dtlbq

LabVIEW的脚本节点允许用户执行外部脚本。具体地讲 ,使用脚本节点可以执行 MATLAB 脚本。由于许多人都曾经开发和使用过 MATLAB 脚本称为 m 文件,本论文将集中讨论使用 MATLAB 脚本节点来执行MATLAB脚本文件,其具体实现过程如下: (Control systems designed by humans are used to extend their physical capabilities,to compensate for their physical limitations,to relieve them of routine or tedious tasks,or to save money.)

eige value problems in math

利用粒子群算法对函数进行优化处理，最终得到收敛效果图(Particle swarm optimization algorithm )

《MATLAB神经网络30个案例分析》中的第23个例子，案例23 小波神经网络的时间序列预测-短时交通流量预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 23 example, 23 cases of wavelet neural network time series forecasting- short-term traffic flow prediction. Hope to have certain help to everybody! )

基于频域插值的sinc插值函数源码，成像方面的可以参考利用。。。(sinc interpolation function source, imaging can reference. . .)

hand off simulation for cellular network

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. )

固高一级倒立摆的4种极点配置方法，可以达到很好的角度和位置控制。(Solid high-level, four kinds of inverted pendulum pole placement method)

this is a matlab code for computing DTW(dynamic time warping) for speech processing applications.

It s easy to get scattering of particle with Mie theory. However, is it possible to get the optical property from experiment scattering spectra? See this inversion Mie theory....