matlabzhilingji

说明：  the trellis diagram solution

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)

IEEE PAPER FOR ME MTECH STUDENTS COMPUTER SCIENNCE

压缩感知里面的稀疏重建问题，在原来MP的算法的基础上，提出了分块的思想，即将原子库分块后，测试算法的性能。(Compressive sensing is refered as the block sparse algorithm is described,that is based on the original MP algorithm,and the atom libruary is divided into blocks ,and the performance is testified.)

amplitude modulation

通过基本的自相关函数法求解音频信号基音周期(Autocorrelation function for solving Pitch)

classification d image avec l algo FCM

根据地震记录的统计特征和相应假设，本文采用 ARMA 模型描述地震子波，基于 高阶累积量的 ARMA 模型地震子波提取方法不仅可在压制高斯色噪声的同时保留所需 地震信号的相位信息(For the cumulant based ARMA (autoregressive moving average ) model seismic wavelet extraction method could not only retain the pahse information of the seismic wavlet while eliminating the colored Gaussian noise, but also provide a parsimonious, more efficient )

基于mean shift的图像跟踪,在matlab中实现，效果很好(mean shift based video tracking)

The file generate kasammi codes