瑞利信道matlab

说明：  这些MATLAB的M文件分为两部分：程序清单A中收录了产生PPM-TH和PAM-DS这两个信号源的所有函数；程序清单B中收录了加性高斯白噪声（AWGN）信道建模，正交和非正交单脉冲PPM-TH接收机结构，以及反极性PAM-DS单脉冲接收机结构仿真所需的所有函数。(The MATLAB M-file is divided into two parts: A list of procedures in the collection of produce PPM-TH and PAM-DS two signal sources all functions Listing B, contains an additive white Gaussian noise (AWGN) channel construction mode, orthogonal and non-orthogonal single-pulse PPM-TH receiver structure, as well as anti-polarity PAM-DS receiver structure simulation of single-pulse all the necessary functions.)

在matlab环境下的简单调频过程的实现(frequency modulation)

无监督聚类算法,能够自动聚类,不必预先给出类数,聚类精度好于常用的聚类算法.(Unsupervised clustering algorithm, can automatically cluster, do not have to give in advance the number of categories, clustering accuracy of better than commonly used clustering algorithm.)

第一，二种边界条件的三次样条插值法matlab代码(First, the two kinds of boundary conditions of the cubic spline interpolation matlab code)

很好的卡尔曼滤波程序，kalmanlvbo(good Kalman filtering procedures, kalmanlvbo)

（1） 分别采集一段浊音和清音语音信号（是你自己说的），采样率为8KHZ，量化精度为16比特线性码； （2） 分析帧长取为30ms（或10ms～50ms）； （3） 根据语音信号倒谱分析和LPC谱分析的编程流程图（图2.1、图2.2）编制浊音语音信号谱分析的matlab程序，上机调试给出相应波形，并根据图形，观察共振峰情况； （4） 将语音信号换为清音语音，运行程序，与浊音语音的运行结果进行比较，并得出结论。 （5） 在LPC谱分析中，改变阶数p （p分别等于4、8、12、40）时，观察对谱包络的影响，并与信号谱（DFT谱）进行比较。 ( voice signal processing)

在读研期间自己写的基于子带频谱墒的语音端点检测程序，绝对正确，并且好用！(in during the sub-band spectrum of soil moisture based on voice activity detection procedures, absolutely correct, and easy to use!)

matlab demo for image compression by wavelet transform

This collection of files is an extension of the wavelet software package originally written by Torrence and Compo (http://paos.colorado.edu/research/wavelets/software.html) The main functions are: 1. contwt.m: (continuous wavelet transform). This is essentially Torrence and Compo s wavelet.m with a few modifications (more inputs and outputs for easier access) 2. invcwt.m: inverse continuous wavelet transform.

一个学习Naive Bayes的matlab代码，学习到的参数只与样本的个数有关，与实际的样本值没有直接关系。 为了代码的可读性、容易学些，算法的实现没有采用MATLAB向量化 操作。(A Naive Bayes learning matlab code, only to learn the parameters related to the number of samples, and the actual sample values ​ ​ are not directly related. For code readability, easy to learn something, no algorithm using MATLAB vectorized operations.)