spectrum

傅立叶变换的matlab实现和傅立叶反变换的matlab实现，入口参数是：t和f，出口参数是f和t(Matlab Fourier Transform and Fourier Transform realize the matlab realize, the entrance parameters are: t and f, the export parameters are f and t)

该程序的主要功能是对心音信号进行AR功率谱分析，同时带有去噪功能。(The program' s main function is to heart sound signals AR power spectrum analysis, and with denoising function.)

这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码，系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的，涉及到空间分集、时间分集和频率分集的有机结合，包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件，对各部分的都有详细的代码和注释。(It is used SIMULINK the S-FUNCTION approach to the preparation of the system simulation code, the system is based on the 4G network s core technology space-time block coded MIMO-OFDM communication system, involving spatial diversity, time diversity and frequency diversity of the organic combination, including QPSK modulation and demodulation, IFFT modulation, control of encoding and decoding, symbol-based channel estimation training and other communication module. Including main_STBC_MIMO_OFDM and training_symbol two M file and a DOC file, have detailed the various parts of the code and comments. )

计算偶极子天线的阻抗，基本计算天线的基本参数。( THIS IS A MATLAB BASED PROGRAM THAT COMPUTES: I. SELF IMPEDANCE OF ANY LENGTH DIPOLE II. MUTUAL IMPEDANCE BETWEEN TWO IDENTICAL LINEAR DIPOLES)

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

运用盲均衡cma算法来实现源信号的恢复，效果明显4QAM(cma test blind equalization)

图像隐写中的LSB隐写算法的matlab函数(Image of LSB steganography algorithm)

Signal reconstruction code for matlab analysis

Matlab编程基础 M文件编辑 脚本文件的编写 流程控制 控制命令 程序的向量化(Matlab Programming M file editing script file control command the preparation of process control procedures to quantify the)

svpwm时间计算，电压矢量脉宽调制m文件。(SVPWM time, the voltage vector pulse width modulation m file.)