Array-Signal-Processing

设计的一个十进制的计数器，以J-K触发器为基本。以simulink为开发环境。(Design of a decimal counter to the basic JK flip-flop. In simulink development environment.)

copula中对边缘函数的说明copula的均匀分布的估计及Garch模型的拟合(The description of the edge function in copula)

格式：[huffcodes，氢，領 ，电子] = huffmancoding（磷，氮） ％输入：p是每个字母符号的概率 （如：对= [0.3 0.2 0.2 0.2 .06 .04]） n是一个整数，决定在每个帧的符号数量 （默认：n = 1时） ％输出：huffcodes：huffmancodes 答：源熵 甲肝：平均熵编码 电子邮件：科丁效率(format : [huffcodes,H,Hav,e]=huffmancoding(p,n) inputs: p is the probability of each alphabet symbol ( eg:p=[.3 .2 .2 .2 .06 .04] ) n is an integer that determines number of symbols at each frame (default:n=1) outputs: huffcodes: huffmancodes H: source entropy Hav: average entropy for coding e: codding efficiency )

语音降噪 减谱法 是一个子程序 用与dsp语音降噪(noise reduce)

matlab编程实现对图片进行高斯低通滤波(matlab programming the picture Gaussian low-pass filter)

Simple lorem ipsum generator

用曲线拟合的方式估计线性调频信号的初始频率及其调频斜率。得到的效果比较好。(Curve fitting way to estimate the initial frequency and chirp rate of the linear FM signal. Get better.)

用LMSE方法验证两类的可分性，介绍了LMSE算法(LMSE method validation can be divided into two categories , the LMSE algorithm )

说明：  粒子群优化算法(PSO：Particle swarm optimization) 是一种进化计算技术（evolutionary computation）。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解．(PSO (Particle Swarm Optimization) is an evolutionary computation. It comes from studying the behavior of flocks of birds. The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation and information sharing among the individuals in the group.)

使用matlab分析传统光学系统中加入三次相位掩模板之后其点扩散函数的焦点偏移(Analysis using matlab conventional optical system by adding three phase mask after the point spread function of its shift in focus)