BPtrainlmtrainbr

matlab的数学手册，很实用的一本书，pdf文件(matlab math manual,good book)

stanford大学vgg组著名的多视几何matlab工具箱vgg，包含特征点匹配、几何校正等(stanford university vgg group famous multi-view geometry vgg matlab toolbox, including a feature point matching, geometric correction, etc.)

Signal processing in Matlab - basics(Signal processing in Matlab- basics)

ofdm系统仿真用QAM调制的，有信号传输后的频谱图(ofdm simulation using QAM modulation)

kalman滤波器的Matlab验证，以及迭代算法的实现(kalman filter Matlab validation, and iterative algorithm)

计算离散时间信号间卷积和，并确定卷积信号的起止时刻点 信号处理卷积例程(convolution routine for signal processing % -------------------------------------------------- % [y,ny] = conv_m(x,nx,h,nh) % y = convolution result % ny = support of y % x = first signal on support nx % nx = support of x % h = second signal on support nh % nh = support of h)

该程序是将摄像机旋转矩阵反求得到欧拉角过程，算法简单，容易操作。(The program is to get the camera rotation matrix Euler angle reverse the process, the algorithm is simple, easy to operate.)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

hht轉換,Hilbert-Huang (HHT) 轉換方法是黃鍔根據近代知名數. 學家Hilbert 的數學理論設計(hht transform)

Design of low density parity check codes for modulation and detection