FAST-AUTOCORELATION

Impulse noise Generation

自己设计的新型FFT算法，用MATLAB仿真通过，绝对好用的源码。可以发论文。包括了FFT经典算法和改进算法的c实现(Designed a new type of FFT algorithm, through the use of MATLAB simulation, the source is absolutely easy to use. Papers can be made. Includes the classic FFT algorithm and improved algorithm for the realization of c)

BPSK信号的仿真，解调，仿真结果误码率计算(BPSK signal simulation, demodulation, bit error rate simulation results)

说明：  这是一个关于图像轮廓提取的matlab源码程序！！我认为还不错哦！！请大家试试看啊！！谢谢大家的大力的支持与大理的关注(This is the outline of an image on the extraction procedure Matlab source! ! I think it is good oh! ! Please try ah! ! Thank you for the strong support and Dali attention! !)

初学最大流最小割的几个很有用的参考资料，详细介绍了它的应用，很有帮助哦！(Maximum flow minimum cut beginner several useful references, details of its application, very helpful Oh!)

自适应步长的Runge-Kutta-Fehlberg法解初问题常微分刚性方程组(Adaptive step size Runge-Kutta-Fehlberg method for solving initial problem of ordinary differential equations)

Blowfish Algorithm is a Feistel Network, iterating a simple encryption function 16 times. The block size is 64 bits, and the key can be any length up to 448 bits. Although there is a complex initialization phase required before any encryption can take place, the actual encryption of data is very efficient on large microprocessors. Blowfish is a variable-length key block cipher. It is suitable for applications where the key does not change often, like a communications link or an automatic file encryptor. It is significantly faster than most encryption algorithms when implemented on 32-bit microprocessors with large data caches.

基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计(Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA)

数学建模中应用matlab编程，有部分相关的源代码(The application of mathematical modeling matlab programming, some source code related to)

matlab神经网络43个案例分析源码11，关于连续Hopfield神经网络的优化—旅行商问题优化计算 (matlab neural network source code 11 43 case studies, optimization on a continuous Hopfield neural network- the traveling salesman problem optimization)