impedences2

用matlab实现7位巴克码编码,很好用的(Achieved with 7-bit Barker code matlab code, good use)

dsp程序開發---matlab調試及直接目標代碼生成(dsp program development and direct--- matlab debug target code generation)

精通MATLAB--综合辅导与指南 西安交大李人厚 张平安等译校(proficient in MATLAB-- comprehensive counseling and guidance Xi'an Jiaotong University, Li thick green schools such as translation)

分析比较了16QAM的块状导频与没有加信道估计的性能比较OFDM系统(Analysis and comparison of 16QAM and no massive increase pilot channel estimation OFDM System Performance Comparison)

语音处理技术中用倒谱分析来求基音周期，为后续处理打下基础(Cepstral voice processing technology used to find pitch period analysis, laying a foundation for the subsequent treatment)

Le Descripteur SIFT (Scale Invariant Feature Transform) [1] consiste a extraire un histo- gramme d orientations de gradients autour d un point d inter^et de l image. Le principe du calcul du descripteur est illustre a la gure

QoS multicast routing based on ant colony algorithm

采用高斯核的多类分类,以wine数据位例，进行编程(the classification using gauss kernal)

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)

关于MATLAB画完图后调整颜色云图的帮助文件colormapeditor(the helpful files of MATLAB colormapeditor)