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统计推断在数模-模数中的应用，利用模拟退火算法找出七个关键点用于曲线拟合。全程序用matlab语言实现。(Statistical Inference in a few modules- module in the application of simulated annealing algorithm to identify the seven key points for curve fitting. Full program with matlab language.)

自己根据MIMO雷达，写的关于定位的程序，很有用(MIMO Radar locate)

带PML吸收边界的2维TM模电磁波在真空中传播的仿真程序(two-dimensional TM EM in free space with PML)

,在强干扰中提取信号,不仅要求有一定的信噪比,而且必须对信号作恒虚警处理.在自动检测系统中,对一定的检测门限来说,当干扰电平增大几分贝,虚警率就会大大增加,致使显示器画面饱和或计算机过载,这时即使有足够大的信噪比,也不可能做出正确的判决.为此在自动检测雷达中,必须具备恒虚警处(, extracting signal in strong interference, not only requires a certain signal-to-noise ratio, and must make constant false alarm processing for signal. In the automatic detection system, for a certain detection threshold, when the noise level increases, a few decibels will greatly increase the false alarm rate, led display screen saturated or computer overload, even if there is enough SNR at this moment, it is impossible to make the right decision. Therefore in the automatic detection of radar, must have a constant false alarm)

WINNER II模型matlab源代码 用于3D-MIMO仿真 包含三实例(WINNER II Model matlab source code for 3D-MIMO simulation Three examples included ;))

针对标准的Capon 波束形成在阵列导向矢量存在误差时出现严重性能退化, 本文从权矢量模约束和不确定集两个角度出发, 提出矢量最优化稳健波束形成方法, 并通过二阶锥规划进行有效求解.(When there exists the array steering vector error , the performance of standard Capon beamforming will be severely degraded .In this paper , in the view of the constraints on the weight vector and the uncertainty sets , we propose a new approach, which is called Vector Optimization Robust Beamforming.It is shown that the proposed algorithm can be reformulated in a convex form as the so-called Second-Order Cone (SOC)program and solved efficiently using the well-established optimization tool , sedumi.)

Computing Fourier Series and Power Spectrum with MATLAB.

图像的反转，灰度线性变换，非线性变换，直方图均衡化，中值滤波，梯度算子检测边缘等，，(The reversal of the image, the gray linear transformation and non-linear transformation, histogram equalization, median filtering, edge detection and so on, the gradient operator, )

基于maglab/simulink平台设计的利用duffing振子检测微弱正弦信号，非常好的一个源程序，自己亲自调试，运行在matlab2012b上没有问题，仿真步长0.01s,采用RK四阶算法。若有问题，欢迎指教(Based maglab/simulink platform using duffing detect weak sinusoidal oscillator signal, a very good source, personally commissioning, operation without problems on matlab2012b, simulation step 0.01s, using the fourth-order RK algorithm. If questions, please advise)

MOPSO算法有详细说明，能够良好运行，出pareto图(MOPSO algorithm is described in detail, able to run well, generate the Pareto Diagram)