chap3_09_DMRAS_ordn_d

说明：  这是本人下载的matlab 代码，希望能注册账号，成为会员(hello)

卷积码性能分析：AWGN信道下的理论误码特性和仿真特性(Analysis of the performance of convolutional code )

it s about locating TDOA algorithm

比较全的基础代码合集，适合新手上路，包括部分算法(A complete set of basic code, suitable for novice)

ROI area identification, iteration, MCAA, zbthresh This program is simple, everyone can learn under

60个matlab的学习代码，对初学者帮助很大的~~~(60 codes of matlab programing )

这是一个SVM的工具箱，很不错的代码，希望对大家有用(This is a SVM toolbox, very good code)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

SPIHT多级树集合分裂算法的基础知识，讲解详细，适合于入门者理解算法的基本思想。(SPIHT multi-level tree splitting algorithm is a collection of basic knowledge, to explain in detail, suitable for beginners to understand the basic idea of the algorithm.)

说明：  LMS算法的语音信号处理方面的仿真，也是我毕业论文中的(LMS algorithm for speech signal processing simulation)