MIMOofdmchangesinthesystemsymbolerrorate

simulink中按照相关公式建立的发动机模型(established in accordance with the relevant formula simulink engine model)

MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a comprehensive introduction to the basic theory and practice of wireless channel modeling, OFDM, and MIMO, with MATLAB
programs to simulate the underlying techniques on MIMO-OFDM systems. This book is primarily designed for engineers and researchers who are interested in learning various MIMO-OFDM techniques and applying them to wireless communications. It can also be used as a textbook for graduate courses or senior-level undergraduate courses on advanced digital communications. The readers are assumed to have a basic knowledge on digital communications, digital signal processing, communication theory, signals and systems, as well as probability and random processes.

希尔伯特黄变换理论及其应用探讨,基本原理，EMS算法(Hilbert-Huang Transform and Its Applications, basic principles, EMS algorithm)

coding for papr reduction

Analysis and evaluation of mechanical workshop using fuzzy logic with matlab.

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

为IEEE TRANSACTIONS ON SIGNAL PROCESSING 的信号源被动定位与跟踪领域的经典文章“Alleviating Sensor Position Error in Source Localization Using Calibration Emitters at Inaccurate Locations”的实现程序。(For the IEEE TRANSACTIONS ON SIGNAL PROCESSING passive source localization and tracking areas of classic article " Alleviating Sensor Position Error in Source Localization Using Calibration Emitters at Inaccurate Locations" implementation process.)

矩形排样的剩余矩形优化算法。在matlab中的实现。(The rectangle layout of the remaining algorithm, MATLAB optimization and efficient use of raw materials )

是关于变结构控制的一个简单实例，其中包括控制函数的选取(on variable structure control a simple examples, including the selection control function)

介绍了小波变换的基本应用，采用小波滤波的方法实现对一组数据的处理，处理结果表明，选取合适的小波基函数以及分解层数才能够达到理想的效果(The basic application of wavelet transform, wavelet filtering method to achieve a set of data processing, processing results show that selecting the appropriate wavelet basis function and decomposition level to be able to achieve the desired results)