work3

这个程序再matlab2012b版本上调试成功，以前在毕业设计的时候在网上找到的资料，希望对大家有用，基于线性预测系数(LPC)的语音信号重构。给出了完整的LPC matlab程序，包括语音信号采集，LP预测系数，阶数的选择以及预测结果误差曲线。（很好用）(This version of the program and then on the successful commissioning matlab2012b information previously graduation when found online, we want to be useful, based on linear prediction coefficient (LPC) voice signal reconstruction. Given a complete LPC matlab procedures, including voice signal acquisition, LP prediction coefficients, select the order and the prediction error curve. (Well used))

四元数法实现对卫星姿态的判断，四元数法实现对卫星姿态的判断，四元数法实现对卫星姿态的判断(Quaternion method on the judgment of the satellite attitude quaternion method to achieve a judgment of the satellite attitude, the quaternion method on the judgment of the satellite attitude )

cyclostationary detection

设计自适应控制器，使系统输出跟踪阶跃函数 ,很有用(Design of adaptive controller, the system output tracking step function, very useful)

this is a matlab code of the method of visual cryptography based in the shadows method of Visual Cryptography, Moni Naor, Adi Shamir.

高分辨率雷达 距离向压缩算法滤波器设计 三种方法 全面设计(clc clear all close all 2013年9月28日 ---------------参数---------- Tr=42e-6 fs=9.5e6 K=0.7e11 Nfft=2048 -------------匹配滤波 时域生成-------------- t=(-Tr/2+1/fs:1/fs:Tr/2-1/fs) w = kaiser(length(t),2.5) w=w w = ones(1,length(t)) ht1=w.*exp(-1i*pi*K*t.^2) ht2=w.*exp(1i*pi*K*t.^2) hf1=fft(ht1,Nfft) hf2=fft(ht2,Nfft) figure subplot(211) plot(abs(hf1)) title( 匹配滤波器1 幅频响应 ) subplot(212) plot(phase(hf1)) title( 匹配滤波器1 相位 ) figure subplot(211) plot(abs(hf2)) title( 匹配滤波器2 幅频响应 ) )

ofdma_data_mapping,simulating the MAC layer of the ofdma system

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

heat equation matlab file

音频信号处理，实现自适应语音盲分离，输入两个信道的互相关音频信号，能互相分离出原始语音(Audio signal processing, adaptive voice separation, two channels of input audio signal cross-correlation, the original speech can be isolated each other)