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log spiral w/ fixed edge

智能天线自适应波束形成算法的研究,进行了基本算法的改进与运算,大家可以进行参考,以便更好的学习.(smart antenna adaptive beamforming algorithms, the basic algorithm for the improvement and operation, We were able to reference in order to better learning.)

实现维纳滤波用于语音增强。第一步采用频域谱函数计算最佳的维纳滤波器，再对输入带噪信号进行滤波；第二步是在此基础上的改进，用了自适应的思想，及时根据当前帧的状态更新修正滤波器的系统函数，得到更精确的无噪语音信号。第三步是采用自适应LMS方法，在时域迭代计算滤波器系数，迭代次数足够多时可得到较准确的有用信号。(Implement wiener filtering used in speech enhancement. First step optimum wiener filter is obtained by using the frequency spectrum function, again to input the signal with noise filtering The second step is the improvement on the basis of this, with the idea of adaptive, and in a timely manner according to the current frame updates correction system function of the filter, get a more accurate without noise speech signal. The third step is to use the adaptive LMS method, iterative calculation in time domain filter coefficient, the number of iterations enough to get the useful signal accurately.)

无线传感器网络中的三边定位法和极大似然估计法定位，以及二者的误差分析(Wireless sensor networks trilateral positioning method and maximum likelihood estimation positioning, and error analysis of both)

extreme learning machine 例子 run segment_mean(extreme learning machine examples run segment_mean)

说明：  数学建模的常用算法，包括源代码，是我在建模过程中精心筛选的，希望对大家有所帮助(Mathematical modeling of the commonly used algorithms, including source code, which I carefully screened in the modeling process, and hope to be helpful)

matlab实用程序百例2 很实用的 对初学者大有裨益(Matlab program the practical example 2 is very useful for beginners greatly )

使用ACO算法实现图像边缘检测，效果很好，做图像处理的肯定用得到，内含2008年IEEE原文(Simulation using ACO algorithm to image edge detection, the effect is very good,the man who do image processing must be used, including source code and documentation)

KEB COMBIVERT The MS-Repeater (Part. No.: 00.F4.072-2008) is for connection and amplification of incremental encoder signals during master-slaveoperation.

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). )