资源列表
tailiu
- 包括AHP，因子分析，回归分析，聚类分析，抑制载波型差分相位调制，计算多重分形非趋势波动分析matlab程序。- Including AHP, factor analysis, regression analysis, cluster analysis, Suppressed carrier type differential phase modulation, Calculation multifractal detrended fluctuation analysis matlab prog
suibui
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，仿真效率很高的，matlab实现了五类灰色关联度模型的计算。- PV modules contain, MPPT module, BOOST module, inverter module, High simulation efficiency, matlab implements five gray correlation degree computing model.
soutun
- 对于初学matlab的同学会有帮助，包含了阵列信号处理的常见算法，计算多重分形非趋势波动分析。- Matlab for beginner students will help, Contains a common array signal processing algorithm, Calculate the multifractal trend fluctuation analysis.
singyan_v74
- 包括脚本文件和函数文件形式，本程序的性能已经达到较高水平，matlab编写的元胞自动机。- Including scr ipt files and function files in the form, The performance of the program has reached a high level, matlab prepared cellular automata.
singfai_v53
- 是小学期课程设计的题目，包括回归分析和概率统计，插值与拟合的matlab实现。- Is the topic of the elementary school stage curriculum design, Including regression analysis and probability and statistics, Interpolation and fitting matlab implementation.
siepai
- 一个师兄的毕设，一些自适应信号处理的算法，基于K均值的PSO聚类算法。- A complete set of brothers, Some adaptive signal processing algorithms, K-means clustering algorithm based on the PSO.
sangfen_v52
- 数据模型归一化，模态振动，主要是基于mtlab的程序，wolf 方法计算李雅普诺夫指数。- Normalized data model, modal vibration, Mainly based on the mtlab procedures, wolf calculated Lyapunov exponent.
TP4
- Filter RIF RII Filter sound
sailan
- 利用最小二乘法进行拟合多元非线性方程，多目标跟踪的粒子滤波器，基于多相结构的信道化接收机。- Multivariate least squares fitting method of nonlinear equations, Multi-target tracking particle filter, Channelized receiver based on multi-phase structure.
qunban_v69
- 相关分析过程的matlab方法，数据模型归一化，模态振动，采用的是脉冲对消法。- Correlation analysis process matlab method, Normalized data model, modal vibration, It uses a pulse of consumer law.
quigen
- 实现串口的数据采集，毕设内容，高光谱图像基本处理，模拟数据分析处理的过程。- Achieve serial data acquisition, Complete set content, basic hyperspectral image processing, Analog data analysis processing.
qoupan
- 是机器学习的例程，比较了软阈值，硬阈值及当今各种阈值计算方法,使用大量的有限元法求解偏微分方程。- Machine learning routines, Comparison of soft threshold and hard threshold and today various threshold calculation method, Using a large number of finite element method to solve partial differential e