precession_theory

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

用于三相电压源逆变器的预测电流控制仿真模型(Current Predictive Control of a Three-Phase Inverter)

un article de J.Betz contient la modulation BOC

matlab的教程，有简易版和详细版。较为浅显易懂，对于新手来说，能够较快的入门。(matlab tutorial, there are simple and detailed version version. Relatively easy to understand for the novice is able to fast entry.)

signal procesing toolbox

system identification with or without noise

PID 控制器，实现PID控制器的计算，采用MATLAB仿真离散系统的控制结果(simulation of PID controller in MATLAB to realize the computation of PID algo in MATLAB for discretized system.)

有借鉴意义哦，均值便宜跟踪的示例，各种kalman滤波器的设计。( There are reference Oh, Example tracking mean cheap, Various kalman filter design.)

灰色预测是就灰色系统所做的预测。所谓灰色系统是介于白色系统和黑箱系统之间的过渡系统。其具体的含义是:如果某一系统的全部信息已知为白色系统，全部信息未知为黑箱系统，部分信息已知，部分信息未知，那么这一系统就是灰色系统。(Grey prediction is the prediction of grey system. The so-called grey system is a transitional system between the white system and the black box system. Its concrete meaning is: if all information of a system is known as a white system, all information is unknown as a black box system, some information is known, and some information is unknown, then this system is a grey system.)

说明：  采用信号处理算法中的经验模态分解可用于设备故障检测的信号特征提取(The signal processing algorithm can be used for equipment fault detection)