munteng_v27

levelsetcode 基于matlab实现level set(matlab realize levelsetcode based on level set)

matlab下，用dspbuilder编写的 2psk调制和解调的例程。适合新手学习。(Under matlab, prepared dspbuilder 2psk modulation and demodulation routines. For beginners to learn.)

说明：  做一个K均值聚类和模糊C均值聚类，发现了一些东西(Do a K-means clustering and fuzzy C-means clustering)

This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.

example in computer networks

注水算法是根据某种准则，并根据信道状况对发送功率进行自适应分配，通常是信道状况好的时刻，多分配功率，信道差的时候，少分配功率，从而最大化传输速率。本文运用matlab通过对注水算法在mino系统中的三种不同的情况下进行了仿真，比较出在小信噪比时，相同信噪比下利用CSI的功率注水算法获得容量优于未知CSI的平均功率分配算法；相同容量下已知CSI信噪比比未知CSI时的信噪比小3dB.当信噪比增大到一定程度时，功率注水算法所获得的信道容量将收敛到平均功率分配的信道容量。(Water flooding algorithm is based on certain standards, and according to the channel condition to adaptive allocation of sending power, usually is a good moment, channel situation more distribution power, channel is poor, less power distribution, so as to maximize the transmission rate. This paper USES matlab based on water flooding algorithm in Austin system of three different cases are simulated and compared in small SNR, under the same SNR use CSI power allocation algorithm for capacity is superior to the average power allocation algorithm of unknown CSI Same capacity known CSI signal-to-noise ratio than the unknown CSI small signal-to-noise ratio of 3 db. When the signal-to-noise ratio increases to a certain degree, the power allocation algorithm for channel capacity will converge to the average power distribution channel capacity. )

4.面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序(4 planar array of two-dimensional angle estimation Unitary-ESPRIT algorithm MATLAB program)

Implementation of Cyclostationary Feature Detector for Cognitive Radios

伪谱法优化软件，采用高斯伪谱法，适宜于解算飞行器轨迹优化问题(gopos 5.2)

设有一个随机信号 服从AR(4)过程，它是一宽带过程，参数如下： 我们通过观测方程 来测量该信号， 是方差为1的高斯白噪声，用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 (There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing the signal equation is a Gaussian white noise variance, with the LMS algorithm and RLS algorithm to estimate the observation equation the original signal. This issue with Matlab simulation.)