FFTtest123

运用复倒谱的方法,对信号进行去混响处理,将混响有效去除,被称为DCT法。(The method of using complex cepstrum of signal dereverberated will effectively remove the reverb, known as DCT method.)

在MATLAB中，进行FDTD仿真一维电磁波的传播。(In MALLAB, FDTD Simulation for Electromagnetic Wave.)

本书从工程应用与实践的角度，对模糊推理与模糊控制系统作了深入浅出的介绍，并以多 个实例详细地介绍了模糊推理的学习及其在 matlab模糊逻辑工具箱中的实现，使得读者可以尽快地掌握模糊逻辑的内容与模糊控制的实现和使用。(Book from the point of view of engineering application and practice of fuzzy reasoning and fuzzy control system was introduced in simple terms, and Instances detailed description of the learning of the fuzzy inference in matlab fuzzy logic toolbox to achieve, so that the reader can grasp as soon as possible to implement and use of fuzzy logic and fuzzy control. )

广义预测控制，基于CARIMA模型，可以给出初学者提供参考。。(Generalized Predictive Control based on CARIMA，for Beginners)

this code calculate the euclidian distance. h = waitbar(0, Distance Computation ) switch nargin case 1

first derivative for edge detection

电力电子的仿真，基础结构，适合原理讲解，初学者，包括：单极性PWM，双极性PWM，单相半波，单相半控，单相方波逆变，单相全控，斩波，三相半控，三相方波逆变，三相全控。文件名是对应的拼音。(Simulation of power electronics, infrastructure, suitable principle to explain, for beginners, including: unipolar PWM, bipolar Sexual PWM, single-phase half-wave, single-phase half-controlled, single-phase square wave inverter, single-phase control, chopper, three-phase half-controlled three Phase square wave inverter, three-phase full-controlled. The file name is corresponding to the alphabet.)

libsvm的matlab最新接口,支持64位操作系统下编译,可以超越进程4Gb空间的限制,处理大规模数据(This is the latest libsvm API for matlab supporting to compile under 64 bits OS,which can get away from 4Gb space in order to process large-scale data )

说明：  计算方法数值方程，用列主元Gauss消去法解释线性方程组Ax=b，其中A=[10E-8 2 3,-1 3.712 4.623,-2 1.072 5.643],b=[1,2,3](Calculated value equation, the main-element Gauss elimination explanation of linear equations Ax = b, where A = [10E-8 2 3,-1 3.712 4.623,-2 1.072 5.643], b = [1,2,3 ])

最优化问题的快速下降法，共轭梯度法，基于matlab算法。经过测试好用(Optimization problem of the rapid descent method, conjugate gradient method, based on matlab algorithm. Tested, easy to use)