FBG

Hough transform for line detection. (very fast and easy solution). written by : Ebaadat Ghanbari Parmehr. Nov.21.2004. University of Tehran. Faculty of Engineering. Surveying and Geomatics Department. Photogrammetry Devision.

Compressed Sensing Theory and Applications Cambridge University Press 2011 （第五章）(Compressed Sensing Theory and Applications Cambridge University Press 2011 (Chapter V))

固定长度winnow译码程序，使用汉明编码进行误码协商，确保通信双方信息一致(Fixed length winnow decoding program that uses Hamming coding error consultations to ensure that information is consistent communicating parties)

frequency hopped spread spectrum code

用LMS算法实线性均衡结构现光纤信道的自适应均衡，简单实用(LMS algorithm with real-balance structure is linear fiber channel adaptive equalization, simple and practical)

matlab课程编程【谷速软件】matlab从图像中提取字母(matlab programming course speed [Valley] matlab software to extract letters the image)

PCM linear system designed on Simulink

理发店系统的模拟，背包问题求解得穷举法得到最优解的程序等的MATLAB程序源代码(Barbershop system simulation, Knapsack Problem was exhaustive method to obtain the optimal solution procedures for the MATLAB source code)

说明：  一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计 算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。 该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对 快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。(Algorithm on High Resolution DOA Estimation without Sources Number：Many of the super resolution DOA(Direction-Of-Arrival) estimation algorithms presume the number of signal sources. Since the sample snapshot is limited, however, the available algorithms on source number estimation may fail at lower SNR. In this paper, a novel algorithm for high resolution DOA estimation is proposed, which not only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot, it may be viewed as a combination of merit of conventional Capon and MUSIC method.)

matlab实现的简单的图像检索，通过收集图像的信息，在图像集合中找到与目标相似的图像，包含多种信息收集方法(matlab to achieve a simple image retrieval, image collection, image collection to find images similar objectives, contains a variety of information collection methods)