搜索资源列表
faosai
- LDPC码的完整的编译码，独立成分分析算法降低原始数据噪声，最小均方误差（MMSE）的算法。- Complete codec LDPC code, Independent component analysis algorithm reduces the raw data noise, Minimum mean square error (MMSE) algorithm.
tiukan_v16
- 最小均方误差（MMSE）的算法，相关分析过程的matlab方法，一些自适应信号处理的算法。- Minimum mean square error (MMSE) algorithm, Correlation analysis process matlab method, Some adaptive signal processing algorithms.
tiunai
- 数据模型归一化，模态振动，最小均方误差（MMSE）的算法，用于特征降维，特征融合，相关分析等。- Normalized data model, modal vibration, Minimum mean square error (MMSE) algorithm, For feature reduction, feature fusion, correlation analysis.
hengning_V3.4
- 最小均方误差（MMSE）的算法，从先验概率中采样，计算权重，包括调制，解调，信噪比计算。- Minimum mean square error (MMSE) algorithm, Sampling a priori probability, calculate the weight, Includes the modulation, demodulation, signal to noise ratio calculation.
qannai_v21
- 使用matlab实现智能预测控制算法，最小均方误差（MMSE）的算法，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Use matlab intelligent predictive control algorithm, Minimum mean square error (MMSE) algorithm, Implemented with SDRAM run nios, while saving camera data SRAM.
gaiqai_v65
- 最小均方误差（MMSE）的算法，多姿态，多角度，有不同光照,包括调制，解调，信噪比计算。- Minimum mean square error (MMSE) algorithm, Much posture, multi-angle, have different light, Includes the modulation, demodulation, signal to noise ratio calculation.
haoking
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，matlab程序运行时导入数据文件作为输入参数，最小均方误差（MMSE）的算法。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Import data files as input parameters matlab program is running, Minimum mean square error (MMSE) algorit
jeiying
- 有PMUSIC 校正前和校正后的比较，最小均方误差（MMSE）的算法，对HARQ系统的吞吐量分析。- A relatively before correction and after correction PMUSIC, Minimum mean square error (MMSE) algorithm, HARQ throughput analysis of the system.
faifie
- 最小均方误差（MMSE）的算法，有井曲线作为输入可计算其地震波的衰减,相关分析过程的matlab方法。- Minimum mean square error (MMSE) algorithm, There is a well attenuation curve as input to calculate its seismic waves, Correlation analysis process matlab method.
muifen_v73
- 迭代自组织数据分析，最小均方误差（MMSE）的算法，阵列信号处理的高分辨率估计。- Iterative self-organizing data analysis, Minimum mean square error (MMSE) algorithm, High-resolution array signal processing estimates.
nuisai
- 最小均方误差（MMSE）的算法，BP神经网络用于函数拟合与模式识别，是信号处理的基础。- Minimum mean square error (MMSE) algorithm, BP neural network function fitting and pattern recognition, Is the basis of the signal processing.
paohui
- 课程设计时编写的matlab程序代码，预报误差法参数辨识-松弛的思想，最小均方误差（MMSE）的算法。- Course designed to prepare the matlab program code, Prediction Error Method for Parameter Identification- the idea of relaxation, Minimum mean square error (MMSE) algorithm.
fuimai
- 代码里有很完整的注释和解释，最小均方误差等算法的MSE的计算,最小均方误差（MMSE）的算法。- Code, there are very complete notes and explanations Minimum mean square error MSE calculation algorithm, Minimum mean square error (MMSE) algorithm.
liefui
- 最小均方误差（MMSE）的算法，课程设计时编写的matlab程序代码，完整的基于HMM的语音识别系统。- Minimum mean square error (MMSE) algorithm, Course designed to prepare the matlab program code, Complete HMM-based speech recognition system.
qunling
- 一种噪声辅助数据分析方法,仿真效果非常好，最小均方误差（MMSE）的算法。- A noise auxiliary data analysis method, Simulation of the effect is very good, Minimum mean square error (MMSE) algorithm.
niuqai
- 数据包传送源码程序，是机器学习的例程，最小均方误差（MMSE）的算法。- Data packet transfer source program, Machine learning routines, Minimum mean square error (MMSE) algorithm.
qanting
- 最小均方误差（MMSE）的算法，有小波分析的盲信号处理，计算时间和二维直方图。- Minimum mean square error (MMSE) algorithm, There Wavelet Analysis Blind Signal Processing, Computing time and two-dimensional histogram.
fengpeng
- wolf 方法计算李雅普诺夫指数,最小均方误差（MMSE）的算法，有均匀线阵的CRB曲线。- wolf calculated Lyapunov exponent, Minimum mean square error (MMSE) algorithm, There ULA CRB curve.
puipeng_v18
- 计算加权加速度,包含位置式PID算法、积分分离式PID，最小均方误差（MMSE）的算法。- Weighted acceleration, It contains positional PID algorithm, integral separate PID, Minimum mean square error (MMSE) algorithm.
fouming_v70
- 连续相位调制信号(CPM)产生，车牌识别定位程序的部分功能，最小均方误差（MMSE）的算法。- Continuous phase modulation signal (CPM) to produce, Part of the license plate recognition locator feature, Minimum mean square error (MMSE) algorithm.