power_microturbineDT

飞机自然特性分析。 给定一个飞机纵向与横侧向运动状态空间方程，分别在时域、幅频域、复域分析飞机的纵向和横侧向自然特性(Given the natural characteristics of the aircraft an aircraft longitudinal and lateral motion state space equation, respectively, in test domain, amplitude and frequency domain, complex domain of the aircraft longitudinal and lateral natural features)

OFDM system in matlab Simulink with Ultra Wide Band

RLE图像压缩编码，多个例子程序，可以参考(RLE image compression coding, multiple example programs)

In this paper, we present a novel data-based method for simultaneous Maximum Likelihood (ML) symbol and carrier-frequency o畇et estimation in Orthogonal frequencydivision multiplexing (OFDM) systems. Statistical properties introduced by the cyclic pre痻, a guard space between OFDM symbols, provide su眂ient information about the unknown parameters. It is shown that the redundancy introduced by this cyclic pre痻 allows the estimation to be performed without additional pilots. Simulations show that the performance of the frequency estimator is applicable in a tracking mode while the timing estimation can be used in an acquisition mode.

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

读取语音信号 对语音信号进行分帧 加矩形窗 傅立叶变换 并且实现倒谱(Read the speech signal of the voice signal framing plus Fourier transform rectangular window and realize cepstrum)

修改过后的离散信号的线性卷积函数，输入为两信号，输出为卷积函数(The modified linear convolution function)

有关案例推理的matlab源程序,比较简单,请大家多指教(the CBR source of Matlab, relatively simple, please enlighten more)

cours Matlab Chapitre 4  : Programmation MATLAB Les Instructions de Contrô le Les fichiers M

单级倒立摆LQR控制仿真 降维状态观测器的两种设计方法及算例(Inverted Pendulum Simulation Reduced LQR control of two state observer design method and examples)