LFM_radar

用matlab实现的最近邻算法，可以参考一下(Matlab achieved by nearest neighbor algorithm, you can refer to)

说明：  MATLAB 仿真MLSE，DFE，FFE均衡效率比较。(MATLAB simulation of MLSE, DFE, FFE balance efficiency comparisons.)

eeglab11_0_0_0b最新版eeglab，界面更清晰，功能更全面。 这是一款可以处理采集到的脑电数据以及ERP数据的软件，富含各种数据处理方法ICA，频谱分析等。(Latest version eeglab, the interface is clearer, more comprehensive.This plugin can process the acquired EEG data and ERP data, a variety of data-rich approach the ICA and spectral analysis.)

自适应控制算法，MRAC，matlab中simulink仿真源代码以及ppt讲解。是自适应控制必不可少的资料(Adaptive control algorithms, MRAC is, Matlab simulink simulation source code, and explain ppt. Information essential for adaptive control)

图像恢复的几个程序，旋转恢复是用vc写的，其余是matlab的，这几个程序比较挑图像，如果一幅效果不好，换一个做，图像恢复程序大都这样。()

CONVNFFT_Folder programming

A SIMPLE MODEL ESTIMATOR FOR MULTIPLE MODEL CONTROL. BUCK DC-DC CONVERTER APPLICATION

WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有 WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分 WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计 WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》 因为白噪声信道仿真只能体现QPSK调制和RS-CC编码的性能，需要仿真SNR可控的SUI信道，来估计信道均衡的性能。 在多普勒频偏fd>100Hz时，联合信道估计性能才比前导估计强，否则前导估计性能更优。对于600MHz中心频率，要求收发机相对运动速度大于180km/h，这种情况出现的概率不大(WIMAX_WZ_withencoding: channel estimation, phase noise compensation, frequency estimation, the codec has WIMAX_WZ_withoutencoding: the project on the basis of the above, remove the codec section WIMAX_WZ_withoutprocessing: the project on the basis of the above, then remove the phase noise compensation, offset estimation WIMAX_WZ_withoutprocessing2: In the project on the basis of the above, use the new leader and pilot joint channel estimation scheme, the document " Standards-based 802_16d OFDM channel estimation and implementation of technology .kdh" because white noise channel simulation only reflects the QPSK modulation and RS-CC coding performance requires simulation SNR controllable SUI channel, to estimate the performance of channel equalization. When Doppler shift fd> 100Hz, joint channel estimation performance was stronger than the leading estimate, otherwise better estimation performance leader. For 600MHz center frequency transceiver requirements relative velocity )

分枝定界法求解整数规划的MATLAB实现(Branch and Bound Method for Solving Integer Programming MATLAB to achieve)

此为基于MATLAB平台计算指纹图像中两点之间穿越纹线数(For fingerprint processing is calculated through the ridge)