maibo

机载雷达空时二维处理的方向图 以方向角和锥角为坐标(Airborne radar space-time two-dimensional processing pattern direction angle and cone angle coordinates)

基于最小均方误差估计(mmse)的语音增强算法的研究的相关资料，期刊，论文(Based on the minimum mean square error estimation (mmse) speech enhancement algorithm relevant information, journals, papers)

Make sure that calling a non-function global doesn t crash the system while building the IC for it.

MATLABA初级教程，可供各位编程爱好者查询使用，内有大部分MATLAB常用函数以及使用方法和技巧(MATLABA junior tutorial, for you to use programming enthusiasts query, there are most commonly used MATLAB functions and the use of methods and techniques)

数字信号处理基础 胡广书版 第三章例题程序(Digital signal processing-based Hu Guang-shu edition of Chapter III of the Example programs)

说明：  利用脉冲成形滤波器消除无线通信系统中的符号间干扰(Pulse shaping filter to eliminate the use of wireless communication systems ISI)

说明：  采用松弛因子法处理多学科协同优化问题的一个具体算例，验证了协同优化方法的有效性(Relaxation factor treatment effectiveness of multidisciplinary collaborative optimization problems, a specific example, verify the collaborative optimization method)

设r是f(x) = 0的根，选取x0作为r初始近似值，过点（x0,f(x0)）做曲线y = f(x)的切线L，L的方程为y = f(x0)+f (x0)(x-x0)，求出L与x轴交点的横坐标 x1 = x0-f(x0)/f (x0)，称x1为r的一次近似值。过点（x1,f(x1)）做曲线y = f(x)的切线，并求该切线与x轴交点的横坐标 x2 = x1-f(x1)/f (x1)，称x2为r的二次近似值。重复以上过程，得r的近似值序列，其中x(n+1)=x(n)－f(x(n))/f (x(n))，称为r的n+1次近似值(Let r is f (x) = 0 root, select the initial approximation x0 as the r, over point (x0, f (x0)) to do the curve y = f (x) the tangent L, L the equation y = f ( x0)+ f ' (x0) (x-x0), find the intersection of L and the x-axis of abscissa x1 = x0-f (x0)/f' (x0), x1 is called an approximation r. Through points (x1, f (x1)) to do the curve y = f (x) the tangent, and find the intersection of the tangent with the x-axis of abscissa x2 = x1-f (x1)/f ' (x1), x2 is called r the second approximation. Repeat the process, get an approximation of the sequence r, where x (n+1) = x (n)-f (x (n))/f ' (x (n)), as an approximation of r n+1 times)

对初学matlab的有很大帮助 认真学应该能学好(right novice Matlab great help learning, we should be able to learn)

Basics of the Neural Networks Toolbox 4.0.1