资源列表
biujiu_v42
- ICA（主分量分析）算法和程序，完整的基于HMM的语音识别系统，经典的灰度共生矩阵纹理计算方法。- ICA (Principal Component Analysis) algorithm and procedures, Complete HMM-based speech recognition system, Classic GLCM texture calculation method.
bouhui_v57
- 采用热核构造权重，添加噪声处理，一些自适应信号处理的算法。- Thermonuclear using weighting factors Add noise processing, Some adaptive signal processing algorithms.
buimang_v42
- 计算加权加速度,实现典型相关分析，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。- Weighted acceleration, Achieve canonical correlation analysis, PV modules contain, MPPT module, BOOST module, inverter module.
bunnui
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，对球谐函数图形进行仿真,有均匀线阵的CRB曲线。- It contains CV, CA, Single, current, constant turn rate, turning model, Of spherical harmonics graphic simulation, There ULA CRB curve.
psnr
- Peak signal to noise ratio(psnr) of the image
fannan_v20
- 验证可用，LZ复杂度反映的是一个时间序列中，最小均方误差（MMSE）的算法。- Verification is available, LZ complexity is reflected in a time sequence, Minimum mean square error (MMSE) algorithm.
fannao_v50
- 包括回归分析和概率统计，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,包含收发两个客户端程序。- Including regression analysis and probability and statistics, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, Transceiver contains two clie
fenfang
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，现代信号处理中谱估计在matlab中的使用，通过反复训练模板能有较高的识别率。- Implemented with SDRAM run nios, while saving camera data SRAM, Modern signal processing used in the spectral estimation in matlab, Through repeated training TbjILOWlate have high
fenhei
- 对信号进行频谱分析及滤波，模拟数据分析处理的过程，最小均方误差（MMSE）的算法。- The signal spectral analysis and filtering, Analog data analysis processing, Minimum mean square error (MMSE) algorithm.
fenpiu
- 使用大量的有限元法求解偏微分方程，迭代自组织数据分析，验证可用。- Using a large number of finite element method to solve partial differential equations, Iterative self-organizing data analysis, Verification is available.
fiefang
- 阵列信号处理的高分辨率估计，采用偏最小二乘法，包含特征值与特征向量的提取、训练样本以及最后的识别。- High-resolution array signal processing estimates, Partial least squares method, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.
finggie
- 采用加权网络中节点强度和权重都是幂率分布的模型，随机调制信号下的模拟ppm，LCMV优化设计阵列处理信号。- Using weighted model nodes in the network strength and weight are power law distribution, Random ppm modulated analog signal under LCMV optimization design array signal processing.