decodeBitFlip

说明：  实现两个指数信号的卷积，通过绘制出两个输入的指数信号的图形进行卷积后的图形说明卷积的作用。(Convolution of two exponential signals to achieve, by drawing out the index of the two input signals after convolution graphics graphic illustration of the role of convolution.)

music算法,首先,根据获得的数据来寻找协方差,确定噪声子空间和信号子空间,谱峰搜索(Music algorithm,first of all,according to receive data to find the covariance, determine the noise subspace and the signal subspace, in searching spectral peak)

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. )

用于对ABAQUS的INP文件进行修改 能够实现基于节点坐标变化的网格的重新划分(ABAQUS is used to modify the INP file to node-based grid coordinates of the re-classification change)

主要是进行控制器参数的优化，里面利用一个(controller pid parament )

说明：  QCldpc编码的基础论文，包含期刊和会议的论文，还挺好的(QCldpc coding in basic academic，Including journal and conference papers, pretty good)

支持向量机算法，可很好的用于分类问题，广发用于人脸识别，步态识别中！(Support vector machine algorithm, can be a good issue for classification, GF for face recognition, gait recognition!)

这提供的MATLAB代码用于提提取基本的音频特征。 (This provides the MATLAB code used to talk briefly to take a basic audio features.)

Dsp Course lec 7 dap with matlab

matlab 中simulink基础，幻灯片格式(matlab in simulink base, slide format)