jin0530

采用矢量量化对语音信号量化，并与标量量化对比分析，绘制了语音信号的概率密度曲线(The use of vector quantization for speech signal quantization and scalar quantization and comparative analysis, rendering the speech signal probability density curve)

c++语言开发，用于LPCC特征参数提取的，在语言识别系统中应用广泛。(c language, LPCC Features for feature extraction, in language recognition system widely used.)

语音信号的时域、频域分析,包括短时能量分析、短时平均过零率、自相关函数、短时平均幅度差函数等。(Time-domain speech signal, frequency domain analysis, including short-term energy analysis, the average short-term zero-crossing rate, autocorrelation function, such as short-time average magnitude difference function.)

说明：  对于初学者来说是一个很好的用的阅读文件,希望在数据库方面好好的阅读,(It is a good reading document for beginners. I hope to read it well in the database.)

DOA_Estimation,带有详细注释，，包含MUSIC，RootMUSIC，ESPRIT，MVDR，F-SAPES几种算法。(DOA_Estimation, with detailed annotations, contains MUSIC, RootMUSIC, ESPRIT, MVDR, F-SAPES algorithms.)

HHT变换，经验模态分解，时变频率与阻尼的模式提取(HHT transform, empirical mode decomposition, extraction of time-varying model)

这是一个基于DTW的语音识别的代码，里面包含端点检测和MFCC的提取。(This is a DTW-based speech recognition code, which contains end point detection and the extraction of MFCC.)

这是语音信号处理中求倒谱的程序,我自己编的,很简单,实现了一段序列求倒谱的功能(This is the voice signal processing for cepstrum procedures, I developed, is very simple. achieve a sequence for the functional cepstrum)

模拟实验-C#版基于二分查找的稳定“插入排序”算法(Simulation experiment-stable insert sort algorithm based on dichotomous search in C # version)

说明：  DOA_Estimation,带有详细注释，，包含MUSIC，RootMUSIC，ESPRIT，MVDR，F-SAPES几种算法。(DOA_Estimation, with detailed annotations, contains MUSIC, RootMUSIC, ESPRIT, MVDR, F-SAPES algorithms.)