OKUMURA

用Rosen梯度投影法求解约束多维函数的极值 用外点罚函数法求解线性等式约束多维函数的极值 用外点罚函数法求解一般等式约束多维函数的极值 用内点罚函数法求解约束多维函数的极值 用混合罚函数法求解约束多维函数的极值 用混合罚函数加速法求解约束多维函数的极值 用乘子法求解约束多维函数的极值 用坐标轮换法求解约束多维函数的极值 用复合形法求解约束多维函数的极值 (Rosen gradient projection method for solving constrained multi-dimensional functions the extremal with outside point penalty function method for solving linear equality constraints multidimensional function the extremal with outside point penalty function method for solving the general extremum with of equality constraints multidimensional function within point penalty function method for solving constrained multidimensional function extremum with mixed penalty function method for solving constrained multidimensional function extremum with mixed penalty function acceleration method for solving constrained multidimensional function extremum multiplier method for solving constrained multidimensional function extremum with coordinate alternation method for solving constrained the multidimensional function extremum complex method for solving constrained multidimensional function extremum)

waveletEMDimproved的原始版本，以小波软阈值降噪对信号进行预处理，对预处理后的信号进行EMD分解(the original version waveletEMDimproved, wavelet soft threshold denoising preprocessing the signal, signal pretreated with EMD)

matlab程序，可求解任意次B样条基函数及其一阶导(Solving the basic function of arbitrary order B spline and its first order)

磁共振成像经典算法sense，对于对并行成像的研究很有帮助(Magnetic resonance imaging classical algorithm sense, for the study of parallel imaging helpful)

该算法用matlab编写，并且实现对文字识别。附带图片。(the algorithm using Matlab preparation, and to achieve recognition for words. Photo attached.)

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

buck circuit PWM simulation, power electronics(buck PWM simulation)

计算机图形图像设计课程理论，关于三次有理b样条曲线matlab实现，程序代码。(Computer graphics graphic design curriculum theory, on the three rational b-spline curve matlab realize, program code.)

TD-SCDMA收发系统建模，联合检测仿真。(TD-SCDMA transceiver system modeling, simulation of joint detection.)

一维双负介质的drude等效模型的防真程序．可以从输出图象中看出双负介质的基本特性(one-dimensional negative media drude Equivalent Model defense really procedures. Images can be output seen double negative dielectric characteristics of the basic)