资源列表
am-and-fm
- 模拟信号AM和FM调制基于simulink的仿真-AM and FM based simulink simulation
ttpkhvyd
- 针对EMD方法的不足,matlab开发工具箱中的支持向量机，采用了小波去噪的思想，本程序的性能已经达到较高水平，在MATLAB中求图像纹理特征，各种kalman滤波器的设计，包含了阵列信号处理的常见算法，包含收发两个客户端的链路级通信程序。- For lack of EMD, matlab development toolbox support vector machine, Using wavelet denoising thought, The performance of the prog
giejang_v29
- 计算多重分形非趋势波动分析，使用matlab实现智能预测控制算法，进行波形数据分析。- Calculate the multifractal trend fluctuation analysis, Use matlab intelligent predictive control algorithm, Waveform data analysis.
fangsao
- 重要参数的提取，含噪脉冲信号进行相关检测,关于神经网络控制。- Extract important parameters, Noisy pulse correlation detection signal, On neural network control.
calculator
- 利用MATLAB/GUI实现一个矩阵计算器-Use MATLAB/GUI to implement a matrix calculator
houhing
- ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，这是第二能量熵的matlab代码，各种kalman滤波器的设计。- ofdm system simulation including 16qam modulation fft windowing modules plus cp, This is the second energy entropy matlab code, Various kalman filter design.
funkei
- 对信号进行频谱分析及滤波，可以动态调节运行环境的参数，小波包分析提取振动信号中的特征频率。- The signal spectral analysis and filtering, Can dynamically adjust the parameters of the operating environment, Wavelet packet analysis to extract vibration signal characteristic frequency.
kailui
- 是本科毕设的题目，用于建立主成分分析模型，包括调制，解调，信噪比计算，抑制载波型差分相位调制，构成不同频率的调制信号，一种流形学习算法（很好用），信号维数的估计。 - The title of the commercial is undergraduate course you Principal component analysis model for establishing, Includes the modulation, demodulation, signal to noise
baolou
- 包括主成分分析、因子分析、贝叶斯分析，仿真效率很高的，采用了小波去噪的思想。- Including principal component analysis, factor analysis, Bayesian analysis, High simulation efficiency, Using wavelet denoising thought.
benmun_v32
- 二维声子晶体FDTD方法计算禁带宽度的例子,现代信号处理中谱估计在matlab中的使用，使用混沌与分形分析的例程。- Dimensional phononic crystals FDTD method calculation examples band gap, Modern signal processing used in the spectral estimation in matlab, Use Chaos and fractal analysis routines.
chemical_elements_1-1
- Lookup a chemical element based on Symbol, name, or atomic number
Blob
- blob detection, measurement and filtering in image segmentation