SNR

基于遗传算法的神经网络程序，共三个文件，主程序，适应值函数和应用示例(Based on genetic algorithm neural network, with a total of three documents, the main program, fitness function and application example)

the syntax of gmm algorithm

利用MATLAB语言实现生命规则在元胞自动机模型下的模拟(The use of MATLAB language implementation rules of life under the Cellular Automata Simulation)

说明：  卡尔曼滤波器，鲁道夫博士设想的。Kalman(1930-2016)提供了一种有效的机制来估计动态系统的状态，当一个模型可以顺序预测状态和顺序测量也是可用的。在许多实际动力系统的研究中，在不同领域中，这是一种常见的情况。(Matlab implementation of Kalman filter)

用凯泽窗设计线性相位带通FIR滤波器 计算理想带通滤波器单位抽样响应ha(n)的M函数文件dbpfr.m 计算凯泽窗函数wk(n)的M函数文件kwnd.m(Keyser window design with linear phase FIR bandpass filter calculate an ideal band-pass filter response ha sampling units ( n) M function calculation Keyser dbpfr.m document window function wk (n) M-function document kwnd.m)

三相直交直流变换器，PWM (ThreePhase_ACDCAC_PMWconverter )

TRES IMPORTANT SUR LES MOTEURS PAS 0 PAS LINEAIRES

信号检测与估计相关算法及matlab仿真结果(Signal detection and estimation algorithm and Matlab simulation results)

Matlab 各种绘图的应用，包括二维、三维，各种面形等(example of different plotting functions in Matlab)

在运载体运动情况下,提出了一种适用于捷联惯导系统(SINS)初始对准的新算法,该算法以惯性空 间为过渡参考基准,即建立了初始时刻惯性坐标系(i0系)和初始时刻捷联惯组惯性坐标系(ib0系)两个惯性坐标 系。将捷联惯组坐标系(b系)与导航坐标系(n系)之间的初始对准姿态矩阵的实现分解为三步骤:(1)通过地理 位置和初始对准时间求解i0系至n系的变换矩阵 (2)通过惯导比力方程变形,引入测速仪速度辅助,求解从ib0 系至i0系的常值变换矩阵 (3)使用姿态更新算法实时计算b相对于ib0系的变换矩阵。最后,载车运动环境下的 初始对准试验结果表明航向角对准精度达到了0.1b(1R)。 (On the moving base, a new initial alignment algorithm for strapdown inertial navigation system (SINS) is proposed. In this algorithm, two special inertial frames, the initia-l time inertial frame (i0frame) and the initia-l time SINS body inertial frame (ib0frame), are defined and are selected as transition reference frames. The calculation of initial alignment direction cosine matrix (DCM) between SINS body frame (bframe) and nav- igation reference frame (nframe) is expanded into three parts: (1) the DCM betweeni0frame andnframe is easily obtained via local geographical coordinates and initial alignment time (2) by expressing SINS specific force equation inbframe and by the aid of external velocity log, the constant DCM fromib0frame toi0frame is achieved (3) attitude updating using gyro samples gets the DCM betweenbframe andib0frame. In the end, some vehicular tests are carried out on the moving base and the accuracy of azimuth reaches about 0.1b(1R). )