AIC

Paper About medical Care systems

第16章 偏微分方程的数值解法.zip。是从书中光盘里直接拷贝的代码，放在这里，与大家共享，共同交流，希望对大家有帮助。(Chapter 16 Numerical Solution of Partial Differential Equations)

通过matlab仿真对多种不同的盲均衡算法收敛性能进行了比较(By matlab simulation for a variety of different blind equalization algorithm compares the performance of convergence)

machine learning 方面有关于Generalization and Bayesian Introduction的资料，语言是python(machine learning aspects of information concerning Generalization and Bayesian Introduction, language is python)

压缩感知算法,基于压缩感知的图像处理和恢复算法。(compressed sensing)

有PMUSIC 校正前和校正后的比较，MIMO OFDM matlab仿真,相控阵天线的方向图（切比雪夫加权）。( A relatively before correction and after correction PMUSIC, MIMO OFDM matlab simulation, Phased array antenna pattern (Chebyshev weights).)

add a splash screen to yor deployed application

Block Matching Algorithms for Motion Estimation This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University. Following is a short description of the m files in this zip motionsEstAnalysis.m Script to execute all Algorithms motionEstES.m Exhaustive Search Algorithm motionEstTSS.m Three Step Search Algorithm motionEstNTSS.m New Three Step Search Algorithm motionEstSESTSS.m Simple And Efficient Search Algorithm motionEst4SS.m Four Step Search Algorithm motionEstDS.m Diamond Search Algorithm motionEstARPSm Adaptive Root Pattern Search Algorithm costFuncMAD.m Mean Absolute Difference Function minCost.m minimum cost among macro blocks motionComp.m motion compensated image creator imgPSNR.m finds image PSNR w.r.t. reference image The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip

该代码可用于拟合纤维长度分布函数，可将长度分布的直方图拟合成一条连续的曲线(This code can be used for fitting the fiber length distribution function, it can change the length distribution histogram into a continuous curve.)

This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) process and represented in the state-space domain.(This paper deals with the problem of speech enhancement when a corrupted speech signal wit h an additive colored noise is the only informat ion available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) process and represented in th e state-space domain.)