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详细介绍了如何用matlab进行雷达的仿真，性能评估，及信号处理(By using Matlab to do radar simulation, performance estimation, and signal processing)

本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors.)

color segmentation and bounding box from a video sequence in matlab

Cripple Pachelbel s Canon on MatlabCripple Pachelbel s Canon on Matlab(Cripple Pachelbel s Canon on Matlab)

burg变换，zak变换等，利用MATLAB实现，可用本程序实现对某个给定信号做对应的变换，效果良好，程序中还有关于误差的分析(burg transformation, zak transform using MATLAB to achieve, and the corresponding signal corresponding to do, transform, to good effect, as well as analysis of program errors)

说明：  这是学习matlab的经典课件的第二部分，第六到九章，包含微分方程求解、代数方程与最优化问题求解、概率论与数理统计问题求解、数学问题的非传统解法等等 (This is a classic learning courseware matlab second part of the sixth to nine chapters, including the differential equation solving, algebraic equations and optimization problem solving, probability theory and mathematical statistics, problem solving, mathematical problems of non-traditional method, etc.)

灰色理论多变量预测源代码，费很大劲找到的，预测挺不错的(Grey theory multivariable predictive source code, find great difficulty predicting very good)

该算法建立了格斗空战中本机和目标在进行迎头攻击时的空战三维视图。(The algorithm builds a three-dimensional view of aerial combat air combat aircraft and the target of attacks during head.)

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)

利用人工蜂群算法求解模型matlab源码(artificial bee colony)