newton

蚁群聚类算法，很有用的优化算法程序。希望对大家有用。(Ant colony clustering algorithm, a useful optimization process. Want to be useful to everyone.)

利用MATLAB中的小波信号对语音信号的基音提取(The use of MATLAB Wavelet signal for pitch extraction of speech signals)

说明：  Matlab数值计算，回归分析，多元线性回归，Matlab统计工具箱的使用(Matlab numerical calculation, regression analysis, multivariate linear regression, statistical Matlab Toolbox use)

这个是本人编写的构建16QAM的源代码，详细阐述了里面construction 调整解调。这是个完整的程序并且可以运行(I am writing this is to build the source code for 16QAM, which details the construction adjustment demodulation. This is a complete program and can run)

一个基于矩阵分布的改进型蚁群算法（ACO），可用于矩形区域分布的孔加工路径规划(A matrix based on the distribution of improved ant colony algorithm (ACO), can be used for regional distribution of hole machining rectangular path planning)

用MATLA实现机器学习中的批处理梯度下降法和随机梯度下降法(Batch gradient descent method and stochastic gradient descent method in machine learning using MATLA)

用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 wPqmRn函数、短时幅度差、倒谱、复倒谱 bAflVNH系数计等，是我多年调试通过的程序 (MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,wPqmRn function, short-term amplitude difference, cepstrum, cepstral bAflVNH coefficient meter, etc. , is a program debugging through my years of )

MLP in neural nethwork

GABOR 滤波器的实现方法的MATLAB源程序实现。实现方法比较简单，适合初学者学习。(Implementation of GABOR filter MATLAB source implementation. Implementation is relatively simple, suitable for beginners to learn.)

When doing optimization, GA algorithm was initially selected, but the instability of the GA (or local optimization) is really frustrating, before and after the resulting difference can at times reach more than 30 , at that time due to time reasons, I chose to optimize 1000 times, then the minimum value of the most optimal solution. Although the problems are solved, but an academic, this style of running is pretty embarrassing. So, I downloaded a GA-PSO algorithm, try using the combination of GA and PSO optimizing strategies, results algorithm issues, efficiency and good. I downloaded the original algorithm, there is a problem is that it is aimed at all upper and lower limits of the design variables are the same, so I modified the program and improvements, you can now deal with upper and lower limits of the inconsistency problem and fix the bug. Now, program modifications, and share, hoping to be useful to you