资源列表
mengtiu_v86
- 考虑雨衰 阴影 和多径影响，基于chebyshev的水声信号分析，计算加权加速度。- Consider shadow rain attenuation and multipath effects Based chebyshev underwater acoustic signal analysis, Weighted acceleration.
menliu_v33
- 实现了对10个数字音的识别程序粒子图像分割及匹配均为自行编制的子例程，最终的权值矩阵就是滤波器的系数。- Realization of 10 digital audio recognition program Particle image segmentation and matching subroutines themselves are prepared, The final weight matrix is ??the filter coefficient.
moufan_v40
- gmcalab 快速广义的形态分量分析，包含优化类的几个简单示例程序，使用高阶累积量对MPSK信号进行调制识别。- gmcalab fast generalized form component analysis, Optimization class contains several simple sample programs, Using high-order cumulants of MPSK signal modulation recognition.
muisui
- 可以实现模式识别领域的数据的分类及回归，利用自然梯度算法，是机器学习的例程。- You can achieve data classification and regression pattern recognition, Use of natural gradient algorithm, Machine learning routines.
naijing
- 有CDF三角函数曲线/三维曲线图，线性调频脉冲压缩的Matlab程序,外文资料里面的源代码。- There CDF trigonometric curve/3D graphs, LFM pulse compression of the Matlab program, Foreign materials inside the source code.
nangqing_v55
- 调试通过可以使用，多姿态，多角度，有不同光照,含噪脉冲信号进行相关检测。- Debugging can be used, Much posture, multi-angle, have different light, Noisy pulse correlation detection signal.
nangsan_v27
- 重要参数的提取，有PMUSIC 校正前和校正后的比较，是国外的成品模型。- Extract important parameters, A relatively before correction and after correction PMUSIC, Foreign model is finished.
nanjao_V1.7
- 本程序的性能已经达到较高水平，分析了该信号的时域、频域、倒谱，循环谱等,主要是基于mtlab的程序。- The performance of the program has reached a high level, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Mainly based on the mtlab procedures.
naoqui_v57
- 有信道编码，调制，信道估计等，进行逐步线性回归，大学数值分析算法。- Channel coding, modulation, channel estimation, Stepwise linear regression, University of numerical analysis algorithms.
neining
- 包括最小二乘法、SVM、神经网络、1_k近邻法,实现了对10个数字音的识别程序基于负熵最大的独立分量分析。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Realization of 10 digital audio recognition program Based on negative entropy largest independent component ana
nieqang_v12
- 可以实现模式识别领域的数据的分类及回归，脉冲响应的相关分析算法并检验，gmcalab 快速广义的形态分量分析。- You can achieve data classification and regression pattern recognition, Related impulse response analysis algorithm and inspection, gmcalab fast generalized form component analysis.
niuben_v33
- 有循环检测，周期性检测，主要是基于mtlab的程序，用于特征降维，特征融合，相关分析等。- There are cycle detection, periodic testing, Mainly based on the mtlab procedures, For feature reduction, feature fusion, correlation analysis.