rotateXLabels

One of the significant drawback of OFDM system is the possibility to experience large peaks since the signal shows a random

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)

说明：  matlab主成分分析代码，可直接修改参数即可运用于建模(Matlab principal component analysis code)

GAC模型代码，很好的matlab代码，希望大家多多分享(GAC model code, good code matlab)

说明：  禁忌（Tabu Search）算法是一种亚启发式(meta-heuristic)随机搜索算法，它从一个初始可行解出发，选择一系列的特定搜索方向（移动）作为试探，选择实现让特定的目标函数值变化最多的移动。为了避免陷入局部最优解，TS搜索中采用了一种灵活的“记忆”技术，对已经进行的优化过程进行记录和选择，指导下一步的搜索方向，这就是Tabu表的建立。(Tabu Search algorithm is a meta-heuristic random search algorithm. It starts from an initial feasible solution, chooses a series of specific search directions (movement) as a trial, and chooses to achieve the movement that makes the most changes in the value of a specific objective function. To avoid falling into local optimum, TS search uses a flexible "memory" technology to record and select the optimization process that has been carried out, and to guide the next search direction, which is the establishment of Tabu table.)

我最近发表的一篇卡尔曼滤波的论文和程序，有详细的注释，且论文已发表，通过专家审核，滤波程序精度高，希望能对大家有帮助。(I recently published a Kalman filter papers and procedures, detailed notes, and papers have been published, through expert review, filtering procedures with high precision, hoping to be helpful to everyone.)

说明：  希尔伯特 黄变换中EMD分解函数以及信号的时频特性希尔伯特谱函数的源代码(matlab source code examples of simple applications, simple to use easy to understand for beginners.)

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)

通过调用DSP builder中的设计模块设计的DDS，已经验证通过，可调节频率字来调节输出频率(Through the design module called DSP in the builder DDS, which has been verified by word frequency, can be adjusted to adjust the output frequency)

参考文献《外辐射源定位跟踪技术的研究》(两步加权最小二乘法)以及 《a simple and efficient estimator for hyperbolic location》对Chan算法进行仿真；认定基站数目为5个； (The Chan algorithm in the TDOA location based on the CDMA cell network)