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1、 数字信号调制与解调的原理和基本方式 2、 基于simulink的数字信号调制与解调的仿真 3、 MATLAB中GUI图形界面设计及M文件编程 4、 基于MATLAB的数字调制与解调演示系统的生成 (1, digital signal modulation and demodulation principle and basic method 2, based on simulink digital signal modulation and demodulation of simulation 3, MATLAB in GUI graphical interface design and programming M document 4, the MATLAB-based digital modulation and demodulation demo System generated)

FSK的MATLAB系统仿真程序,可以输出误码率与信噪比的关系图(simulation of fsk by matlab)

说明：  用有限差分法求解电机槽电磁场的经典案例，对象为一个闭口槽，激励源为电流密度(Motor using the finite difference method to solve a classic case of slot fields)

OCO: OPTIMIZED COMMUNICATION AND ORGANIZING FOR TARGET TRACKING IN WIRELESS SENSOR NETWORK

用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation function [sys,x0,str,ts]=s_function(t,x,u,flag) switch flag, Initialization case 0, [sys,x0,str,ts]=mdlInitializeSizes Outputs case 3, sys=mdlOutputs(t,x,u) Unhandled flags case {2, 4, 9 } sys = [] Unexpected flags otherwise error([ Unhandled flag = ,num2str(flag)]) end mdlInitializeSizes function [sys,x0,str,ts]=mdlInitializeSizes sizes = simsizes sizes.NumContStates = 0 sizes.NumDiscStates = 0 sizes.NumOutputs = 3 sizes.NumInputs = 1 sizes.DirFeedthrough = 1 sizes.NumSampleTimes = 0 sys=simsizes(sizes) x0=[] str=[] ts=[] function sys=mdlOutputs(t,x,u) x11d=sin(pi*t/2) x21d=cos(pi*t) x31d=1 sys(1)=x11d sys(2)=x21d sys(3)=x31d )

source code for huffman

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

空间统计工具箱，非常实用的matlab程序(Spatial statistical toolbox matlab very practical procedures)

精通MATLAB数字图像处理与识别 chapter10 代码(Proficient in MATLAB digital image processing and recognition chapter10 code)

自适应线性预测编码问题，利用白噪声序列生成信号序列，进而进行LMS迭代，计算滤波器权系数的轨迹曲线和衰减曲线(Adaptive linear predictive coding problem, the use of white noise sequence to generate signal sequence, and then LMS iteration to calculate the filter weights of the trajectory curve and the attenuation curve)