p-0758--Telephone-Billing-System

利用帧差法实现视频中的物体检测，只能跑图片，须将视频转(Object detection based on frame difference.)

可以进行经验模式分解的matlabd源程序(Empirical mode decomposition can be the source matlabd)

非线性模式分析模型，很好用，是我的毕业设计，通过验证(he nonlinear model analysis model, very good with, is my graduation design, through the verification )

随机产生二进制序列，进行128QAM调制，画出星座图，通过加性高斯白噪声的信道，再画星座图，并计算误比特率。(128QAM modulate with MATLAB)

基于kalman滤波的最小二乘法的matlab程序，仅供参考(Kalman filter based on least squares matlab program for reference only)

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

基于matlab生成的ask、fsk、psk波形及功率谱密度(Based the matlab generated the ask fsk, psk waveform and power spectral density)

好好学习下哈 4个偶极子天线阵的辐射场图 学习啊 (learn Kazakhstan under four dipole antenna radiation field of study plans ah)

在传统声压传感器阵列的求根MUSIC算法的基础上,提出了基于矢量传感器阵列的求根MUSIC算法及其修正形式,通过接收阵列信号的空间谱,选择合适的引导方位,可实现声源的波达方向(Based on root MUSIC algorithm on the traditional pressure sensor array, the root MUSIC algorithm for vector sensor array and its modified form based on, through the receiving array signal spatial spectrum, select the appropriate lead angle, direction of arrival can realize the sound source)

说明：  利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域(Using computer simulation operations, the problem-solving process is transformed into a process similar to the crossover and mutation of chromosomal genes in biological evolution. When solving more complex combinatorial optimization problems, compared with some conventional optimization algorithms, better optimization results can usually be obtained faster. Genetic algorithm has been widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life)