Matlab信号处理（刘波等编著）部分程序，内附有一个常用函数清单的PDF文档...

脉冲编码调制(PCM)实现 编程实现PCM技术的三个过程：采样、量化与编码。 采样：低通连续信号采样，以 x=sin(200*t) m=x./(200*t) m=m.*m 为例说明低通采样定理，绘出信号时、频图形；带通连续信号采样，以x=sin(20*t) m=x./t 为例说明带通采样定理，绘出信号时、频图形。 量化：均匀量化，以幅度 的正弦信号为例实现为64级电平的均匀量化；非均匀量化，输入A律PCM编码器的正弦信号 ，采样序列为 ，将其进行PCM编码，给出编码器的输出码组序列 编码：以上述信号为例，实现A律的13折线近似法及国际标准PCM对数A律量化编码。(Pulse code modulation (PCM) to achieve PCM technology programming three processes: sampling, quantization and coding. Sample: low-pass continuous signal sampling to x = sin (200* t) m = x./(200* t) m = m.* m an example low-pass sampling theorem, draw the signal, frequency graphics bandpass sampling continuous signals to x = sin (20* t) m = x./t an example bandpass sampling theorem, draw the signal, frequency graph. Quantization: uniform quantization, in order to realize the magnitude of sinusoidal signal as an example for the 64 level uniform quantization non-uniform quantization, input A law PCM encoder sine signal, the sampling sequence, to be PCM encoded, the encoder is given The output code sequence Code: A Case Study of the signal to achieve the 13 A line approximation law and international standards on the number of A law PCM coding quantization.)

一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM同步算法对OFDM系统基于试点,使用前言快速、准确获取信号,在有限的时间建立同步,利用导频跟踪同步信息(A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM a synchronization algorithms for OFDM system based on pilot, using the preamble to fast and accurate acquire signal, establish synchronization in the limited time, and using pilot to track synchronization information)

符合瑞利包络的杂波功率谱与幅度概率密度函数。(The spectral power spectrum and amplitude probability density function of Rayleigh envelope)

GUI of dispersion for communication system

matlab Official Study Manual,适合新手学习和快速查阅matlab相关知识的手册使用。

dv-hop算法改进的matlab仿真程序，提高了算法的覆盖率。(Improvement of DV-Hop)

经典的基于密度的DBSCAN算法，注释详细(Classic DBSCAN algorithm based on density, detailed notes)

自己学习svm，编写的几个svm实例代码(Their own learning svm, svm example code written in several)

这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book corresponding implementation procedures, there is a good understanding of the book talking about the theory help group, this book is to learn sparse coding and compressed sensing a very good book)

在实际计算中，有时为了避免开方运算，或者要分解的矩阵只是对称而不是正定的，这时可以选用适合于一般对称阵的分解式(In the actual calculation, sometimes in order to avoid root operation, or just want to break down the matrix rather than positive definite symmetric, then you can choose suitable for general symmetric matrix factorization)