DCT

通过极坐标变换获得图像的中心投影曲线，然后利用傅里叶变换获得图像的不变特征，从而实现对发生形变的物体的识别。(Polar coordinates to obtain the image through the center of projection curve, and then Fourier transform to obtain images of the same features, enabling the identification of objects deformation occurred.)

基于Matlab的电磁波极化仿真。实际教学和学习中会遇到电磁极化问题，本文中给出了Matlab程序的设计，有需要的同学可以下载一下，仔细研读。(Matlab simulation based on the polarization of electromagnetic waves. Actual teaching and learning experience electromagnetic polarization problem, this paper gives the design Matlab program, students may need to download it, carefully read.)

数字信号处理及MATLAB实现__第二版__学习辅导与习题详解_余成波，杨菁，杨如民主编_清华大学出版社_2010.07_(Digital signal processing and MATLAB to achieve the second edition __ __ _ Detailed study counseling and exercise Yucheng Bo, Yang Jing, Yang Rumin editor _ Tsinghua University Press _2010.07_)

Transform two case , the one case 1 is Fourier the 8X8 size and then use the mask to clear the high fitter . the second case 2 is cosine the 8X8 size and then use the mask to clear the high fitter .

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

利用matlab进行QAM的误码率仿真。利用ofdm技术。(Using matlab QAM BER simulation. Use ofdm technology.)

一个关于数学建模的资料,是纽约大学的程序和文档(On mathematical modeling of the data, New York University)

实现了小小去噪，与其他去噪方法相比取得了良好的效果(denoising based on wavelet)

低通抽样定理程序有课程设计的有需求的自己(Low-pass sampling theorem of the curriculum design process there is a demand of their own)

最新经典EMD分解程序，及Hilbert变换程序。由美国人编写，是做HHT变换进行信号分析处理的最佳参考，由本人做详细注释，方便大家理解程序。 (latest classic EMD decomposition processes and procedures Hilbert transform. Prepared by the Americans, and are HHT transform signal analysis and processing of the best reference.)