OAPHQC27

Sample program to study Location Determination Techniques using OTDOA

实现了向量的聚类算法，输入三个参数：向量集合、划分数目和设定的阈值，就可得到聚类结果，以欧式距离作为距离判别准则。(Realize the vector of the clustering algorithm, the input three parameters: vector set and the division of number and set threshold, can get clustering results to the Euclidean distance as a criterion for distance. )

说明：  搭建BPSK+编码+交织仿真通信链路，仿真分析在不同信道条件下的不同译 码算法的误比特率性能。基于matlab，搭建BPSK+卷积编码+交织通信收发链路， 仿真参数如下： 1) 信源比特速率： 100 b R kbps = 2) 卷积编码：码率为1/2，生成多项式为（561,753） 3) 译码方式：维特比译码（硬判决译码、软判决译码（8 比特量化）） 4) 交织：行列交织，交织器深度为100bit，宽度为10； 5) 仿真点数：106(BPSK+ coding + interleaved simulation communication link)

matlab的很多原码。非常的详细。其中的一些本人用过，感觉很实用。(Many of the original code matlab.)

求解线性不定方程组的一个基解（未知数个数大于方程个数），代码简单有效，可以利用该代码求出所有基解，从而得到不定方程组解得一般形式(A radical solution for solving linear equations uncertain (unknown number greater than the number of equations), the code is simple and effective, you can use the code to all base solution obtained, resulting in variable equations have the general form of the solution)

用于通信行业领域，输出一些特定的脉冲波，如连续时间周期三角波、方冲脉波等等(For the communication industries, certain pulse output, such as continuous-time periodic triangular wave, square red pulse)

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets)

一个简单的支持向量机（SVM） matlab实现(a simple support vector machine realize used of matlab)

阵列天线的DOA估计MUSIIC算法，只有几行简单易懂的代码 (The array antenna DOA estimation MUSIIC algorithm, and only a few lines of easy-to-understand code)

相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。(DeconvNet well written and easy to understand compared to relatively simple. But the original code to the data inside can not seem to run. Fortunately, there are some code with the author uses TCNN, such action recognition, can be downloaded along down the reference. This code is the main feature tiled structure that can be used for reference, and then put inside the ICA optimization functions into RICA, Sparse Coding and so on. In short, this code can also learn a lot (such as line search, etc.).)