paper3

该书有助于matalb的学习，还有工程应用(The book will help matalb learning, as well as engineering applications)

该程序是利用遗传算法求解f=21.5+x1sin(4*pi*x1)+x2sin(20*pi*x2)在-3.0<=x1<=12.1 和 4.1<=x2<=5.8 上的最大值 (The program is the use of genetic algorithms f = 21.5+x1sin (4* pi* x1)+x2sin (20* pi* x2)-3.0 < = x1 < = 12.1 and 4.1 < = x2 < = maximum of 5.8 on the)

OFDM信道估计代码，通过LMMSE估计、LS估计、SVD估计进行研究。并通过MATLAB仿真平台进行仿真，对三种信道估计算法及它们的性能进行了仿真分析和比较。(OFDM channel estimation)

This project is about Amplitude shift keying

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)

根据二维空间内目标作匀速直线运动和匀速圆周运动的特点，在建立目标运动模型和观测模型的基础上采用基于交互多模算法（IMM）的卡尔曼滤波器对机动目标进行跟踪。仿真结果表明，该算法不仅能够对匀速直线运动和匀速圆周运动的目标进行跟踪，而且在运动模型发生变化时，滤波误差也比较小。 关键词：卡尔曼滤波器；目标跟踪；机动；交互多模（IMM） (two-dimensional space under target for uniform linear motion and uniform circular motion characteristics, the establishment of the target model and observations on the basis of the model based on interactive multi-algorithm (IMM) Kalman Filter right track moving targets. Simulation results show that the method can not only on uniform linear movement and the uniform circular motion of the target tracking, and the campaign model change, the filter error is relatively small. Keywords : Kalman filter; Target tracking; Mobility; Interactive multi-mode (IMM))

cross entropy for function minimization

说明：  用于计算HURST指数的分形维数的MATLAB小程序，属于经典的。(HURST index used to calculate the fractal dimension of the MATLAB small procedures, are classic.)

PCM编码MATLAB实现，能够在MATLAB环境下实现PCM量化编码，编码效率高，编码易于实现，简单易懂(PCM coding MATLAB, the MATLAB environment to achieve PCM quantization coding, coding efficiency, coding is easy to implement, easy to understand)

texture using matlab