一个基于神经网络的人脸识别测试源程序

Matlab 在电信工程中的应用，很有用的，超星格式(Matlab in telecommunications engineering, very useful, Superstar format)

本例程为改进的LMS算法NLMS算法的MATLAB实现和其收敛性的验证程序(This routine is improved LMS algorithm NLMS algorithm in MATLAB and its convergence verification procedures)

给出接收信号眼图及系统仿真误码率，基于多相结构的信道化接收机，旋转机械二维全息谱计算，用于建立主成分分析模型，单径或多径瑞利衰落信道仿真，LZ复杂度反映的是一个时间序列中。

说明：  为了提高认知无线电中感知用户对授权用户(主用户) 的检测概率,提出一种新的基于循环 谱统计量的主用户信号检测算法. 该算法利用循环谱离散频域平滑方法,对信号的循环谱在循环频 率处建立合理的检测统计量,然后求解得到对应不同虚警概率的判决门限,以使感知用户能检测信 噪比更低的授权用户信号.(To increase the detection probability of sensing users for licenced users (primary signals) in the cognitive radio , it put s forward a new primary users signal method based on cyclic spect rum statis2 tics. By using discrete f requency smoothing of cyclic spect rum , this algorithm establishes the reason2 able detection statistics on the cyclic f requency of signal cyclic spect rum , then solves and obtains the decision threshold correspond to different false alarm probability , as a result , making the sensing users can detect licenced users signal under lower signal in noise ratio (SNR) .)

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Maximum Likelihood equalization

关于自适应控制，经过仿真证明可以用，而且比较准确，值得一看。(it is good )

基于调和平均数方法分析瑞利信道多点两跳中继合作分集性能(Based on Harmonic Analysis of the average Rayleigh channel multi-point two-hop relay cooperative diversity performance)

java与matlab编程的例题。想要做类似工程项目的人员可以参考哦。(java and matlab programming examples. Want to do similar projects can reference Oh.)

本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割( in this test program, we calculate the cumulative histogram in a local window centered at each pixel,this local cumulative histogram can be used to drive the level set for image and texture segmentation. Author: Associate Prof. Yuanquan Wang, Affiliation: Tianjin Key Lab of Intelligent Computing and Novel Software Technology, School of Computer Science, Tianjin University of Technology, Tianjin 300191, China 01/20/2008 Reference: 1. Tony Chan, Selim Esedoglu, and Kangyu Ni, Histogram Based Segmentation Using Wasserstein Distances, SSVM 2007, LNCS 4485, pp. 697–708, 2007. 2. Kangyu Ni, Xavier Bresson, Tony Chan, Selim Esedog, Local Histogram based Segmentation using the Wasserstein Distance, at: www.math.lsa.umich.edu/~esedoglu/Papers_Preprints/chan_esedoglu_ni.pdf or at :ftp://ftp.math.ucla.edu/pub/camreport/cam08-47.pdf )