S229_BuckBoost_01

本程序为matlab程序关于模式识别的LMSE算法的简单应用，比较适合初学者使用(This program is about pattern recognition matlab program LMSE algorithm simple application, suitable for beginners to use)

Fast fourier transform for signal analysis

Image segmentation by clustering (Image segmentation by clustering)

此MATLAB程序可以用来滤除心电信号的噪声，对心电信号进行分层，定位QRS波(The MATLAB program can be used to filter out the noise of ECG signal, ECG signal layer, positioning QRS wave)

关于rake接收机原理仿真，包括性噪比的对照，误码率大小的比较。(Rake receiver on the principle of simulation, including the control of noise ratio, bit error rate of the size of the comparison.)

this is matlab code useful to remove noise

说明：  非常好的用复化梯形公式和外推法求解积分方程的matlab例程，附带报告，详细讲解原理，分析程序与结果，不可多得的报告(Very good with a complex trapezoid formula and extrapolation matlab routines for solving integral equations, with the report gave a detailed theory, analysis procedures and results, the report of a rare)

说明：  OQPSK的Matlab/Simulink调制解调仿真系统，包括匹配滤波，载波恢复，定时恢复等重要模块，可以观察眼图，仿真误码率，帮助理解OQPSK系统(OQPSK Matlab/Simulink simulation system modulation and demodulation, including matching filter, Carrier Recovery, timing recovery and other important module, we can observe the eye, simulation BER help understand OQPSK system)

Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. ％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)

对OFDM系统的仿真分析，对于初接触通信系统的朋友，会有所帮助，进一步了解ofdm。(OFDM system simulation and analysis，for who early contact with communication systems will help to better understand the ofdm。)