lab2

用Viterbi algorithm筛选经过含白噪声的信息。equalizer为采用Viterbi algorithm，有效减少ISI(码间串扰)，detector为简单的检验器。对比两者的误码率。信息数量为10001bit(using Viterbi algorithm method selecting the data. compared with simple detector. data length are 10001bits. Viterbi algorithm can reduce the affect of ISI （intersymbol interference）)

对于节点的优化编号问题,提出了一种改进最小度算法,使其更方便快速(The number of nodes optimization problem, an improved minimum degree algorithm, making it easier and faster)

基于MATLAB的卫星飞行轨道的分析，供初学着参考学习使用(MATLAB-based analysis of the satellite flight track for beginners learning to use the reference)

目的：SAR雷达在斜视角etha下，雷达回波信号仿真 目标位置 X1(0.75PRT*C/2,Ta*V),X2(0.75PRT*C/2,2.3Ta*V) 修改时间：2013年9月21日 11:30

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

Ecuacion de calor de newton

OFDM的完整仿真，其中仿真了OFDM的波形，有完整的D/A转换，还有详细的解释(Complete OFDM simulation)

游戏“flappy bird”，matlab代码。(Game " flappy bird" , matlab code.)

matlab language study using matlab(matlab study)

用不同的函数求得阈值进行消噪，希望对大家有用(The threshold denoising obtained with the different functions the hope that useful)