Sinusoidal-steady-state-circuit

利用激光雷达技术生产数字线划图的技术参考文献，对3S技术人员很有帮助，难得的好资料。(By using laser radar technology to produce a DLG technique reference documents)

对应书籍为《复杂非线性系统自适应动态优化》课本第六章例子的程序，讲述单网络的自适应动态优化(Corresponding books as " complex adaptive dynamic optimization of nonlinear systems" textbook example of Chapter VI of the program, about a single network adaptive dynamic optimization)

合成孔径雷达成像程序，使用RD算法，对点目标进行仿真，实现点目标的成像(Synthetic aperture radar imaging procedures, the use of CS algorithm, the point target simulation to achieve point target imaging)

实现地震叠前三参数反演（纵波速度、横波速度、密度。本程序是基于matlab编写的。(Stack seismic inversion to achieve the first three parameters (P-wave velocity, shear wave velocity, density. This program is based on matlab prepared.)

读取水平单层介质单炮记录进行p-sv转换波动校正，并输出动校正之后的结果(Reading level single medium shot record the results of p-sv conversion fluctuation correction and output after NMO)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

OFDM的QPSK调制与解调,有说明，有需要的朋友可以看看(OFDM QPSK modulation and demodulation, a note, a friend in need can look)

MATLAB toolbox control engineering technical manual. This book provide readers with the use of MATLAB practical guidance. Mainly with the introduction of the MATLAB control engineering related to six basic toolbox: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox.

MST算法的matlab实现，可应用于无线传感器网络(Matlab implementation of the MST algorithm)

小波分析的一些应用,毕业论文时做的,现在已经不做这个了(wavelet analysis applications, Graduation do, now do this the)