MATLAB-code

这个代码能够比较精确地实现图像中道路区域的分割与提取。(This code addresses this question by decomposing the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of the corresponding road area based upon the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, and a new vanishing-point-constrained edge detection technique for detecting road boundaries.)

ORL人脸数据库，用于图形图像处理，对新接触MATLAB的人来说是一个很好用而且比较简单的数据库，包含40种不同的人脸(ORL face , for graphics and image processing, the new contact MATLAB who is a very good and relatively simple , contains 40 different face)

三元阵的信号相位匹配法,结合相位匹配法的公式就能很好的理解其仿真原理(ternary array signal phase matching, phase matching with the formula can be very good understanding of its principles Simulation)

state of charge of battery with ekf

进行emd分解，画边界谱，数字信号处理的基本程序(A basic program for EMD decomposition, boundary spectrum, and digital signal processing)

Introduction à MATLAB et Simulink

CA code generator of GPS signal

含均匀和非均匀传输线计算，滤波，判断奇异点(with uniform and non-uniform transmission line, filtering, judgment singular point)

mimo ofdm project work

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.