MDFA

HCL Test Paper Pattern (HR Interview, Techincal And Aptitude) Aptitude is an online round. There were only 2 rounds for us. 1.Aptitude(2 Apps for IT and CSE) A. General aptitude(60 que in 50 min) B. Technical Aptitude(Data Structures,C,OS)[25 que in 20 min]

A Comprehensive Sparse Learning Package(Descriptions: Six sparse algorithms are implemented in this package. They are 1) SVM 2) L1-norm SVM a) Linear Programming SVM b) SC-SVM 3) L0-norm SVM 4) RVM (Relevance Vector Machine) 5) SPC (Sparse Probit Classifier))

均匀圆阵下基于UCA-ESPRIT的二维DOA估计的MATLAB程序(Under the uniform circular array based on two-dimensional DOA UCA-ESPRIT estimates MATLAB program)

metric learning using this for manifol learning

matlab离散优化，包括蒙特卡洛法，最短路dijkstra算法等(matlab discrete optimization, including the Monte Carlo method, the shortest path dijkstra algorithm)

It works very well in Matlab and is very efficient

说明：  滑膜变结构控制及应用源程序代码，清华大学出版社(Synovial variable structure control and application source code,Tsinghua university press)

本文介绍了数字信号处理中各种算法基本原理，包括Z 变换、DFT 变换及其快速 算法FFT 等信号变换算法和包括IIR 与FIR 数字滤波器的设计与实现，详细论述了利用 MATLAB 软件对信号变换和设计数字滤波器的原理﹑ 步骤和实现方法，并给出了基于 MATLAB 的模拟与仿真。文章最后给出了实验结果，并就其结果做了进一步的解释和说明。 关键词：Z 变换，离散傅立叶变换DFT，数字滤波器，系统结构仿真 (This article describes a variety of digital signal processing algorithms in the basic principles, including the Z transform, DFT transform and its fast algorithm FFT and other signal transform algorithm and including IIR and FIR digital filter design and implementation, discussed in detail by using MATLAB software, the signal transformation The principle and design of digital filters ﹑ steps and implementations, and gives MATLAB-based simulation and emulation. Article Finally, the experimental results and the results made on the further explanation and clarification. Key words: Z transform, discrete Fourier transform DFT, digital filter, system architecture simulation)

该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！(These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! )

matlab monte-carlo simulation for American option pricing and other path dependent derivative(matlab monte-carlo simulation for American option pricing and other path dependent derivative)