QWJ

关于OFDM的调制仿真，其中使用是QPSK调制，包含FFT、循环前缀、加窗等基本过程。(OFDM modulation on the simulation, in which a QPSK modulation, contains the basic process FFT, cyclic prefix, windowing and so on.)

已知自变量t，因变量y，y和t满足一下函数式： dy/dt=0.001414/(1/(4.5727*10^4*k1*(1-0.02119*y)^k2)+1/k3/45727)；（需要指出的是，该公式中参数可进一步合并，在本帖中并未作合并处理） 已知 t=；y=；拟合出参数k1，k2，k3。(Known independent variable t, the dependent variable y, y, and t satisfy my functional: dy/dt = 0.001414/(1/(4.5727* 10 ^ 4* k1* (1-0.02119* y) ^ k2)+1/k3/45727) (It should be noted that the equation parameters can be further consolidated in this post are not treated as a merger) is known t = y = fitting parameters k1, k2, k3.)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

matlab2007 b 汉化包源码要求为希望对英文很菜的新手有所帮助-(matlab2007 b finished package)

periode lambda bragg grating

这是一个用matlab编写的计算定位CRLB的程序。(This is a matlab prepared by the positioning calculation CRLB program.)

matlab fft matlab fft hit (matlab fft hit matlab fft hit )

关于matlab编程的基本规则和说明，作者是richard johnson(basic rules and description about how to program in matlab,the author is richard johnson)

Artificial neural network activation functions of ANN

simulink file for controlin buck converter by pwm method