gatbx

arc engine初级代码开发，对初学者很有帮助。希望能帮助广大初学者。代码很短，但是很经典。下载后可以直接用。(arc engine primary code development, helpful for beginners. Hoping to help the beginners. Code is very short, but very classic. After downloading can be used directly.)

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.).)

用MATLAB程序打开数字地震数据记录SAC格式。(using Matlab, it can open the data of seismic wave.)

分析了影响多雷达组网对目标跟踪精度的因素以及与单雷达的差异,提出了定义雷达网目 标定位精度,以及评估多雷达组网后在目标定位精度方面带来增益的方法。推导了雷达网对目标定 位精度和相应评估指标的估计公式。该文方法不要大量的计算机仿真就可以方便地评估2-D、3- D以及混合雷达网的目标定位精度和效能。通过应用实例说明了该文方法的优点和有效性。 (The factors that affect the location accuracy of target tracked by multi-radar are analyzed.The method to define target location accuracy and the metrics to evaluate the accuracy improvement efficiency of a radar net- work are presented.The analytical expressions are developed to estimate the target location accuracy and the effi- ciency metricsof a radar network.The presented method is convenient to evaluate the target location accuracy and the efficiency of 2-D,3-D as well as the heterogeneous radar network instead of the tedious computer simula- tions.The advantages and the validity of the method are demonstrated by an application. )

a m.file that simulate BPSK with encoder, and channel burst is considered.

matlab实现遗传算法，并绘出过程曲线(matlab implementation of genetic algorithm)

利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。(K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.)

Kmeans聚类算法的一个示例 是一个简单的程序但是体现了思想(a simple example of K-means algorthm which contains the core thinking method of clustering)

利用music算法，在考虑幅度误差时，对信源个数，信噪比，快拍数进行变化，观察这三个数在什么范围变化时测向的准确度高。天线测向(Music algorithm, considering the magnitude error, the number of sources, signal-to-noise ratio, snapshots number of changes observed these three the number of measured to what extent changes to the high accuracy. Antenna direction finding)

杜哈梅积分的过程，适合初学者，详细程序，强烈推荐(Duhamel integral process, suitable for beginners, detailed procedures, it is strongly recommended)