RBNmFiles_10062007

matlab 6.1 sample file

当a和b同时对着传声器A,B说话且传声器靠得很近时，传声器A,B会同时接受到a和b的声音，即a和b产生了混叠干扰，此时通过自适应语音盲分离系统可以将a,b的声音分离开，使得一个信道只有一个人的声音。 具体过程是，利用自适应系统和nlms算法，A和B的误差信号分别互为参考信号，通过各自的自适应滤波器，得到的信号与混叠声做差，得到误差信号，通过误差信号最小的约束条件，可以每次改变滤波器系数，最后得到的误差信号即分别为分离出的语音信号

lecture series of matlab

最大似然估计算法Matlab实现，不容易啊！！！！！！！！！！(Maximum likelihood estimate，not so esay！！！！！！！！！！)

这个是隐markov模型中viterbi算法实现的一个具体实例程序 很好-This is a hidden markov models Viterbi Algorithm in a specific example of good procedures

关于MATLAB线性规划的程序,给大家分享一下,希望大家多多指导.(on MATLAB linear planning process, to share with you, I hope Members can guide.)

基于matlab的memetic算法源代码，用于求解函数的极值，用于优化算法，供参考(Matlab-based memetic algorithm source code for solving the extremum of the function used to optimize the algorithm for reference)

this file is about devloping a apllication for automatic number plate recognition

The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

以高斯函数为载波的PPM调制解调，及于理想误码率曲线相比较的误码率曲线(Gaussian function of PPM modulation and demodulation of the carrier, and the desired BER curves compared to BER curves)