SGA2[1].0

说明：  变量选择方法的代码，本人经编写验证正确而的代码，欢迎使用(Variable selection method code, I verify the correct and by writing code, Welcome)

协作分集的协作研究 通信 信道衰落 协作分集 协作协议 中断概率(Collaborative research cooperative diversity communication channel fading cooperation agreement cooperative diversity outage probability)

载波同步算法-二次插值算法的Matlab仿真，算法性能很好，性能接近MCRB，可以广泛应用于卫星通信等行业。(Carrier synchronization algorithm- quadratic interpolation algorithm Matlab simulation, good performance of the algorithm can be widely used in satellite communications and other industries.)

Kalman filter examples, kalman_update

无线传感定位算法中的，质心定位算法。Matlab编程开发。(Centroid localization algorithm in wireless sensor positioning algorithm. Matlab programming development.)

对于胡良谋的书《支持向量机故障诊断及控制技术》中的各个例程，绝对有用(For Liang- Mou s book " support vector machine fault diagnosis and control technology" of the various routines)

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). )

逐行读取GPS观测文件中的信息，实现提取站坐标，L,P观测值等各项观测值，生成一个观测值矩阵。(GPS observation file line by line to read the information, to achieve extraction station coordinate, L, P observations and other observations, to generate a matrix of observations.)

matlab 的s函数模板，用s函数是，在这个基础上修改后就可以用了！！(matlab s-function template, use the s function is, on this basis can be modified after it! !)

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)