meiyou

运用isight软件用ansys分析，省时省事(from isight to ansys)

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. )

This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet(This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m-- forward curvelet transform afdct_usfft.m-- adjoint curvelet transform ifdct_usfft.m-- inverse curvelet transform fdct_usfft_param.m-- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m-- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m-- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m-- display the shape of a curvelet fdct_usfft_demo_recon.m-- partial reconstruction using curvelet fdct_usfft_demo_disp.m-- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m-- image denoising using curvelet)

极速学习机,可以做模型预测、评价，比BP神经网络更优。(Fast learning machine, you can do the model prediction, evaluation, better than BP neural network.)

VERTICAL HANDOFF IN NHETEROGENEOUS WIRELESS NETWORK

在matlab平台下，编程实现矢量数据的显示，简单易懂！(In the matlab platform, programming to realize vector data display, easy to understand)

基于matlab的模糊均值C的聚类程序，可以实现彩色图像的聚类，能实现程序时间统计(Matlab-based fuzzy mean C clustering procedures, can achieve color image clustering, to achieve the program time statistics)

采用模态叠加法和Newmark方法求解悬臂梁的响应，可以直接运行，经验证程序正确(Modal superposition method and Newmark method for solving cantilever response, and can directly run the program properly validated)

try this first to do image segmentation for you. Its very easy to follow.

quadrotor system ID using matlab and simulink