dsp-procedures-

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

with this mscripts we are enable to perform accurately pitch detection.first with short term zerocrossing and short term energy estimation analyses we find voiced regions and then with hps algorithm, find pitch values of utterance.

MIE散射，金属球光散射计算程序,可自行编写修改输入参数的可靠程序( light scattering of metal balls calculation program by mie)

用MATLAB编程的语言，求解对TWTA的无记忆特性的描述(Using MATLAB programming language, solving for TWTA description of the non-memory characteristics)

二维图像的读取，辨认，分析，并且用神经网络进行，判定哪些图片可以归为一类(Two-dimensional image reading, identifying, analyzing, and using neural network to determine which pictures can be classified as a class)

To provide Security for the images which are being transmitted through Open communication

Sphere of MATLAB algorithms(球体之演Sphere of MATLAB algorithms算法的MATLAB)

数学工具软件Matlab的学习资料，内容十分详尽，是初学者的实用参考资料。(Matlab mathematical tools of learning materials, the content is very detailed, useful references for beginners.)

基于Matlab/Simulink的定速风电机组的模型仿真，包括风速波动及电网故障时的输出特性仿真。(Model-based fixed-speed wind turbine Matlab/Simulink simulation, including fluctuations in wind speed and power output characteristics of a fault simulation.)

一维EMD算法 输入ip--待分解数据序列，一维列向量； 输出imf--分解后得到的IMF分量，二维数组表示；(One-dimensional EMD algorithm input ip- be decomposed data series, one-dimensional column vectors output imf- IMF components obtained after decomposition, two-dimensional array representation )