mymorletcwt_main

音频得信号处理 画图 和数据得分析 根据声音画出音波图形(Paint the audio signal processing and data obtained was analyzed)

function [s,t,q,z] = reordr(s,t,q,z)

The implementation was built on Matlab/Simulink using fundamental components in Simulink to demonstrate how reliably complex modulation schemes can be built, cost effectively and efficiently [5]. The design of ZigBee transmitter using MSK modulation is shown in the Figure 1. Here we map input data bits to 8-chip PN sequences to be transmitted and results in a chip rate of two mega chips per second. After that, resultant chip sequence is send to the serial to parallel converter. It is used here to separate the odd and even bit indexed chips. Following this bipolar data formatting is performed and signal modulated with a 2.4 GHz carrier on the In Phase and QuadraturePhase data stream and adds it to get the required transmitter output signal.

This Matlab code implements Cauchy s steepest descent method using Armijo stepsize rule

一篇描述非线性滤波的经典文章，推荐给大家，文中有程序的介绍。(a description of the classical nonlinear filtering articles, recommended to you the text of the procedures introduced.)

经验模态分解函数，可实现信号分解及滤波的功能。(EMD scheme which can achieve signal decomposition and noise elimanition.)

说明：  浅层海洋环境由信源组成声源，海洋形成信道，和水听器阵列组成接收器。在这个传播模型中，信源，信道和接收信号这三者，通常能知二求一，具体应用诸如利用海洋环境参数和接收到的信号来定位声源，或者通过计算发射信号和接收信号之间的差异，反演海洋环境参数。 而在接收器方面，我们通过设置各向同性的水听器阵列。通过算法和处理器，我们便能量化模型，传统是处理器主要基于接收信号是高斯信号，而海洋中存在着大量的有色噪声。本课题的研究目的便是在前人的基础上，在海洋声层析成像的背景下，在信源与接收器阵列之间，引入信号的高阶统计量，对非高斯过程的水下信号源进行定位，并提高算法的性能和准确性。 利用非高斯过程的高阶累积量不恒为零的特点，滤去高斯有色噪声对信号的影响，其又包含了信号的相位信息，便可以极大的优化匹配场处理过程的性能和准确性。(After receiving signals based on high order cumulant matched field processor after matched field localization, the positioning effect will be more accurate, sidelobe suppression more effectively, and compared with other traditional matched field processor in low SNR environment, it can position more accurately.)

小波神经网络研究的进展用于预测和函数逼近，希望可以抛砖引玉(Wavelet neural network for predicting the progress of the study and function approximation, hoping to start)

This code is the neural network for global shape otpimization of fuel cell by matlab. Initial design variable value is input with dynamic analysis result.

基本的ICA算法代码,进行有效的特征提取，是一种降维方法。(the matlab code of ICA)