ave_method

完整的在LTE标准下MIMO+OFDM仿真程序 (LTE system simulation about MIMO+OFDM)

设计一超前校正环节，使得超调量为20 ，调节时间为1s。系统单位斜坡稳态响应误差为10 。并作出校正前后后的系统单位阶跃响应时域曲线加以比较。(Design a lead correction link, so the overshoot is 20 , adjust the time of 1s. Steady-state response of the system unit error of the slope is 10 . Made before and after correction and after the system unit step response curves are compared in time domain.)

《MATLAB信号处理超级学习手册》随书光盘， 《MATLAB信号处理超级学习手册》以MATLAB R2013a版本为基础，系统地讨论了数字信号处理的基本理论、基本分析方法、基本算法和设计方法，涉及了数字信号处理的各个方面，是一本比较全面的信号处理参考书。( MATLAB Signal Processing super study manual In MATLAB R2013a version of the basis, the system discussed in the basic theory of digital signal processing, the basic analysis methods, basic algorithms and design method involves all aspects of digital signal processing, it is a more comprehensive signal processing reference.)

matlab从入门到精通第9章书后源码对初学者很有帮助(matlab)

说明：  关于matlab的八十个实际问题，希望在大家学习matlab过程中有所帮助(Matlab eighty on the practical problems we hope to help the process of learning matlab)

mimo信道stpc编码仿真 数字是收发天线数 (MIMO STPC channel coding simulation digital transceiver antenna number is )

基于卡尔曼滤波器的交互多模估计器，含有两个模型，跟踪误差计算完成(Interactive multi-mode estimator based on the Kalman filter contains two model tracking error calculation is complete)

状态模型的极大似然估计，使用EM算法，以及卡尔曼滤波。(This supplementary note discusses the maximum likelihood esti-mation of state space models using Expectation-Maximization (EM) algorithm and bootstrap procedure for statistical inference. A Matlab program script implement-ing the Kalman ¯ lter, Kalman smoother and EM algorithm)

用matlab设计FIR维纳滤波器 假设一个点目标在x，y平面上绕单位圆做圆周运动，由于外界干扰，其运动轨迹发生了偏移。其中，x方向的干扰为均值为0，方差为0.05的高斯噪声；y方向干扰为均值为0，方差为0.06的高斯噪声。用该滤波器处理观测信号，得到其最佳估计。(FIR Wiener filter design using matlab Suppose a point target in the x, y plane around the unit circle in a circular motion due to external interference, its trajectory shift occurred. Which, x the direction of the interference of mean 0 and variance of 0.05 Gaussian noise y direction of the disturbance is zero mean Gaussian noise variance 0.06. Observed with the filter processing signal, to get the best estimate.)

粒子滤波算法在电池寿命预测中的应用，程序仿真(Application of particle filter algorithm in battery life prediction and program simulation)