RRRAnalysis

语音回声消除的频率空间算法，空间传递函数自己模拟(echo cancellation frequency domain algorithm)

Experimental and Modeling Studies of a Brillouin Amplifier文献中的数值模拟部分的matlab代码实现(Matlab code implementation of numerical simulation in literature of Experimental and Modeling Studies of a Brillouin Amplifie)

these m files contain the solution of some problems in the book "communication system" by Haykin

cs的omp恢复算法,使用恢复矩阵，观测矩阵(The physics of compressive sensing (CS) and the gradient-based recovery algorithms are presented. First, the di® erent forms for CS are summarized. Second, the physical meanings of coherence and measurement are given. Third, the gradient-based recovery algorithms and their geometry explanations are provided. Finally, we conclude the report and give some suggestion for future work.)

The Gaussian mixture probability hypothesis density filter (GM-PHD Filter) was proposed recently for jointly estimating the time-varying number of targets and their states a noisy sequence of sets of measurements. ( The Gaussian mixture probability hypothesis density filter (GM-PHD Filter) was proposed recently for jointly estimating the time-varying number of targets and their states a noisy sequence of sets of measurements .)

OFDM全系统仿真,matlab2006A仿真通过(OFDM system-wide simulation, matlab2006A simulation through)

利用FDTD方法计算简单目标（如：方柱）的RCS，通过迭代求解，近远场外推，得到远区场的结果 (Using the FDTD method to calculate the RCS of simple objects(such as square column), through iterative solution, Near far field extrapolation to get the results of far field)

simulink model of an impedance source inverter. try to verify the performance. it is for study purpose..

MATLAB工具箱函数，适合于凸优化计算，CVX，使用简单，应用广泛(MATLAB toolbox function, suitable for convex optimization, CVX, easy to use, widely used)

电力负荷预测是电力系统规划的重要组成部分，也是电力系统经济运行的基础，其对电力系统规划和运行都极其重要。利用粒子群算法优化支持向量机更加高效准确预测电力负荷。(The power load forecasting is an important part of the power system planning, and it is also the basis of the economic operation of the power system. It is very important to the planning and operation of the power system. Particle swarm optimization is used to optimize SVM to predict power load more efficiently and accurately.)