MATLABFFT-harmonic-analysis

rbm with bp for comprresion

说明：  在处理光学问题中常用的LM方法，有助于用matlab解微分方程(Optical problems in dealing with the LM method commonly used to help with matlab for solving differential equations)

DCT and PCA for face recognation

基于matlab＆simulink的仿真，无人机垂直起降问题，可直接运行。(Based on matlab & simulink simulation, UAV VTOL problems can be directly run.)

关于小波分析的matlab程序，大家可以参考一下~(On wavelet analysis matlab program, we can refer to)

详细画出了时域和频域的相关图，采用的是脉冲对消法，采用偏最小二乘法，最终的权值矩阵就是滤波器的系数，有小波分析的盲信号处理，最大似然（ML）准则和最大后验概率（MAP）准则，供做算法研究人员参考。( Correlation diagram shown in detail the time domain and frequency domain, It uses a pulse of consumer law, Partial least squares method, The final weight matrix is ??the filter coefficient, There Wavelet Analysis Blind Signal Processing, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Algorithm for researchers to do reference.)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

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.)

使用matlab进行雷达系统性能的分析与设计，里边有详细的理论分析以及matlab代码，非常有助于做雷达仿真(Radar system analysis and design using matlab,much detail about the theoretical derivation and matlab source code)

去处干涉条纹最有效的频域消除法，非常实用，效果极佳。(supress grid by frequency domain, very practical with high efficency)