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matlab编程100例 1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇(matlab programming is 100 cases of 1-32: 33-66 chapter graphics applications is: interface design articles 67-84 is: graphics processing chapter 85-100 are: Numerical Analysis Section)

Matlab上实现的多尺度、多方向、多频率的二维gabor滤波器(2D gabor filter achieved by Matlab, based on multi-scale, multi-directional, multi-frequency )

阵列信号处理算法中的LCMV算法，仿真场景：8元均匀线性阵列，阵元间距为1/2波长，干扰入射方向为45度，干噪比为40dB。附报告、源程序、仿真截图，内容详尽，希望对您学习有所帮助。(Array signal processing algorithm LCMV algorithm simulation scenarios: 9 element uniform linear array, the array element spacing is 1/2 wavelength, the interference incident direction of 45 degrees, interference and noise ratio of 40dB. Attached report, source code, simulation screenshots, detailed, hope to help you learn.)

Stack Map Frame Visitor Source Code for Andriod.

LTE 下行链路系统代码 含信道估计，编解码以及频偏估计模块(LTE downlink system including channel estimation code)

本程序设计的是咬尾编码的turbo码，用matlab编写。咬尾turbo码也即不需要拖尾比特，使得前后两个状态相同，译码采用修正的MAP译码算法。此文件为咬尾编码的主程序，将数据流分段编码并行处理(This program is designed to encode the turbo tail biting code, written with matlab. Tail biting turbo code that is not trailing bits to make the same before and after the two states, the MAP decoding using modified decoding algorithm. This file is biting the end of the main program code, the encoded parallel data stream segment)

matlab图像处理，第十章，图像分割处理(matlab image processing, Chapter X, image segmentation processing)

针对差分进化算法的程序，基于matlab，(Procedures for the differential evolution algorithm, based on matlab,)

Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence. To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m. To run on individual video, you need to modify the dataPath and title in run_individual.m. If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!

多目标的DOA估计 对多个目标的DOA来向进行跟踪，估计其来向角度等信息(DOA MUSIC estimated)