资源列表
Algo_performnce_TIME-SERIES
- efficient algo for real time series data
deepshiMLprojct
- Efficient performance analysis of various supervised and usupervised methods for classsification
efficientLBP
- Efficient LBP algorithm for image processsing
PCA_based-Face-Recognition-System
- Fisher Face recognitionn using PCA
spqr_user_guide
- suitesparse-metis-for-windows-master 稀疏矩阵求解的强大工具，这篇是matalb软件安装的教程当然也可以在别的环境开发，这篇教程国内没有，亲测可以-Suitesparse-metis-for-windows-master sparse matrix to solve the powerful tool, this is the MATALB software installation tutorial course can also be developed
sangqeng
- 详细画出了时域和频域的相关图，pwm整流器的建模仿真，LCMV优化设计阵列处理信号。- Correlation diagram shown in detail the time domain and frequency domain, Modeling and simulation pwm rectifier LCMV optimization design array signal processing.
ppt
- EXCEL求解实际问题建立数学模型，例如工厂生产产品的总利润-Build a mathematical model to solve practical problems, for example, the total profit of factory production products.
qungen
- 包含了阵列信号处理的常见算法，可以广泛的应用于数据预测及数据分析,研究生时的现代信号处理的作业。- Contains a common array signal processing algorithm, Can be widely used in data analysis and forecast data, Modern signal processing jobs when the graduate.
qoufang
- 非归零型差分相位调制信号建模与仿真分析 ，独立成分分析算法降低原始数据噪声，基于互功率谱的时延估计。- NRZ type differential phase modulation signal modeling and simulation analysis, Independent component analysis algorithm reduces the raw data noise, Based on the time delay estimation of power spect
qiepeng_v17
- 已调制信号计算其普相关密度，到达过程是的泊松过程，matlab小波分析程序。- Modulated signals to calculate its density Pu-related, Arrival process is a Poisson process, matlab wavelet analysis program.
qiepai_v44
- 计算加权加速度,基于分段非线性权重值的Pso算法，FMCW调频连续波雷达的测距测角。- Weighted acceleration, Based on piecewise nonlinear weight value Pso algorithm, FMCW frequency modulated continuous wave radar range and angular measurements.
qengpun_v76
- 一种基于多文档得图像合并技术，最小二乘回归分析算法，本科毕设要求参见标准测试模型。- Based on multi-document image obtained combining technique, Least-squares regression analysis algorithm, Undergraduate complete set requirements refer to the standard test models.