MCMC

matlab simulink tutorial.

一维到二维的转换，实现二进制的转换，并且可以实现以为到二维的转换，效果请执教(a dimension to the two-dimensional and realized binary conversion, and can be thought of the two-dimensional realization of the conversion, the effect please teach)

近场声源定位TDOA的MATLAB仿真，采用传统的相关算法CC和广义相关算法中的相位转换算法GCC_PHAT(Sound localization of MATLAB simulation, using the traditional algorithms of CC and phase transformation algorithm of generalized correlation algorithm GCC PHAT)

说明：  经典控制算法--空间矢量控制模型（已经验证通过）(Space Vector Control)

DblGEGA 用双切点遗传优化求解一维无约束优化问题 (DblGEGA with double tangent point genetic optimization one-dimensional unconstrained optimization problems)

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

wavelet analysis，超级简单超级直观。一看就会了。(wavelet analysis, super simple and super-intuitive. Will be the one to see.)

说明：  基于能量差分的ofdm帧同步算法matlab程序，可以运行(OFDM frame synchronization based on energy difference of the received preamble，can run)

计算MSE和PSNR的小程序，自己写的，比较简单实用(MSE and PSNR calculation of small programs, to write their own, relatively simple and practical)

Keller box algorithm and equations for Boundary layer theory problems. For calculating the boundary layer thickness and the velocity profile in a free stream in a pipe.