cfar222

Matlab code for base band filter! working

通过确定执行边界的方法计算美式期权价格，并画出它的执行边界。(Determine the implementation of the boundary of the method to calculate the American option price and draw the boundary of its execution.)

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

evaluate the Newton form of the interpolating polynomial

Various mathematical tools in matlab

设计一CQMFB，低通滤波器H0(z)来自一半带滤波器。该半带滤波器的长度为47，通带截至频率ωp = 0.42π，试给出H0 (z)，H1(z)，G0(z)，G1(z)的幅频响应，单位抽样响应并画图。(Design a CQMFB, low-pass filter H0 (z) the half-band filter. The length of the half-band filter 47, the passband cutoff frequency ωp = 0.42π, try to give H0 (z), H1 (z), G0 (z), G1 (z) of the amplitude-frequency response, the unit sample response and Paint.)

OFDM链路级的仿真器场景是单小区单用户，信号从发送端发送，在接收端进行信号估计。估计误差可以从接收和发送信号的不同得到。仿真器的输出是BLER/BER vs SNR。(OFDM Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table。)

说明：  基于MATLAB的有限元分析工具箱，文件名即为函数运行名，其中包含了结构分析中需要的梁元、杆元函数，将工具箱解压到MATLAB工作目录后在路径中添加该文件夹路径即可。(The finite element analysis based on MATLAB toolbox, the file name shall be the function to run names, including the structure of the beam elements that need, member element function, MATLAB toolbox to extract working directory in the path to add the folder path can.)

各种算法的集合，自学matlab很不错的资料，在这里和大家共享啦(suanfa matlab)

采用Clewlow and Strickland 单要素日现货模型，利用Monte Carlo方法模拟商品现货价格的Matlab程序。(Commodity Model One Factor Spot Model：This code simulates commodity spot prices using the Clewlow and Strickland one factor daily spot model using a Monte Carlo approach. The derived stochastic differential equations (SDEs) are solved using several finite difference schemes.)