SAPSO_SecPSO_SecVibratPSO

1. 对给定语料估计其基音周期。 要求用MATLAB语言实现有关基音检测算法，并给出检测结果。2. 实验语料：aoYiSheng.raw 发音：“茅以升”；时长0.9s；采样率：8kHz；量化精度为16bits/sample；数据格式 LSB,MSB分析帧长:20ms(160样点)总帧数：45(1. Corpus right to set its estimated Pitch. Asked to use MATLAB the pitch detection algorithm, and gives results. 2. Experimental corpus : aoYiSheng.raw pronunciation : "Mao Yisheng"; Time-0.9s; Sampling rate : gunfire; 16bits/sample accuracy of quantification; LSB data format, MSB analysis frame size : 20ms (160 samples) total frame count : 45)

伯努利方程，试验过的，适合初学者学习，非常有用(Bernoulli equation, tested, is suitable for beginners to learn, and very useful)

这是一个自适应滤波的matlab源程序，已经通过调试，可以直接看图(This is an adaptive filtering matlab source, has been through the debugging, you can directly Figure)

gmsk modulation of numerical data generated by a random source, the output of the modulator give two signals, the first is gmsk signal and the other is gaussien frequency pulse shape

使用matlab对qpsk调制进行仿真，得到在高斯白噪声信道和瑞利信道的误码率以及解调后的星座图 (matlab qpsk)

关于matlab学习的PPT，里面介绍了matlab的一些基本知识，对于初学者非常有用。(PPT on matlab learning, which introduced some basic knowledge of matlab is very useful for beginners. )

提出了一种基于人类视觉系统和模糊隶属度函数的小波卫星图像融合新算法,利用小波域的人类视觉系 统经验模型,刻画图像的边缘、纹理及高亮区域, 采用模糊隶属度函数自适应地计算权系数, 在小波域上通过加权 平均实现了图像融合。(Proposed a new algorithm based on human visual system and the fuzzy membership function of the wavelet satellite image fusion using wavelet domain experience in the human visual system model, depicting the image of the edge, texture, and the highlighted area, the use of fuzzy membership function adaptively calculate the weight coefficients in the wavelet domain by the weighted average realized fusion.)

滤波器实现脉冲对消的多重MTI系统，非常简单的方法(Filter multi-pulse MTI system of elimination)

parrot ar.drone 安卓平台控制代码(parrot ar.drone for android)

一种自适应滤波算法，可进行lms和rls算法学习和实现(An adaptive filtering algorithm, LMS and RLS algorithms can be learning and implementation )