ch2example22Sfun

基带信号周期采样的分析与仿真设计低通信号，对该信号进行周期采样，最后从采样数据中恢复原始信号；改变采样频率，给出相应的仿真结果；考察前端抗混叠滤波器的作用和必要性；分析后端理想恢复滤波器是否唯一。( Periodic sampling of the baseband signal analysis and simulation to design low pass signal, the signal is periodic sampling, finally recover the original signal from the sampled data changing the sampling frequency, gives the corresponding simulation results examine the front of the role of anti-aliasing filter and necessity analysis backend ideal restoration filter is unique.)

有详细的OFDM的LS，MMSN算法，注释，允许结果均有效(Detailed OFDM-LS, MMSN algorithm, notes, allowing the results are valid)

matlab实现huffman编码 1. norm2huff.m (encoder function) 2. huff2norm.m (decoder function) 3. frequency.m (private function) 4. huffcodes2bin.m (binary rapresentation of huffman codes) 5. huffman_bench1.m (benchmark) 6. huffman_demo1.m (demo file) 7. huffman_demo2.m (demo file) 8. huffman_test1.m (test file) 9. huffman_test2.m (test file) 10. huffman_docs.zip (documentation) 11. Disclamer.txt (this is the disclamer)(huffman coding matlab realize 1. norm2huff.m (encoder function) 2. huff2norm.m (decoder function) 3. frequency.m (private function) 4. huffcodes2bin.m (binary rapresentation of huffman codes) 5. huffman_bench1.m (benchmark ) 6. huffman_demo1.m (demo file) 7. huffman_demo2.m (demo file) 8. huffman_test1.m (test file) 9. huffman_test2.m (test file) 10. huffman_docs.zip (documentation) 11. Disclamer.txt (this is the disclamer))

任意比例缩小图象，支持JPG和24为真彩色位图。初学者小看一下……(Any scaled-down images, support for JPG and 24 for true color bitmap. Beginners to belittle you ... ...)

关于polar 码的SC（Successive Cancellation）译码程序，与原作者用BP（belief propagation）实现的译码程序“Polar code encoder and decoder”可以对比看(This is a SC decoding program about polar codes)

用MATLAB实现动态聚类或迭代自组织数据分析，主要为数据分析和统计，D-S证据理论数据融合。( Using MATLAB dynamic clustering or iterative self-organizing data analysis, Mainly for data analysis and statistics, D-S evidence theory data fusion.)

阵列方向图的matlab仿真，方向图的画法是阵列信号处理学习的最基本的能力，(Array pattern of matlab simulation, pattern of the array signal processing, painting is the most basic learning ability,)

Get Transfer Fucntion of System using fminsearch

最小均方算法lms在波束形成中的应用　　LMS算法步骤： 　　1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　b(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行。(Lms least mean square algorithm applied in Beamforming )

MATLAB CODE FOR OFDM IEEE PAPERS PDF