translate-data-using-expdp

第3章 离散系统结构 109 3.1 离散系统结构的基本原理 109 3.1.1 离散系统结构的分类 109 3.1.2 离散系统结构的基本组成 109 3.2 IIR系统结构及MATLAB实现 110 3.2.1 直接I型 111 3.2.2 直接II型 111 3.2.3 级联型 113 3.2.4 并联型 118 3.3 FIR系统结构及MATLAB实现 122 3.3.1 直接型 123 3.3.2 级联型 123 3.3.3 线性相位型 124 3.3.4 频率取样型 126 3.4 Lattice结构及MATLAB实现 131 3.4.1 全零点FIR系统的Lattice结构 131 3.4.2 全极点FIR系统的Lattice结构 136 3.4.3 零极点ARMA系统的Lattice结构 140(Chapter 3 Structure of Discrete Systems 109 3.1 The structure of the basic principles of discrete systems 109 3.1.1 Classification of 109 Discrete System 3.1.2 The basic system structure composed of discrete 109 3.2 IIR system structure and MATLAB Implementation 110 3.2.1 Direct I-111 3.2.2 Direct Type II 111 113 3.2.3 Cascaded 3.2.4 Parallel 118 3.3 FIR system structure and MATLAB Implementation 122 3.3.1 Direct Model 123 123 3.3.2 Cascaded 3.3.3 Linear Phase Model 124 3.3.4 Type 126 frequency sampling 3.4 Lattice structure and MATLAB Implementation 131 3.4.1 System-wide zero FIR Lattice Structure 131 3.4.2 Lattice all-pole structure 136 FIR system 3.4.3 zero-pole structure 140 Lattice ARMA system)

带通采样定理的验证以及在无线电全数字中频直扩接收机的应用 (Verify bandpass sampling theorem)

43 cases of neural network matlab source code 神经网络43个案例的源代码，(43 cases of neural network matlab source code)

antenna design chapter 4

连续函数matlab基本用法及各种简单形式描述(Continuous function matlab basic usage and various simple form description)

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.)

Instruction for using matlab step by step in Vietnamese

The best of modern books on CFD

............... A Backstepping Control Method for a Nonlinear Process - Two ..................................................................................................................

Rainfall time series forecasting