Chapter5

LPP是局部保局投影方法，这里给出了matlab的源码(lpp code for face recognition)

calssification algorithm

说明：  有序统计均值类恒虚警检测器（OSCAGO and OSCASO CFAR），综合了CA和OS检测器的特点。(detectors based on ordered statistic and cell averaging constant false alarm rate (OSCA-CFAR))

Fonction to calculate autocorrelation for matlab version before 2010

用MatLab编制的梁单元模态计算的有限元程序，可以计算框架系统的振动模态和频率。(The MatLab program for vibration analysis of beam element)

compress an image using DCT transform

人体脑信号波形检测与分析，包含自相关，功率谱分析的方法(human brain signal waveform detection and analysis, including autocorrelation, power spectrum analysis method)

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.

1、本程序用于仿真里德-穆勒（Reed-Muller）码在AWGN信道中的性能，调制采用bpsk 2、理论请参见《差错控制编码》（第二版），Shu Lin（美）编，晏坚等（译）一书P70-75.且仿真结果与书中图4-2完全一致 3、BPSK_AWGN_RM_Code.m为主程序，点击运行即可 4、The_creation_of_RM_code.m和RM_Decode.m分别为RM码的编、译码程序，而Majority_logic_decision.m用于译码中的大数判决，combine_dunction.m用于计算组合数。(1, the procedure for the simulation Reed- Muller (Reed-Muller) codes in AWGN channel performance, modulation using bpsk 2, theory, see " Error Control Coding" (second edition), Shu Lin (America) series , Yan Jian, etc. (translated) book P70-75., and the simulation results consistent with the book Figure 4-2 3, BPSK_AWGN_RM_Code.m-based program, click Run to 4, The_creation_of_RM_code.m and RM_Decode.m were RM compiled code decoding process, and in large numbers for decoding Majority_logic_decision.m judgment, combine_dunction.m used to calculate the number of combinations.)

主要完成了8个部位脑电波数据的读取及动态曲线绘制，并添加了相应的波动曲线以便观察脑电信号的变化差异.附加脑电波原始数据，可成功运行。(Mainly completed reading and drawing dynamic curves from eight parts of the brain wave data, and add the corresponding fluctuation curve in order to observe differences in changes in EEG. Additional raw brain wave data can be run successfully.)