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MahNMF Manhattan Non-negative Matrix Factorization code % Manhattan Non-negative Matrix Factorization. % ManhNMF: Matlab Code for Efficient Robust Manhattan NMF Solver % Reference % [1] N. Guan, D. Tao, Z. Luo, and J. Shawe-taylor, "MahNMF: Manhattan % Non-negative Matrix Factorization," arXiv:1207.3438v1, 2012. % [2] N. Guan, D. Tao, Z. Luo, and J. Shawe-taylor, "MahNMF: Manhattan % Non-negative Matrix Factorization," Submitted to Journal of Machine Learning Research, 2013. % The model is X \approx W^TH, where X, W, and H are defined as follows: % X (m x n): data matrix including n samples in m-dimensional space; % W (r x m): basis matrix including r bases in m-dimensional space; % H (r x n): coefficients matrix includeing n encodings in r-dimensional space. % Written by Naiyang Guan (ny.guan@gmail.com) % Copyright 2012-2014 by Naiyang Guan and Dacheng Tao % Modified at Jan. 28 2013 % % X : Input data matrix (m x n) % r : Target low-rank % % (Below are optional arguments: can be set by providing name-value pairs) % MAX_ITER : Maximum number of iterations. Default is 1,000. % MIN_ITER : Minimum number of iterations. Default is 10. % MAX_TIME : Maximum amount of time in seconds. Default is 100,000. % W_INIT : (m x r) initial value for W. % H_INIT : (r x n) initial value for H. % LAM_INIT : initial value of smoothness parameter. Default is 1. % MDL_TYPE : Model type (Default is 'PLAIN'), % 'PLAIN' - MahNMF (min{||X-W^T*H||_1,s.t.,W >= 0 and H >= 0}.), % 'BXC' - Box Constrained MahNMF (min{||X-W^T*H||_1,s.t.,1 >= W >= 0 and 1 >= H >= 0}.), % 'MNR' - Manifold Regularized MahNMF % (min{||X-W^T*H||_1+.5*beta*TR(H*Lp*H^T),s.t.,W >= 0 and H >= 0}.), % 'GSP' - Group Sparse MahNMF % (min{||X-W^T*H||_1+.5*beta*\sum_{g\in G}||W^[g]||_{1,p},s.t.,W >= 0 and H >= 0}.), % 'SYM' - Symmetric MahNMF (min{||X-H*H^T||_1,s.t., H >= 0}.). % ALG_TYPE : Algorithm type (Default is 'AGD'), % 'AGD' - Accelerated Gradient Descent, % 'RRI' - Rank-one Residue Iteration. % BETA : Tradeoff parameter over regularization term. Default is 1e-3. % SIM_MTX : Similarity matrix constructed by 'constructW'. % GPP_MTX : Group pattern for boundary of all groups. % TOL_INNR : Stopping tolerance of inner iterations. Default is 1e-2. % TOL_OUTR : Stopping tolerance of outer iterations. Default is 1e-3. % If you want to obtain a more accurate solution, decrease TOL_INNR or TOL_OUTR and increase MAX_ITER at the same time. % VB_OUTR : 0 (default) - No debugging information is collected. % 1 (debugging purpose) - History of computation is returned by 'HIS' variable. % 2 (debugging purpose) - History of computation is additionally printed on screen. % VB_INNR : 0 (default) - No debugging information is collected. % 1 (debugging purpose) - History of computation is returned by 'HIS' variable. % 2 (debugging purpose) - History of computation is additionally printed on screen. % % W : Obtained basis matrix (r x m). % H : Obtained coefficients matrix (r x n). % iter : Number of iterations. % elapse : CPU time in seconds. % HIS : (debugging purpose) History of computation, % niter - total iteration number spent for Nesterov's optimal % gradient method, % cpus - CPU seconds at iteration rounds, % objf - objective function values at iteration rounds, % dlta - stopping criteria of block coordinate descent. % % % >>X=rand(1000,500); % >>ManhNMF(X,10); % >>ManhNMF(X,20,'verbose',1); % >>ManhNMF(X,30,'verbose',2,'w_init',rand(r,m)); % >>ManhNMF(X,5,'verbose',2,'tol_outr',1e-5); % Note: other files 'GetStopCriterion.m', 'ApproxFunC.m', and 'wmedianf.mexw32' should be included under the same % directory as this code.

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常规的无线通信系统具有许多缺点，例如抗干扰能力差，抗干扰和抗多径性能差。 本文提出了一种基于FPGA的时跳频扩频系统设计。 在发送信息码时，使用伪随机码来控制通断开关以跳跃顺序发送存储的信息数据，并在发送端实现跳跃的时间顺序。 在接收机中，使用本地伪随机序列控制本地通断开关，以在捕获同步信号并恢复原始信息数据后实现对调制数据的求解。 在Alteral公司的QuartusⅡ软件中采用了Verilog HDL和原理图方法来设计电路。设计系统在FPGA上实现。

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游戏程序设计 java游戏程序设计 本书通过目前流行的高级编程语言――Java语言来介绍游戏程序设计的相关知识，并通过案例讲解的方式由浅入深地介绍游戏设计各个环节的基本理论和方法。

一种基于ESPRIT的方法，用于大规模MIMO-sy系统中不连续分布的源的2D定位 这是关于“基于ESPRIT的方法在大规模MIMO系统中非相干分布源的二维定位”的论文和代码。 推荐引文：'A。 Hu，T。Lv，H。Gao等，“基于ESPRIT的方法，用于大规模MIMO系统中非相干分布源的二维定位”，IEEE J. Select。 主题信号处理，第一卷。 8号2014年10月，第5页，第996-1011页。”