of PAPR reduction is to basically clip the part of signals that are outside the allowed region.Clipping methode introduces both in band distortion and out of band radiation into OFDM signals which degrades the performance including the BER and spectral efficiency.Filtering can reduce out of band radiation after clipping although it can not reduce in-band radiation distortion.However, clipping may cause some peak regrowth so that the signal after clipping and filtering will exceed the clipping level at some point.To reduce peak regrowth a repeated filtering and clipping operation can be used to obtain a desirable PAPR at a cost of computational complexity increase.

无约束多维极值问题,适合数学计算,优化分析等极值问题的求解(Unconstrained multi-dimensional extremum problem, is suitable for mathematical calculations, the extremum problems of solving optimization analysis, etc )

ML estimation of frequency synchronization

讲述浅海水声信道下的多途时延估计方法，供声学方向的学生学习参考(About the shallow water acoustic channel under the multi-path delay estimation method for the acoustic direction of student learning reference)

一系列基于matlab的风机仿真模型 十分十分有价值 内部资料无偿共享(Matlab-based wind turbine simulation model is very valuable internal information free of charge sharing)

图像灰度变换，用matlab编程对图像的灰度值进行改变处理(matlab Image gradation processing)

用卡尔曼滤波来检测视频中的小运动目标，例子为检测一个运动场景中的乒乓球(Using kalman filter to detect small moving targets in video, example for detecting a movement in the scene of table tennis)

说明：  Hurst exponent calculation algoritms. Time series analysis trending, mean reverting. Analysis of time series, fractal analysis.

基于GMM说话人识别特征提取 1、需要有语音工具箱 2、训练和测试包含了加噪的代码 3、包含噪声数据 4、没有包含语音数据 5、语音数据可以自行录制或者找一段语音(Extraction Based on GMM speaker recognition feature A need to have a voice toolbox 2, the training and testing included adding noise code 3, including noise data 4, does not contain voice data 5, the voice data can be recorded on their own or find a voice)