rl

CIC filter setup, this is special used for the DDC

滤波器设计示例：matlab设计IIR基本示例，matlab设计IIR高级示例，matlab窗函数设计FIR滤波器基本示例。(Filter Design Example: matlab basic sample design of IIR, matlab advanced example of IIR design, matlab window function, the basic design of FIR filter example.)

说明：  matlab算法集 matlab算法集 (matlab algorithms algorithms matlab)

智能天线上行链路的MUSIC算法仿真程序,窄带信号,高斯白噪声环境(smart antenna uplink MUSIC algorithm simulation program, narrowband signals, white Gaussian noise environment)

matlab解决多旅行商问题，数学建模中的灾情巡视的源码。(matlab solve the traveling salesman problem, the disaster inspection in the mathematical modeling of source.)

KNN algorithm on IRIS data using matlab

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

3D-MIMO信道模型 仿真代码 可由此建立LTE现今采用的3DMIMO模型(3D-MIMO channel model simulation code can thus establish 3DMIMO model today adopted LTE)

OFDM system implementaion

LBP算法MATLAB实现,3个m文件。getmapping，LBP，lbptest。(LBP algorithm based on MATLAB implementation, 3 m documents. getmapping, LBP, lbptest.)