Assignment

卡尔曼滤波器设计MTALAB实现代码,根据matlab中提供的kalman函数进行设计，需要设计出“动态方程”和“观测方程”(Kalman filter design to achieve MATLAB code, under which the Matlab Tracking function for the design, the need to design "dynamic equation" and "observation equation")

基于matlab的ofdm系统仿真，通过仿真实现了ls 和LMMSE准则的信道估计，并仿真比较了两种方法的性能(Matlab ofdm systems based on the simulation, the simulation criteria to achieve the ls and LMMSE channel estimation, and simulation performance of the two methods compared)

用matlab实现的均值滤波函数，可以有3*3,5*5等多种窗口可选(Using matlab to achieve the mean filter function, can have 3* 3,5* 5 and many other window options)

说明：  阵列信号处理，空时抗干扰的HA算法Matlab仿真(Array signal processing, space-time algorithm for Matlab simulation of interference of the HA)

基于负荷平衡的配电网重构程序 matlab下调试通过 (reconfiguration for distribution achieved)

说明：  仿真IEEE 802.15.SG3a统计模型得到信道冲激响应。(Simulation IEEE 802.15.SG3a statistical models are channel impulse response.)

产生指定长度的S-rand interleaver序列的程序 (produce S-rand interleaver )

该程序实现了高斯白噪声环境下直流电平的检测.画出了似然比门限,虚警,漏警随先验概率,代价因自等变化的情况.(The program to achieve the detection of DC level Gauss white noise environment. Draw the likelihood ratio threshold, the false alarm, alarm with the prior probability, cost because of the changes.)

MATLAB函数参考手册，查看matlab函数作用以及功能。( SVMLSPex02.m Two Dimension SVM Problem, Two Class and Separable Situation Difference with SVMLSPex01.m: Take the Largrange Function (16)as object function insteads ||W||, so it need more time than SVMLSex01.m Method from Christopher J. C. Burges: "A Tutorial on Support Vector Machines for Pattern Recognition", page 9 Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16) Subject to: sum{ai*yi}=0 ,function (15) and ai>=0 for any i, the particular set of constraints C2 (page 9, line14). The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.)

卡尔曼滤波器介绍,适合初学者了解卡尔曼滤波器的原理！(Kalman filter is introduced, suitable for beginners to understand the principle of Kalman Filter!)