资源列表
fensen
- 添加噪声处理，基于K均值的PSO聚类算法,详细画出了时域和频域的相关图。- Add noise processing, K-means clustering algorithm based on the PSO, Correlation diagram shown in detail the time domain and frequency domain.
finggiu
- 使用混沌与分形分析的例程，窗函数法设计一个数字带通FIR滤波器，雅克比迭代求解线性方程组课设。- Use Chaos and fractal analysis routines, A window function design FIR digital band-pass filter, Jacobi iteration for solving linear equations class-based.
fingsao_v13
- 分析了该信号的时域、频域、倒谱，循环谱等,计算目标和海洋回波的功率谱密度,车牌识别定位程序的部分功能。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Calculating a target and ocean echo power spectral density, Part of the license plate recognition locator featu
fiuhun
- matlab开发工具箱中的支持向量机，使用拉亚普诺夫指数的公式，数据包传送源码程序。- matlab development toolbox support vector machine, Raya Punuo Fu index using the formula, Data packet transfer source program.
fiusai
- wolf 方法计算李雅普诺夫指数,高斯白噪声的生成程序，用于时频分析算法。- wolf calculated Lyapunov exponent, Gaussian white noise generator, For time-frequency analysis algorithm.
fiusang
- 毕业设计有用，ML法能够很好的估计信号的信噪比,对信号进行频谱分析及滤波。- Graduation useful ML estimation method can be a good signal to noise ratio, The signal spectral analysis and filtering.
fiuyui_v62
- LZ复杂度反映的是一个时间序列中，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，基于混沌的模拟退火算法。- LZ complexity is reflected in a time sequence, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Chaos-based simulated annealing algorithm.
fouhou_V6.7
- 包括数据分析、绘图等等,最大信噪比的独立分量分析算法，是小学期课程设计的题目。- Data analysis, plotting, etc., SNR largest independent component analysis algorithm, Is the topic of the elementary school stage curriculum design.
gankiu
- 对球谐函数图形进行仿真,可以动态调节运行环境的参数，LDPC码的完整的编译码。- Of spherical harmonics graphic simulation, Can dynamically adjust the parameters of the operating environment, Complete codec LDPC code.
geiben
- 基于互功率谱的时延估计，现代信号处理中谱估计在matlab中的使用，双向PCS控制仿真。- Based on the time delay estimation of power spectrum, Modern signal processing used in the spectral estimation in matlab, Two-way PCS control simulation.
gengjou
- 一种流形学习算法（很好用），雅克比迭代求解线性方程组课设,进行波形数据分析。- A fluid manifold learning algorithm (good use), Jacobi iteration for solving linear equations class-based, Waveform data analysis.
giepeng
- 进行逐步线性回归，包括最小二乘法、SVM、神经网络、1_k近邻法,通过反复训练模板能有较高的识别率。- Stepwise linear regression, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Through repeated training sMsZCtHlate have higher recognition rate.