C-Cmethod-for-delay-time

以Matlab软件为平台,研究基于模型的嵌入式系统的开发方法。以转差率控制异步电动机矢量控制系统为开发对象,重点研究了基于模型设计的关键技术,通过实验对这些技术进行了验证。将设计成果应用在异步电动机的控制当中,并取得与研究模型一致的控制效果,证明了基于模型的嵌入式系统设计的优越性。(Matlab software as a platform to study the model-based embedded systems development methodology. To slip controlled induction motor vector control system for the development of the object, focusing on the key technology of model-based design through experimental validation of these technologies. The design results with asynchronous motor control them, and made consistent with the control effect of the model, that model-based embedded system design advantages.)

TRES IMPORTANT SUR LES MOTEURS PAS 0 PAS LINEAIRES

主成分分析是把原来多个变量划为少数几个综合指标的一种统计分析方法。 从数学角度来看，这是一种降维处理技术。(Principal component analysis (PCA) is a statistical analysis method that divides a number of variables into a few comprehensive indexes.From a mathematical point of view, this is a kind of dimensionality reduction technology.)

说明：  近年来，DOA估计越来越被广泛注意，该内容用MUSIC实现DOA估计(In signal processing, pulse compression has a wide range of applications, the file is implemented with MATLAB)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

对数据进行EMD分析时，如果数据不是纯的白噪声,则分析过程中一些尺度将会丢失,出现模态混叠现象。EEMD通过附加均匀分布 在整个时频空间的白噪声，可有效抑制这种现象的发生。(EEMD is insufficient for the EMD method, we propose a noise-assisted data analysis methods. EEMD decomposition principle is: when the additional white noise uniformly distributed throughout the time-frequency space, the time-frequency space is carved up by the filter component of the composition at different scales.-)

该算法用于对信号进行频谱分析，以及噪声处理(The algorithm is used for spectrum analysis of the signal, and noise processing)

计算扰动后的T检验Matlab程序，对原始数据进行扰动以分析扰动后的变量是否具有显著性(Perturbation calculation of Matlab after the T-test procedure, the original data to analyze the disturbance after disturbance variables are significant)

基本功能的离线导航,完全离线，WP7 平台(Offline navigation basic functions completely offline, WP7 platform)

Kalman Filter and peridogram