tidu

使用matlab来处理常见的线性规划问题，附有pps的说明(matlab handle common linear programming problem)

压缩感知方面的17篇综述性文件Rice大学(review of compression sensing 17)

最小二乘法计算算法，通过快速计算能快速辨识出系统参数(It can be used for fast identification of system parameters and quick calculation of system parameters by least square method.)

产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2； 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列） 改用HDB3码，画出前20个符号对应的波形 改用密勒码，画出前20个符号对应的波形 分别对上述1000个符号的波形进行功率谱估计，画出功率谱 改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)

马尔科夫随机场用于图像分割,基于能量法的条件概率分部来实现图形像元之间的分割。(MRF for image segmentation.Based on the energy method of conditional probability division to achieve the segmentation between graphics pixels. )

介绍粒子滤波算法的程序，具有一定的指导意义(Particle filter algorithm describes the procedure has certain guiding significance to)

升余弦滚降系统的源程序(用于调制解调系统中波形成型)(Raised Cosine system of the source (for modulation and demodulation waveform prototyping system))

自动控制原理非常重要的内容之一：根轨迹法分析系统的性能(One of the very important principle of automatic control: root locus analysis system performance)

单纯形法matlab程序 求解标准型线性规划:max c*x s.t. A*x=b x>=0 本函数中的A是单纯初始表，包括:最后一行是初始的检验数，最后一列是资源向量b N是初始的基变量的下标 输出变量sol是最优解, 其中松弛变量（或剩余变量）可能不为0 输出变量val是最优目标值，kk是迭代次数( example：max 2*x1+3*x2 s.t. x1+2*x2<=8 4*x1<=16 4*x2<=12 x1,x2>=0)

matlab实现的瑞利衰落信道仿真程序，实现方法是MEA方法(matlab realize the Rayleigh fading channel simulation program, is to realize MEA method)