FCM

说明：  一篇关于SVM和adaboost算法对比的文章。分别运用两种方法进行目标识别，比较算法与结果(A comparison on the SVM algorithm and adaboost article. Two methods were used for target identification, comparison algorithm and results)

对多天线系统进行了系统的分析。多发射天线，多接收天线。(mimo system analysis)

卫星电视接收 dm500 源码，dm500 dm500(Satellite TV receiver dm500 source, dm500 dm500)

回路成形方法设计H_infinity控制器的matlab工具箱。(H_infinity control toolbox using loop shaping method.)

语音识别，运用DTW算法，UI界面显示。(Speech recognition, using DTW algorithm, UI interface display.)

matlab生成四种波形的mif文件，供fpga中rom仿真使用(Matlab generates four waveform mif files for use in fpga rom emulation)

粒子群寻优。 利用粒子群寻优的方法，对神经网络进行训练。(Particle swarm optimization. The use of particle swarm optimization method for neural network training.)

实际系统地介绍了语言与MATLAB接口函数的编程方法。用实例详细地介绍了MATLAB中所供的数据类型在C-MEX函数中的编程方法。(Actual systematic introduction to the language with the MATLAB programming interface function. Described in detail with examples in MATLAB for the data types in C-MEX function of programming.)

编程实现了F-K变换，可以用于地震数据二维视速度滤波(Programming the FK transform two-dimensional seismic data can be used to filter the apparent velocity)

We present a user-scheduling scheme for multiuser multiple-input–multiple-output (MIMO) systems with random unitary beamforming (RUB) in this paper. The new scheme, which is termed as adaptive beam activation based on the conditional best beam index feedback (ABA-CBBI), requires low average feedback load by imposing a feedback threshold on the users’ signal-to-interference-plus-noise ratio (SINR) and suffers less multiuser interference by only activating those beams requested by at least one user.