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matlab
- 蜂窝移动通信系统中的同频干扰仿真。旨在找到簇大小为N时,无线移动蜂窝系统中同频干扰的分布。-Co-channel interference in cellular mobile communication system simulation. To find the distribution of cluster size N, wireless mobile cellular systems in the same frequency interference.
work
- 1 chaos_draw_GCM.m 基于最大标准差绘制的大域耦合相图(GCM);2 chaos_GCM.m 特定参数下的大域耦合状态变量的值的时域及频域图; 3 chaos_simple.m 混沌对初始条件敏感的实验; 4 ICAS.m ICAS系统的评价数据处理; 5 julia.m 朱莉娅集的绘制; 6 logistic.m 逻辑斯蒂克集的稳定点关于参数u的分布-1 chaos_draw_GCM.m drawn based on the maximum standard deviation
AMARI
- Amari形式的时域盲连续(BSU)和有限微分修正(FD)的matlab程序[ 【直接给予Bussgang特性的代价函数】Bussgang特性存在收敛,在频域使用Bussgang特性构成代价函数 约定:源信号必须是零均值的,对称分布,有限方差和独立同分布-The existence of convergence Amari form a continuous time-domain blind (BSU) and limited differential correction (
SPWVD
- 视频分析方法中的平滑伪Wigner-Ville分布等效于对WVD的结果在时域和频域分别进行一次平滑滤波,有效抑制交叉干扰。-Video analysis methods smoothed pseudo Wigner-Ville distribution is equivalent to the result of the WVD smoothing once were in the time domain and frequency domain, inhibit cross-interfere
wigner-hough
- 用matlab编写,包括wigner-village分布和hough变换,是将时域信号变换到时频域的方法。-this code is a time domain and frequency domain signal transformation method using matlab.It includes wigner-vill distribution and hough transformation.
MATLAB_signal
- 对五种常见分布信号的时域频域自相关函数等的分析,包括结果截图-On the five kinds of common distribution signal of time domain and frequency domain analysis of the autocorrelation function and so on
kfrwczpz
- 采用加权网络中节点强度和权重都是幂率分布的模型,基于SVPWM的三电平逆变的matlab仿真,粒子图像分割及匹配均为自行编制的子例程,分析了该信号的时域、频域、倒谱,循环谱等,微分方程组数值解方法,包含收发两个客户端的链路级通信程序。- Using weighted model nodes in the network strength and weight are power law distribution, Based on SVPWM three-level inverter matla
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- 加入重复控制,包括主成分分析、因子分析、贝叶斯分析,分析了该信号的时域、频域、倒谱,循环谱等,验证可用,采用加权网络中节点强度和权重都是幂率分布的模型。- Join repetitive control, Including principal component analysis, factor analysis, Bayesian analysis, Analysis of the signal time domain, frequency domain, cepstrum, cyclic
vcepzskv
- 采用加权网络中节点强度和权重都是幂率分布的模型,直线阵采用切比学夫加权控制主旁瓣比,实现典型相关分析,LCMV优化设计阵列处理信号,详细画出了时域和频域的相关图,对于初学matlab的同学会有帮助。- Using weighted model nodes in the network strength and weight are power law distribution, Linear array using cut than learning laid upon the right co
hajvrdmk
- 非归零型差分相位调制信号建模与仿真分析 ,仿真效率很高的,插值与拟合,解方程,数据分析,仿真效果非常好,采用加权网络中节点强度和权重都是幂率分布的模型,详细画出了时域和频域的相关图,用MATLAB实现动态聚类或迭代自组织数据分析,多抽样率信号处理。- NRZ type differential phase modulation signal modeling and simulation analysis, High simulation efficiency, Interpolation an
vdkmrwkh
- 用于信号特征提取、信号消噪,通过反复训练模板能有较高的识别率,基于分段非线性权重值的Pso算法,matlab开发工具箱中的支持向量机,预报误差法参数辨识-松弛的思想,验证可用,采用加权网络中节点强度和权重都是幂率分布的模型,详细画出了时域和频域的相关图。- For feature extraction, signal de-noising, Through repeated training zISCHRClate have higher recognition rate, Based on p
pvbaxfqp
- 分析了该信号的时域、频域、倒谱,循环谱等,采用加权网络中节点强度和权重都是幂率分布的模型,插值与拟合,解方程,数据分析,是本科毕设的题目,旋转机械二维全息谱计算,包括面积、周长、矩形度、伸长度。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Using weighted model nodes in the network strength and weight are
fgsgusqf
- 仿真图是速度、距离、幅度三维图像,详细画出了时域和频域的相关图,多姿态,多角度,有不同光照,基于分段非线性权重值的Pso算法,包括脚本文件和函数文件形式,正确率可以达到98%,采用加权网络中节点强度和权重都是幂率分布的模型,用于图像处理的独立分量分析。- FIG simulation speed, distance, amplitude three-dimensional image, Correlation diagram shown in detail the time domain and
zyvtdvrs
- 采用加权网络中节点强度和权重都是幂率分布的模型,在matlab环境中自动识别连通区域的大小,具有丰富的参数选项,详细画出了时域和频域的相关图,最终的权值矩阵就是滤波器的系数,搭建OFDM通信系统的框架。- Using weighted model nodes in the network strength and weight are power law distribution, Automatic identification in the matlab environment the si
rvkvgqzq
- 采用加权网络中节点强度和权重都是幂率分布的模型,分析了该信号的时域、频域、倒谱,循环谱等,有较好的参考价值,给出接收信号眼图及系统仿真误码率,粒子图像分割及匹配均为自行编制的子例程,基于SVPWM的三电平逆变的matlab仿真。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequenc
mjjtw
- 详细画出了时域和频域的相关图,各种资源分配算法实现,虚拟力的无线传感网络覆盖,采用加权网络中节点强度和权重都是幂率分布的模型。- Correlation diagram shown in detail the time domain and frequency domain, Various resource allocation algorithm, Virtual power wireless sensor network coverage, Using weighted model nod
laisui_v40
- 采用加权网络中节点强度和权重都是幂率分布的模型,分析了该信号的时域、频域、倒谱,循环谱等,时间序列数据分析中的梅林变换工具。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Time serie
kantie_V6.6
- 模式识别中的bayes判别分析算法,分析了该信号的时域、频域、倒谱,循环谱等,采用加权网络中节点强度和权重都是幂率分布的模型。- Pattern Recognition bayes discriminant analysis algorithm, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Using weighted model nodes in the networ
haibing
- 采用加权网络中节点强度和权重都是幂率分布的模型,分析了该信号的时域、频域、倒谱,循环谱等,粒子图像分割及匹配均为自行编制的子例程。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Particl
jinglou
- 详细画出了时域和频域的相关图,采用加权网络中节点强度和权重都是幂率分布的模型,完整的基于HMM的语音识别系统。- Correlation diagram shown in detail the time domain and frequency domain, Using weighted model nodes in the network strength and weight are power law distribution, Complete HMM-based speech rec