DC_AC

王燕编写的《应用时间序列分析》的PPT、程序和数据(the PPT/SAS code/dataset for <time series> by wangyan)

用差分方程或数值微分解决简单的实际问题。 实验3 插值与数值积分 l 插值问题提法和求解思路 l Lagrange插值的原理和优缺点 l 分段线性和三次样条插值的原理和优缺点 l 用MATLAB实现分段线性和三次样条插值 l 梯形、辛普森积分公式的原理及MATLAB实现 l 数值积分公式的误差——收敛阶的概念 l 高斯积分公式 l 广义积分与多重积分 l 用插值和数值积分解决简单的实际问题。 实验4 常微分方程数值解 l 欧拉方法的原理及龙格-库塔方法的思路 l 局部截断误差和精度的概念 l 龙格-库塔方法的MATLAB实现，包括求解微分方程组和高阶微分方程 (data fitting)

perform transformation to time frequency domain

语音信号分析处理实验，主要是线性预测分析的matlab代码(Speech signal analysis and processing experiments, mainly linear predictive analysis matlab code)

Modular Cascaded H-Bridge Multilevel PV Inverter With Distributed MPPT for Grid-Connected Applications

介绍了用MATLAB来实现曲线拟合的方法，对进行该方面学习的人很有效(Described curve fitting using MATLAB to implement the method aspects of the conduct of the study were very effective)

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.

推力轴承雷偌方程MATLAB编程求解油膜压力(MATLAB programming for solving oil film pressure of thrust bearing)

A speech signal filterbank, using melscale frequency and framebanking.( 1. For speech signal can be represented as a discrete sequence of frames (or feature vectors) that can be used as the input to a speech recogniser. Important ideas and techniques that are used in the assignment are the design of a (Mel frequency scale) audio filterbank, , windowing of a continuous audio signal, spectrum analysis of the signal, filtering as multiplication in the frequency domain, the visual representation of a speech signal as a spectrogram, appreciation of the acoustic variability in real speech utterances. 2. To gain a deeper knowledge of the application of MATLAB programming to audio signal processing. 3. To gain practice in the art of writing a formal report: structure, content, style, use of diagrams, presentation etc. etc. )

it is .rar file which contains somne source codes..