generat_ofdm

信号处理书中所附光盘，包括各个章节，很全，大部分能直接拿来用，很实用(The book accompanying CD-ROM signal processing, including various chapters, it is the whole, most can be brought directly to use, very practical)

Creates an ensemble of cart trees similar to the matlab TreeBagger class

matlab作为专业软件，在此上传其七专业讲座，希望能对大家有帮助(matlab as a professional software, in this upload its seven professional seminars, I hope you can help)

数字信号处理、图像处理 中值定理有关原理内容 快速算法(Digital signal processing, image processing, the mean value theorem principle content Fast Algorithm)

瑞利信道下，stbc22,24,44，wuma仿真，以及通过奇异值分解的44天线的误码仿真，(Rayleigh channel, stbc22, 24,44, wuma simulation, as well as through the singular value decomposition of 44 antennas BER simulation,)

说明：  优化算法的matlab程序，比较通用，但需要适当修改(Optimization algorithm matlab procedures, more generic, but with appropriate modifications)

ITS matlab code running explanation of motor and clearly gave the characteristics

单位功率因数矫正器(UPQC)由一系列的主动功率滤波器组成，可以调节分布式能源系统中的功率因数，该算法采用神经网络方法，实现功率因数的调节。(A Unified Power Quality Conditioner (UPQC) is an integration of series and shunt active filters to improve power quality in a power distribution system. Model-based control of UPQC has attracted attentions in recent years, which aims to regulate the source current and the load voltage to the desired reference signals in spite of the existence of harmonic components in the supply voltage and the load current, possible sag or swell in the supply voltage, and variations in the load current. However,most of the previous studies did not take the control saturation )

MIMO OFDM matlab仿真,针对EMD方法的不足,esprit算法对有干扰的信号频率进行估计。( MIMO OFDM matlab simulation, For lack of EMD, esprit algorithm signal frequency interference can be assesse.)

Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.