ExtendedPKalmanPFilter

16 点qam的调制解调simulink 文件(the modulation and demodule of QAM in simulink)

用Remez算法设计一个低通滤波器；设计一个5路5:1多相减采样滤波器和一个4路1:4多相增采样滤波器。(Remez algorithm with a low-pass filter designed by a 5-way multi-phase sampling filter and 5:1 4 1:4 a multi-phase sampling filter increases.)

1.产生正弦信号，方波信号，均匀噪声； 2.信号的叠加； 3.信号的相关分析； 4.信号的卷积； 5.信号的和； 6.信号的频谱图。(1. Generate sine signal, square wave signals, uniform noise 2. Signal superposition 3. The signal correlation analysis 4. The convolution of signal 5. The sum of signal 6. The signal spectrum.)

模式向量维数太大，无法进行模式识别,降维 (k-l)

用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。(Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation.)

matlab code mobile communications

Matlab简明实例教程，数值计算、矩阵计算、函数编程等基础内容(how to start with matlab2010 in numerical calculation, matrix calculation, functional programming and so on.)

1. 按照式计算相似性矩阵 2. 排除自身的相似度 3. 按照式计算归一化矩阵 4. 按照式计算归一化拉普拉斯图矩阵L 5. 计算L的特征向量，将前个特征值最大的向量按列放置成一个矩阵，即依次为前个特征值最大的特征向量 6. 归一化X形成矩阵Y 7. 对矩阵Y按每行为一个数据点，进行k-means聚类，第行所属的类就是原来所属的类。(1. similarity matrix based on formula computation 2. rule out your own similarity. 3. normalized matrix based on formula computation 4. normalized formula Laplasse matrix L according to formula. 5. Calculate the eigenvectors of L. Place the vectors with the largest eigenvalues in columns into a matrix, that is, the eigenvectors with the largest eigenvalues in turn. 6. normalized X formation matrix Y 7. K-means clustering is applied to matrix Y according to one data point per behavior. The first row belongs to the original class.)

说明：  一个连接数据库的差别矩阵matlab源代码，我自己做的，希望对大家有帮助。(Connect to the database of the difference between a matrix matlab source code, I do want to help everyone.)

通过学习BP神经网络技术，对手写数字进行识别，基于结构的识别法及模板匹配法来提高识别率。(Through the study of BP neural network technology, digital handwriting identification, structure-based identification method and template matching method to improve the recognition rate.)