空时分集Alamouti方案的matlab程序，还附有一个说明文档。对于理解STC很有帮助。...

用于压缩感知的基追踪(Basis pursuit)算法，程序非常详细，仅供参考(Basis Pursuit (Basis is pursuit) algorithm for compressed sensing.)

多目标跟踪的改进Camshift/卡尔曼滤波组合算法(Multi-target tracking improvements Camshift/Kalman filter algorithm combinations)

Linear convolution between two sequences

分析橡胶挤出到人工分剪过程中的运动，以适应企业所生产所有规格橡胶为目标；以台达SV2型号PLC为控制核心，采用惠斯通电桥压电式传感器实时采集橡胶重量变化；针对现场加工环境中产生的振动干扰，并分析称重传感器采集到的称重信号；针对分剪系统响应速度与橡胶挤出速度匹配问题导致的不同挤出速度下误差的分布不同，且随着挤出速度的增大导致所分剪橡胶误差也增大的问题，(The movement of rubber extrusion to artificial shearing process is analyzed in order to adapt to the rubber of all specifications produced by the enterprise. Taking the delta SV2 model PLC as the control core and using the Wheatstone bridge piezoelectric sensor to collect the change of rubber weight in real time, the vibration interference produced in the field processing environment and the analysis of the weighing sensor are analyzed. The set of weighing signals; the distribution of errors at different extrusion speeds caused by the matching of the response speed of the shear system to the rubber extrusion speed is different, and the error of the shear rubber increases with the increase of the extrusion speed.)

“完全可增强”稀疏线阵入射多个不相关平面波的波达角方向(DOA)估计问题。在估计阶段之前确定了现有信号源(M)的数目，研究了在最大似然意义下DOA估计精度有效的条件。(The problem of DOA estimation for incoherent plane waves incident by sparse linear arrays with "fully enhanced" effect is discussed. The number of existing signal sources (M) is determined before the estimation stage, and the conditions for the accuracy of DOA estimation in the maximum likelihood sense are studied.)

HIO输入输出误差下降算法，利用幅值恢复相位(HIO input and output error reduction algorithm, using amplitude recovery phase)

This function can be used for Colour segmentation from the RGB Color images

steepest decend method for solving nonlinaer algebraic equations

雷达系统方程-------LMF 计算，利用相关参数(Radar system equation------- Model LMF calculated using the parameters)

使用灰色神经网络对钢铁企业的高炉煤气进行煤气的产生的预测(Using grey neural network for blast furnace gas of iron and steel enterprise production of gas prediction)