logbptest

使用matlab写得空间温度场程序，算法是高斯-塞德尔迭代法。(Room temperature using the matlab program is written, the algorithm is the Gauss- Seidel iterative method.)

免疫算法的matlab代码，应该比较好用，谢谢支持！(immune algorithm Matlab code, it should be more convenient, thank you support!)

FWM power for various wavelenght separations

manual implementation of cognitive radio

关于距离的求解，涉及到很多方面，内容全。(About distance solution, involves many aspects, the content is complete.)

针对NL-Mreans算法运算时间较长的问题，提出了优化，大大缩短了时间。(To solve the problem of long operation time of NL-Means algorithm, an optimization method is proposed, which greatly shortens the time.)

Regularization Tools: A MATLAB package for Analysis and Solution of Discrete Ill-Posed Problems. Version 4.1. By means of the routines in this package, the user can experiment with different regularization strategies. The package also includes 12 test problems.

运用Matlab语言编程，进行信号分析的能力。音频信号是一种连续变化的模拟信号，计算机只能处理和记录二进制的数字信号，由自然音源而得的音频信号必须经过采样，量化和编码，变成二进制数据后才能送到计算机进行再编辑和存贮，通过本实验中了解模拟信号采样和重构的完整过程，加深对采样定理的理解。(Matlab programming language to use for signal analysis. Audio signal is a continuous change of the analog signal, the computer can only handle and record the binary digital signal, derived from natural sources of the audio signal to be sampled, quantification and encoding binary data into a computer in order to re- editing and storage, through this experiment to understand the analog signal sampling and reconstruction of the full process, to deepen understanding of the sampling theorem.)

最优化计算一书中线性优化问题源代码，已通过测试，可直接运行！(Optimization calculation of the book, a linear optimization problem source code has been tested, can be run directly.)

拉普拉斯映射的基本思想是在高维空间中离得 很近的点投影到低维空间中的像也应该离得很近,最终求解归结到图拉普拉斯算子的广义特征值问题,本例为拉普拉斯调用函数,对于学习维数约简的同学或许有帮助.(The basic idea is the Laplace mapping from very near the point of projection in the high-dimensional space as low-dimensional space should be very close, and ultimately solving the generalized eigenvalue comes down to Figure Laplace operator problem, in this case call the function for the Laplace, the learning of students of dimensionality reduction may be helpful.)