fwdapplicationstego

Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder

组合算法 Matlab中有函数nchoosek，它是返回全部可能的给合数，本例是一个个地产生组合(Combination algorithm In Matlab function nchoosek, it is possible to return all composite numbers in a matrix, in this case is a combination of one to generate)

正负1隐写matlab实现，虽然简单但很使用(Steganography matlab achieve plus or minus 1)

说明：  本文使用了两种方法优化matlab的程序，缩短了算法的时间。方法1：使用Optimization Toolbox中的并行优化；不需要修改代码。方法2：增加一行代码，即可优化(Improving Optimization Performance with Parallel Computing)

计算粒子流在在反馈下驰誉时间与粒子流的关系(Particle flow in the calculation under the world-class reputation in the feedback relationship between time and the particle flow)

说明：  用于小波滤波器的谱分析，mallat分解法。实现信号的重构(for wavelet spectral analysis, Mallat decomposition. Signal Reconstruction)

这是用matlab编写的常用概率算法,非常有用,欢迎下载哈!(This is commonly prepared using matlab probability algorithm, very useful, welcome to download and Kazakhstan!)

这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。(This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file). Based on MATLAB Optimization Toolbox, the content code contains: Newton and other non-binding one-dimensional extremum problems, such as simplex search method for unconstrained multi-dimensional extremum problems, Rosen gradient projection method and other constrained optimization problems, LM non-linear law least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm.)

说明：  利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。(The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results.)

boost仿真电路，可以更好的了解这一电路的特点，供大家参考(boost circuit simulation, you can better understand the characteristics of this circuit, for your reference)