xiaobo

说明：  功率分配时非常有用的注水算法 数字通信课程有讲到(Very useful when the power allocation algorithm for digital communication courses injection mentioned)

用差分方法计算带时变系数的波动方程,界面可视。(simulate the wave functions with time-varying coefficients)

说明：  matlab下实现对高斯噪声下的小目标的滑窗检测。数据为1000个点，滑窗窗口大小为30，每次滑动一个点的数据。采用的是窗内30个数据先各自平方，然后求和，再除以窗口大小。实验表明能有效检测雷达目标信号。(matlab under Gaussian noise to achieve a small target detection sliding window. Data for 1000 point sliding window window size is 30, each time moving a point of data. Using the data before the window each 30 square feet, and then summed, divided by the window size. Experiments show that the radar target signal can be detected.)

三元均匀线阵列的方位估计，用于水声信号的方位估计(three arrays ULA DOA)

说明：  先进PID控制matlab仿真(第二版)源程序，作者：刘金琨，电子工业出版社，2004年9月第一次印刷。在控制方向十本不错的书，里面的控制算法很值得借鉴！(Matlab simulation of advanced PID control (second edition) source, Author: Liu Jinkun, Publishing House of Electronics Industry, in September 2004 the first printing. 10 in the control of the direction of a good book, which control algorithm is worth learning!)

线性最优状态调节器，一阶系统，Riccati方程的求解(Linear optimal state regulator, first-order system, Riccati equation)

cigre_b457_dc_test_systems

相干信号MUSIC，实现相干信号的来波方向估计(To wave direction estimation of coherent signals MUSIC, coherent signals)

随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。(With the human genome project implementation, through genome sequencing, protein sequencing experiments such as structural analysis, molecular biologists to provide a large amount of biological molecules of the original data, the need to use modern technology to these raw data collection, collation and management in order to facilitate retrieval use. To explain and understand these data, and data need to be compared to analysis, model, simulation, prediction and validation, therefore, bioinformatics, and its emergence has greatly promoted the development of molecular biology.)

基于matlab的纹理特征提取 基于灰度共生矩阵的纹理特征(Texture feature extraction based on matlab GLCM-based texture features)