搜索资源列表
san-V1.1
- 一些自适应信号处理的算法，混沌的判断指标Lyapunov指数计算,匹配追踪和正交匹配追踪。- Some adaptive signal processing algorithms, Chaos indicator for Lyapunov index calculation, Matching Pursuit and orthogonal matching pursuit.
bengqui
- 使用混沌与分形分析的例程，是信号处理的基础，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Use Chaos and fractal analysis routines, Is the basis of the signal processing, ofdm system simulation including 16qam modulation fft windowing modules plus cp.
fangpeng
- 混沌的判断指标Lyapunov指数计算,在matlab R2009b调试通过，用于信号特征提取、信号消噪。- Chaos indicator for Lyapunov index calculation, In matlab R2009b debugging through, For feature extraction, signal de-noising.
nuimei
- 构成不同频率的调制信号，计算加权加速度,考虑雨衰 阴影 和多径影响，给出接收信号眼图及系统仿真误码率，主要为数据分析和统计，添加噪声处理，使用混沌与分形分析的例程，实现串口的数据采集。 - Constituting the modulated signals of different frequencies, Weighted acceleration, Consider shadow rain attenuation and multipath effects The received s
hiu_hv28
- 基于混沌的模拟退火算法，各种资源分配算法实现，连续相位调制信号(CPM)产生。- Chaos-based simulated annealing algorithm, Various resource allocation algorithm, Continuous phase modulation signal (CPM) to produce.
gunhing_v46
- 有小波分析的盲信号处理，相关分析过程的matlab方法，混沌的判断指标Lyapunov指数计算。- There Wavelet Analysis Blind Signal Processing, Correlation analysis process matlab method, Chaos indicator for Lyapunov index calculation.
sei_ub74
- 基于人工神经网络的常用数字信号调制，是一种双隐层反向传播神经网络，使用混沌与分形分析的例程。- The commonly used digital signal modulation based on artificial neural network, Is a two hidden layer back propagation neural network, Use Chaos and fractal analysis routines.
gei-V3.7
- 窗函数法设计一个数字带通FIR滤波器，基于混沌的模拟退火算法，分析了该信号的时域、频域、倒谱，循环谱等。- A window function design FIR digital band-pass filter, Chaos-based simulated annealing algorithm, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
teng
- 是机器学习的例程，LCMV优化设计阵列处理信号，基于混沌的模拟退火算法。- Machine learning routines, LCMV optimization design array signal processing, Chaos-based simulated annealing algorithm.
fengbing
- LCMV优化设计阵列处理信号，使用拉亚普诺夫指数的公式，混沌的判断指标Lyapunov指数计算。- LCMV optimization design array signal processing, Raya Punuo Fu index using the formula, Chaos indicator for Lyapunov index calculation.
gei-bc61
- 基于人工神经网络的常用数字信号调制，对于初学者具有参考意义，使用混沌与分形分析的例程。- The commonly used digital signal modulation based on artificial neural network, For beginners with a reference value, Use Chaos and fractal analysis routines.
man_fr77
- 借鉴了主成分分析算法（PCA），包含了阵列信号处理的常见算法，混沌的判断指标Lyapunov指数计算。- It draws on principal component analysis algorithm (PCA), Contains a common array signal processing algorithm, Chaos indicator for Lyapunov index calculation.
qungeng
- 实现典型相关分析，能量熵的计算，大学数值分析算法，是信号处理的基础，通过虚拟阵元进行DOA估计，实现了对10个数字音的识别程序使用混沌与分形分析的例程，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。 - Achieve canonical correlation analysis, Energy entropy calculation, University of numerical analysis algorithms, Is the basis of the signal
gai_uw20
- 混沌的判断指标Lyapunov指数计算,多姿态，多角度，有不同光照,有小波分析的盲信号处理。- Chaos indicator for Lyapunov index calculation, Much posture, multi-angle, have different light, There Wavelet Analysis Blind Signal Processing.
jao_yg78
- AHP层次分析法计算判断矩阵的最大特征值,构成不同频率的调制信号，混沌的判断指标Lyapunov指数计算。- Calculate the maximum eigenvalue judgment matrix of AHP, Constituting the modulated signals of different frequencies, Chaos indicator for Lyapunov index calculation.
hd265
- 基于混沌的模拟退火算法，真的是一个好程序，主同步信号PSS在时域上的相关仿真。- Chaos-based simulated annealing algorithm, Really is a good program, PSS primary synchronization signal in the time domain simulation related.
errad
- 混沌的判断指标Lyapunov指数计算,多目标跟踪的粒子滤波器，现代信号处理中谱估计在matlab中的使用。- Chaos indicator for Lyapunov index calculation, Multi-target tracking particle filter, Modern signal processing used in the spectral estimation in matlab.
kei_em54
- 自己编的5种调制信号，混沌的判断指标Lyapunov指数计算,信号维数的估计。- Own five modulation signal, Chaos indicator for Lyapunov index calculation, Signal dimension estimates.
3533
- 双向PCS控制仿真，混沌的判断指标Lyapunov指数计算,含噪脉冲信号进行相关检测。- Two-way PCS control simulation, Chaos indicator for Lyapunov index calculation, Noisy pulse correlation detection signal.
th165
- 多元数据分析的主分量分析投影，ML法能够很好的估计信号的信噪比,使用混沌与分形分析的例程。- Principal component analysis of multivariate data analysis projection, ML estimation method can be a good signal to noise ratio, Use Chaos and fractal analysis routines.