资源列表
Particle-Swarm-Toolbox.zip
- 另一个matlab环境下pso的工具箱，里边有n个例子,Another matlab environment PSO toolbox, inside there are n examples
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
ofdmwaterfilling.rar
- 这是基于matlab的单用户注水算法的源程序，,This is a matlab-based algorithm for single-user water source,
wavelet_matlab_code.rar
- 2代小波示意程序 2维小波变换经典程序 Daubechies小波基的构造 采用多孔trous算法(undecimated wavelet transform)实现小波变换 平移变换平移法(cycle_spinning)消除gibbs效应 提升法97经典程序 消失矩作用的程序 小波插值与小波构造 小波滤波器构造和消噪程序 小波谱分析mallat算法经典程序,2 Generation Wavelet indicated procedures classic 2-D wavelet
PSOt.rar
- PSO工具箱使用简介 方便大家 共同进步,About PSO toolbox to facilitate the use of U.S. common progress
QoS.rar
- QoS组播路由问题的蚁群算法通用Matlab源码,QoS multicast routing problem common Matlab source code ant colony algorithm
波音747飞机运动空间六自由度仿真模型
- 波音747飞机运动空间六自由度仿真模型-Simulink程序-The Simulink of 6-DOF Model for Boein 747
Poincare-Sphere
- 针对光纤耦合数据文件在邦加球上处理显示，是偏振态变化更加清晰可见。-According to data files in the state, fiber coupled with ball processing and display, polarization more change is clearly visible.
band-pass-filter-by-remez-function
- 用MATLAB中remez函数设计一带通FIR滤波器。打印出单位脉冲响应 ，并画出幅频响应。-Design using MATLAB function in the vicinity of remez pass FIR filter. Print out the unit impulse response and frequency response plot.
Conducting-cylinder-scattering-
- 在TM波激励下，用矩量法仿真导电柱体的散射，得到电流密度与电荷密度随入射角度变化的规律。-In the TM wave excitation, using the method of moments simulation of the scattering conductive cylinder, get the current density and charge density variation with angle of incidence.
标准图像的背景分离和皮肤区域提取
- 1. 理解彩色图像的颜色分层原理和方法 2. 利用颜色分层方法对彩色图像进行分层处理 3. 实现对身份证标准图像的背景分离和皮肤区域提取-1 understand the color image color layering principles and methods (2) the use of color layered approach for hierarchical processing of color images 3 to achieve the
K-mean-clustering
- K-mean方法聚类 实现多幅图像的K均值方法的聚类并显示-K-mean clustering，Efficient method to achieve multiple images of the K-means clustering method and display