object_detection

This codes describe a basic implementation of cognitive radio networks.Hope it is useful.

模式识别作业三，对属性的优先选择和数据分类。(Pattern recognition job priority attribute selection and data classification.)

一个模糊PID控制程序，隶属度函数和模糊规则都已整定过(A fuzzy PID control procedures, membership functions and fuzzy rules are tuning over)

基于直接扩频通信基础框架，在matlab程序下运行。基于直接扩频通信基础框架，在matlab程序下运行( Basic framework based on direct spread spectrum communication, running under matlab program. Basic framework based on direct spread spectrum communication, running under matlab program.)

说明：  是电力系统的电磁暂态仿真用的EMTP中的免费版ATPDraw，主要是应用于交直流的暂态仿真，这是图形界面版的(this is power system software)

Fourier modal method

说明：  ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理(程序有错误) ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累 ex9_14 计算加性高斯白噪声准则下雷达探测的经典CFAR 二进制检测阈值和指定的虚警概率。 (瑞利噪声下快慢门限CFAR处理)(Ex9_1 pulse signal modulates ex9_2 carrier 10MHz, Linear Frequency Modulation signal of bandwidth 2MHz and its Spectrum Diagram ex9_14 calculation of classical CFAR under additive Gaussian white noise criterion Binary detection threshold and specified false alarm probability. (fast and slow threshold CFAR processing under Riley noise))

说明：  详细介绍了轨道方程，轨道六要素，以及坐标计算方法，包括椭圆轨道面坐标、大地空间直角坐标以及经纬度坐标的计算方法(The orbit equation, the six elements of orbit and the coordinate calculation method are introduced in detail, including the calculation method of elliptical orbit, plane coordinates, geodetic space, rectangular coordinates and longitude and latitude coordinates)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

说明：  基于OFDR的分布光纤传感技术的研究，仿真了OFDT干扰(The distributed optical fiber sensing technology based on OFDR is studied, and the ofdt interference is simulated)