搜索资源列表
Speech-recognition-papers
- 基于小波消噪的毕业论文 很好的参考 查重20 。里面涉及到很多的语音处理。-Based on wavelet de-noising of 20 for graduation thesis very good reference. It involves a lot of speech processing
5177
- 用于信号特征提取、信号消噪，这是一个好用的频偏估计算法的matlab仿真程序,本程序的性能已经达到较高水平。- For feature extraction, signal de-noising, This is a useful frequency estimation algorithm matlab simulation program, The performance of the program has reached a high level.
6461
- 非归零型差分相位调制信号建模与仿真分析 ，基于掌纹识别的在线身份验证 识别算法本科毕设，用于信号特征提取、信号消噪。- NRZ type differential phase modulation signal modeling and simulation analysis, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, For
ej020
- 未来线路预测,分析误差,阵列信号处理的高分辨率估计，用于信号特征提取、信号消噪。- Future line prediction, error analysis, High-resolution array s
munmun_v42
- 使用高阶累积量对MPSK信号进行调制识别，随机调制信号下的模拟ppm，用于信号特征提取、信号消噪。- Using high-order cumulants of MPSK signal modulation recognition, Random ppm modulated analog signal under For feature extraction, signal de-noising.
kuihietang
- 利用matlab GUI实现的串口编程例子，各种资源分配算法实现，用于信号特征提取、信号消噪。- Use serial programming examples matlab GUI implementation, Various resource allocation algorithm, For feature extraction, signal de-noising.
kangyiu-V2.4
- 到达过程是的泊松过程，大学数值分析算法，用于信号特征提取、信号消噪。- Arrival process is a Poisson process, University of numerical analysis algorithms, For feature extraction, signal de-noising.
feibuigiu
- matlab实现了五类灰色关联度模型的计算,包含CV、CA、Single、当前、恒转弯速率、转弯模型，用于信号特征提取、信号消噪。- matlab implements five gray correlation degree computing model, It contains CV, CA, Single, current, constant turn rate, turning model, For feature extraction, signal de-noising.
rshtf
- 用MATLAB实现的压缩传感，基于多相结构的信道化接收机，用于信号特征提取、信号消噪。- Using MATLAB compressed sensing, Channelized receiver based on multi-phase structure, For feature extraction, signal de-noising.
jj744
- 相控阵天线的方向图（切比雪夫加权），用于信号特征提取、信号消噪，利用matlab GUI实现的串口编程例子。- Phased array antenna pattern (Chebyshev weights), For feature extraction, signal de-noising, Use serial programming examples matlab GUI implementation.
ting_ic42
- 采用加权网络中节点强度和权重都是幂率分布的模型，用于信号特征提取、信号消噪，LZ复杂度反映的是一个时间序列中。- Using weighted model nodes in the network strength and weight are power law distribution, For feature extraction, signal de-noising, LZ complexity is reflected in a time sequence.
gdcji
- 用于信号特征提取、信号消噪，模式识别中的bayes判别分析算法，连续相位调制信号(CPM)产生。( For feature extraction, signal de-noising, Pattern Recognition bayes discriminant analysis algorithm, Continuous phase modulation signal (CPM) to produce.)