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有关交互多模型matlab实现算法，仿真场景可以自己设计(Related to interactive multi-model algorithm matlab, simulation scenarios can be designed)

说明：  基于最大信噪比的ICA算法，在盲信号分离中用处比较大(ICA algorithm based on maximum signal to noise ratio, useful in blind signal separation in the larger)

该程序能够实现小球的运动，且小球运动角速度可调，单击【开始】，小球开始运动。(The program is able to achieve a small movement of the ball and ball movement angular velocity is adjustable, click [Start], the ball starts to move.)

恒虚预警处理的各种性能指标，在杂波边缘，多目标环境的选择上比较(Various performance indicators constant false alarm processing in clutter edge, more choice and more on target environment)

simulation to verify efficiency of Convolutional Coding

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

SAR signal processing

2PSK和 2DPSK信号的调制与解调性能比较分析(Comparative analysis of modulation and demodulation performance and 2DPSK signal 2PSK)

夫琅禾费衍射的几个程序，有单缝衍射，多缝衍射，和矩孔的衍射。(Fraunhofer diffraction of several procedures, single-slit diffraction, multi-slit diffraction, diffraction and the moment the hole.)

用Matlab实现人脸检测的功能，程序正确，可以运行，包含测试图片(Face detection using Matlab functions implement the program correctly, you can run, including the test images)