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本文介绍了一种基于自适应滤波算法的语音信号增强处理的方法。文中在扼要介绍了目前常用的语音增强方法的基础上，重点介绍了采用LMS算法的自适应语音增强系统。对三种LMS算法（基本LMS算法,符号误差LMS算法及NLMS算法）进行仔细研究，并用Matlab仿真实现，验证比较了三种算法的语音增强效果。(In this paper, a system of speech enhancement is discussed based on self-adaptive algorithm. On the basis of presenting an overview of a number of speech enhancement is described in detail based LMS algorithm.This paper researches sorts of LMS algorithms（the basic LMS algorithm,the sign error LMS algorithm and NLMS algorithm） in detail, and compares the three algorithm of speech enhancement effect with Matlab simulation validation.)

对于3-RRR型机械臂，根据自身特性，结合运动学特性，实现仿真。(For the 3-RRR-type robot arm, in accordance with its own characteristics, combined with kinematics characteristic of the realization of simulation.)

region growing: Perform segmentation by region grow1ng. [G, NR, SI, TI] = REGIONGROW(F, SR, T). Scan be an array (the same size as F) with a 1 at the coord1nates of every seed point and 0s elsewhere. S can also be a single seed value. Similarly, T can be an array (the same size as F) containing a threshold value for each pixel in F. T can also be a scalar, in wh1ch case it becomes a global threshold.

说明：  肌电信号多维特征提取 +均方根值+中值频率+平均功率频率(Multidimensional Feature Extraction of EMG Signal)

求解离散问题的pso aco 算法，含german信用数据库 (Pso aco algorithm for solving the discrete problem with german credit database)

添加了了约束的非支配排序遗传算法的代码。(A structure MATLAB implementation of NSGA-II for Evolutionary Multi-Objective Optimization)

SEMINAR FILE FROM IEEE TRANSATION IN COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

this file contain models for modelling and simulation of nonlinear motor control. in this simulation dq frame is used to model.

通过C +FORTRAN 在Simulink中解Riccati代数方程(ALGEBRAIC RICCATI SOLUTION IN SIMULINK VIA C+ FORTRAN )

Bloch simulator. [mx,my,mz] = bloch(b1,gr,tp,t1,t2,df,dp,mode,mx,my,mz) Bloch simulation of rotations due to B1, gradient and off-resonance, including relaxation effects. At each time point, the rotation matrix and decay matrix are calculated. Simulation can simulate the steady-state if the sequence is applied repeatedly, or the magnetization starting at m0. INPUT: b1 = (Mx1) RF pulse in G. Can be complex. gr = (Mx1,2,or 3) 1,2 or 3-dimensional gradient in G/cm. tp = (Mx1) time duration of each b1 and gr point, in seconds, or 1x1 time step if constant for all points