资源列表
m
- 该程序试图考察一组数据服从哪种分布（正态，指数或双边指数），并利用K-S检验对各种分布作了检验。-The program attempts to examine a set of data subject to which distribution (normal, exponential or bilateral index), and use KS test has been tested in a variety of distributions.
uom[omfsfs
- 音频信号的谱分析及去噪 是一个课程设计的题目 报告很完整 可以使用-Spectrum analysis and audio signal de-noising is the subject of a course design is very complete report can be used
block_interleaver
- 本程序为将WuYufei的turbo码中随机交织器程序改为分组交织器的程序，此分组交织器为20by20实现行入列出功能，经调试可用-This procedure will be WuYufei random interleaver of turbo codes in the program changed to packet interleaver process, this packet interleaver row into the list for the 20by20 achieve
Dfencha1
- 基于MATLAB非线性确定性系统的分岔与混沌设计程序编程-MATLAB-based non-linear deterministic system of bifurcation and chaos Design Programming
work
- 该段程序代码是实现一阶惯性环节大林算法的matlab程序-The paragraph code is to achieve a first-order inertia link Dalin algorithm matlab program
QAM
- 16QAM调制解调，不用系统自带命令，完全按照调制解调系统进行。-16QAM modulation and demodulation, without the system comes with command, in full accordance with modulation and demodulation system.
mulDNewton
- 本代码为牛顿下山法求解非线性方程组。其调用格式为[r,m]=mulDNewton(F,x0,eps) 其中F:非线性方程组，x0：初始解，eps：解的精度；r：求得的一组解，n：迭代步数。-The code for Newton' s method for solving nonlinear equations. Its call format [r, m] = mulDNewton (F, x0, eps) where F: non-linear equations, x0: init
RCS-Radar Systems Analysis and Design Using MATLAB
- 《Radar Systems Analysis and Design Using MATLAB》中RCS的源程序-matlab program of RCS in《Radar Systems Analysis and Design Using MATLAB》
ldpc-bp-log
- matlab环境下BP译码log程序,很简洁,已运行成-ldpc bp decoding of log in matlab enviorment
st
- S变换的MATLAB程序，可用于地震勘探去噪中，性能优于小波变换-S transform MATLAB program can be used for seismic exploration in the de-noising performance is better than wavelet transform
LSL
- LSL最小二乘方格型算法的自适应滤波程序及其应用-LSL least-squares grid-based algorithm for adaptive filtering procedures and its application
jcwtlib-0.01.tar
- 独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独