kalmanfilter

说明：  实现米散射算法，其中文件mie.m为主算法。(The Mie scattering algorithm is implemented, in which the file mie. m is the main algorithm.)

包括几种常用的无约束优化算法，比如最速下降法、BFGS算法、共轭梯度法等等(Including unconstrained optimization algorithms in common use)

说明：  本篇讲解遥控信号的ASK、FSK、PSK解调与动画设计的Matlab程序实现。 (This remote control signals on ASK, FSK, PSK demodulation and animation design of the Matlab program.)

说明：  扩展遗传算法SPEAII(Strength Paretor Evaluation Algorithm)算法的代码实现,良好的程序框架，便于向其他应用领域扩展，建议大家使用。(Extended genetic algorithm speaii (strength paretor evaluation algorithm) algorithm code implementation, a good program framework, easy to expand to other application areas, it is recommended that you use.)

说明：  基于sift的图像拼接算法，应用sift算法匹配，ransac算法进行提出错误匹配点，亲测可用(sift image matching ransac)

说明：  中频信号正交采样（数字下变频）单频信号、 BPSK信号的低通滤波法(signal quadrature sampling (digital down conversion) for single frequency and BPSK signal use Low pass filtering)

说明：  利用遗传算法的全局搜索能力，可以避免传统的多目标优化方法在优化过程中陷入局部最优解，保持解个体的多样性。(By using the global search ability of genetic algorithm, it can avoid the traditional multi-objective optimization method falling into the local optimal solution in the process of optimization, and keep the diversity of solution individuals.)

说明：  实现UWB仿真，用于实现自动追踪定位，即卡尔曼滤波算法(Implement UWB simulation for automatic tracking and positioning, namely Kalman filter algorithm)

关于通信系统的simulink仿真，包括基本介绍，数字信号传输，信道编码，OFDM方式，MIMO系统仿真(On the communication system simulink simulation, including a basic introduction to digital signal transmission, channel coding, OFDM mode, MIMO system simulation)

全数字解调下16QAM信号的频偏估计的TD-GG算法实现。TD-GG算法是在TD和GG算法基础上提出来的，有较大的频偏估计范围和较好的估计精度，很好的解决了传统的非数据辅助频偏估计算法中估计范围和精度不能兼顾的问题，而且这种算法易于实现。(Digital demodulation under the 16QAM signal frequency estimation TD-GG algorithm. TD-GG algorithm is based on the TD and the GG algorithm is proposed, and have greater range and better frequency estimation of estimation accuracy, a good solution to the traditional non-data aided frequency offset estimation algorithm to estimate the range and accuracy not take into account the issue, and this algorithm is easy to achieve.)