Kalman-Signal-Process-resources

雷达信号处理，主要是讲了LPI方面的内容，基础的代码(Radar signal processing, mainly refer to aspects of the LPI, the code base)

圆卷积与线卷积在FIR中的实现，通过程序还开深刻理解两者间的差别和各自优劣。 1.圆卷积用在被截出的某段数据中，此时，长度应该定为和输入数据长度一致（一般输入数据大于hn的数），这时圆卷积结果相当于某段被截断出来的数据以非截断的方式经过滤波而得出的结果；线卷积用在各自独立的，离散的数据中，若截断数据也用线性卷积来计算，那么就相当与这部分数据是与源数据是独立的， 得出的结果时域两端会变长，但频谱基本上一样的。差别可以想象。 2.注意圆卷积最开始的输入数据的次序，构造矩阵时要注意。(Circular convolution with the line convolution in the FIR implementation, the program also opened a deep understanding of the difference between the two and their respective pros and cons. A circular convolution with cut out a certain period of data At this point, the length should be set for the same length as the input data (typically input data greater than hn the number), when the circular convolution is equivalent to a certain the results of the truncated data to the non-truncated filtered line convolution with a separate, discrete data, truncated data with a linear convolution calculation, then the equivalent of this part of the data is independent of the source data, the results of both ends of the time domain becomes long, but the spectrum is basically the same. The difference can imagine. Note that the order of the circular convolution of the input data to construct matrix.)

matlab serial communication

图像处理MATLAB数字图像处理书籍\(Image Engineering (Volume)- Tsinghua University)

精通matlab6.5,向读者提供色彩信息、动态交互的软件环境，提供读者实践本书内容所需的各种文件。(Is proficient matlab6.5, to provide color information to the reader, dynamic interactive software environment, providing the reader practice the book the various documents required.)

说明：  Here is an AGC code for seismic data

it is a code for create orl data set for face recognition perpose

稀疏表示是压缩感知的基础条件，一篇关于稀疏表示的详细介绍，值得学习。(Sparse representation is a basic condition for compressed sensing, detailed article on sparse representation, it is worth learning.)

Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval

simulation 3d puma 6 dof