iplex

完成智能天线系统的仿真，可以任意输入信噪比，相位差等(Smart Antenna System to complete the simulation, can be input SNR, phase, etc.)

认知无线电中非合作博弈功率控制中的K-G算法(Cognitive Radio China-Africa Cooperation in KG games power control algorithm)

求解非线性方程组的拟牛顿法（逆broyden秩1方法）之matlab程序，采用符号运算，直接输入含参数的方程组即可。(Solving nonlinear equations of quasi-Newton method (inverse method broyden rank 1) of the matlab program, using symbolic computation, the direct input of equations with a parameter can be.)

全相位FFT算法的MATLAB程序,通过一实例仿真实现(fft phase algorithm)

The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection probability and false alarm rates, (i.e. PD versus PFA), thus allowing the determination of an optimal threshold. To illustrate the performance of energy detectors, we generate complementary ROC curves (the average probability of miss detection $ P_{md} 1 - P_d$ versus the false alarm probability $P_f$ for different receiver structures and in different fading environments.Fig. 1 illustrates the complementary ROC curves for a single channel reception (no diversity) over AWGN channels. This figure depicts the complementary ROC curves for energy detectors.

雷达测距，利用回传波形测量距离，方便，快捷(Radar range, using the the return waveform measurement distance, convenient, fast)

利用自然梯度算法，ML法能够很好的估计信号的信噪比,考虑雨衰 阴影 和多径影响。( Use of natural gradient algorithm, ML estimation method can be a good signal to noise ratio, Consider shadow rain attenuation and multipath effect.)

用matlab实现的图像匹配，配有目标图片和程序说明(Implemented with the image matching matlab, with a target picture and description of the procedures)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

图像的加噪，如高斯噪声，椒盐噪声，乘性噪声等。均匀模板，加权模板，平滑去噪，中值滤波(Add image noise, such as Gaussian noise, impulse noise, multiplicative noise. Uniform template, weighted template, denoising smoothing, median filtering)