cljs

2012和2013年关于北京天气统计用于功率负载等分析(related content u know)

matlab codes for econometrics

参数敏感性分析的计算包，能够在matlab中计算后得到参数的计算区间。(Computing package parameter sensitivity analysis, the latter is able to calculate the interval is calculated in matlab get parameters.)

主成分分析和偏最小二乘SquaresPrincipal成分分析（ PCA ）和偏最小二乘（ PLS ） ，广泛应用于工具。此代码是为了显示他们的关系，通过非线性迭代偏最小二乘（ NIPALS ）算法。 (Principal Component Analysis and Partial Least SquaresPrincipal Component Analysis (PCA) and Partial Least Squares (PLS) are widely used tools. This code is to show their relationship through the Nonlinear Iterative PArtial Least Squares (NIPALS) algorithm. )

STP问题求解采用优化算法，Matlab实现(STP optimize algorithm)

这几个文件里面包含了自己编写的一些matlab函数代码，使用时只要将其加入到路径下就可以使用，可使用help指令看说明(Several files containing matlab function to write your own code, when used as long as it is added to the path, you can use, you can use the help command to see a description of)

结构动力学有限元计算，基于MATLAB模态频响分析方法(frequency response analysis)

this is a code in background subtraction

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. )

wavelet based image fusion using adaptive decomposition