Smart_Antenna_Systems_for_Mobile_Communications

用于matlab 的学习，前五章内容为基本介绍，包括软件安装与卸载，数据类型，数组与matalab常用功能(For the matlab learning, basic introduction to the first five chapters content, including software installation and uninstallation, data types, arrays with common functions matalab)

Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification

实现自适应算法，利用FIR滤波器实现的，在三维空间的有源噪声控制中有预测能力(Realize adaptive algorithm, using FIR filters realized in three-dimensional space of the Active Noise Control has predictive power)

wav的简单读取,fread fseek 等等的简单实现，小程序(wav s simple reading)

bp神经网络源程序，大家可以参考，是用matlab 编写的(bp neural network source, we can refer to, is prepared by the Matlab)

matlab simulink buck boost converter

UKFfunction [x,P]=ukf(fstate,x,P,hmeas,z,Q,R) UKF Unscented Kalman Filter for nonlinear dynamic systems [x, P] = ukf(f,x,P,h,z,Q,R) returns state estimate, x and state covariance, P

matlab写的元胞自动机，有GUI可以方便的使用(matlab write cellular automata, there can easily use GUI)

matlab code for simple listbox control

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)