搜索资源列表
PRI transform
- 雷达信号分选仿真数据产生程序以及信号分选的PRI变换算法仿真程序-Radar signal sorting simulation data generation process and the PRI transform signal sorting algorithm simulation program
TFD-chirplet.rar
- matlab 压缩包文件,基于时频分析的isar回波处理历程,基于时频分析的多分量现形调频信号处理,matlab compressed file, based on the time-frequency analysis of the ISAR echo processing course, based on the time-frequency analysis of multi-component FM signal processing edition
stestandst
- S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。-S transform matlab source, and apply some signal as an example to illustrate how to use s and s transform transform can be used to do thing
zak
- 对信号进行zak变换，计算速度快结果准确，开发环境为matlab-Zak transform the signal to calculate speed and accurate results, the development environment for matlab
KLoeve
- KL变换主分量分析 用于各种信号的处理包括图像信息的分析压缩-KL transform principal component analysis for a variety of signal processing, including image compression, and so the analysis of information
signal
- 通信原理实验代码，AM信号，单边带信号，双边带信号的产生以及傅里叶变换-Communication Theory test code, AM signal, single-sideband signal, as well as double-sideband signal generation Fourier transform
MATLAB6signal_process_andtoolbox
- 第一章:MATLAB6 简介 第二章:离散信号及其MATLAB实现 第三章:离散系统及其MATLAB实现 第四章:信号变换及其MATLAB实现 第五章:离散系统的结构及其MATLAB实现 第六.七.八章:基于MATLAB的IIR DF.FIR DF 设计 功率谱估计-Chapter I: MATLAB6 Introduction Chapter II: MATLAB realization of discrete signal and its Chapter III: dis
transform
- 关于含噪信号的快速傅里叶变换和希尔伯特变换-On the noisy signal Fast Fourier Transform and Hilbert Transform
selected_Algorithm_Collections_for_DSP_Application
- 基于matlab的新型信号处理算法集。包括模拟退火、遗传算法、反向传播神经网络、小波变换等等，对于统计信号处理很有参考价值。-Matlab based on a new type of signal processing algorithms. Including simulated annealing, genetic algorithm, back-propagation neural network, wavelet transform, etc., for statistical sig
123
- 信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、fir和Lattice结构；IIR滤波器设计包括模拟和数字低通、高-Basic knowledge of signals and systems, including continuous signal with the model, discrete signals and model common signal, inclu
MIMO_OFDM
- 信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、-Basic knowledge of signals and systems, including continuous signal with the model, discrete signals and model common signal transform including Z transform,
wavelet
- 语音增强是语音信号处理的重要分支，本程序用小波变换实现-Speech enhancement speech signal processing is an important branch, the procedures for implementation of Wavelet Transform
STFT
- 对信号进行短时傅里叶变换，可以方便的调节各种短时傅里叶变换的影响因素。-Short-time Fourier transform of the signal, you can easily adjust a variety of short-time Fourier transform of the influencing factors.
wavelet_Matlab7
- 本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实
MATLAB
- 本文介绍了数字信号处理中各种算法基本原理，包括Z 变换、DFT 变换及其快速 算法FFT 等信号变换算法和包括IIR 与FIR 数字滤波器的设计与实现，详细论述了利用 MATLAB 软件对信号变换和设计数字滤波器的原理﹑ 步骤和实现方法，并给出了基于 MATLAB 的模拟与仿真。文章最后给出了实验结果，并就其结果做了进一步的解释和说明。 关键词：Z 变换，离散傅立叶变换DFT，数字滤波器，系统结构仿真 -This article describes a variety of
Disfrct
- 离散分数阶傅里叶变换，可以处理非平稳信号，也可以很好的对抗多普勒频移，用在OFDM系统中尤为重要。-Discrete fractional Fourier transform, can handle non-stationary signal can also be very good against the Doppler frequency shift, used in the OFDM system is particularly important.
ApEn
- To estimate approximate entropy for EEG signal or time series data
eeg_toolbox_v2.3
- 本文件是脑电信号分析MATLAB工具箱，是做信号处理的必备工具，尤其针对生物医学信号处理，更合适。-This file is EEG analysis MATLAB toolbox, is the necessary tool for signal processing, especially for biomedical signal processing, more appropriate
caiyangdingli
- 使用每秒10个采样的频率 ，对信号 进行采样，画出原始信号的傅立叶变换X(f) 和理想采样信号的傅立叶变换 。假定重构滤波器是带宽为 的理想低通滤波器，具有带通增益 ，画出重构滤波器的输出-Using 10 samples per second frequency, the signal is sampled, to draw the original signal Fourier transform X (f) and the ideal sampling signal Fourier tra
wavelet-signal
- 利用小波变换对有噪正弦信号进行去噪，来实现信号优化-Wavelet transform denoising of noisy sinusoidal signals to achieve optimal signal