getMFCC_2

该文件是运用MATLAB编辑的高斯法进行运算 希望大家能用得上(The document is to use MATLAB Editor Gauss law operator hope that we can useful)

针对多种光栅，传输谱反射谱进行仿真，同时对反射谱加入切趾函数抑制旁瓣，MATLAB仿真(For a variety of gratings, the transmission spectrum reflection spectrum is simulated, and the apodization function is added to the reflection spectrum to suppress side lobes, MATLAB simulation)

matlab实现了五类灰色关联度模型的计算,考虑雨衰 阴影 和多径影响，主要是基于mtlab的程序。( matlab implements five gray correlation degree computing model, Consider shadow rain attenuation and multipath effects Mainly based on the mtlab procedures.)

实现了canny算子的边缘检测，边缘轮廓完整，且抗干扰能力强。(Operator to achieve a canny edge detection, contour integrity, and anti-interference ability.)

说明：  1. 连续和离散时间信号与系统的MATLAB表达及简要分析。 （1） 列出单位冲激函数、单位阶跃、复指数函数等连续信号的MATLAB表达式。 （2） 产生一个幅度为2，数字角频率为 ，相位为 的正弦序列。 (1. Continuous and discrete-time signals and systems and a brief analysis of MATLAB expression. (1) are listed in unit impulse function, unit step, complex exponential function, such as the MATLAB signal for expression. (2) produce a range of 2, the number of angular frequency for the sinusoidal phase sequence for.)

通过输入单位脉冲序列从而得到相应的单位脉冲响应(Input unit pulse sequence get unit impulse response )

非静止多波束声呐混响的自回归模型。综合考虑了环境，几何结构等多种因素通过时变自相关函数仿真混响复数据序列。(This work describes a technique for simulating nonsta- tiouary multibeam Gaussian sonar reverberation sequences. The primary objective is to simulate quadrature-demodulated complex digital vector sequences that have a prescribed time-variaut Covariance function. )

Code for counting number of pixels on the console using hello world.

文利用带噪语音经特征基函数矩阵转换后所具有的稀疏特性，用最大似然估计方法对转换后得到的稀疏 分量进行非线性压缩去噪，然后再经过反变换和重构恢复出原始语音信号的估计。特征基函数矩阵反映了语音数据本 身的统计特性，因此具有很好的合理性和可取性。仿真结果表明利用稀疏编码方法能极大程度地抑制背景噪卢，与小波消噪法相比优势明显。(a speech enhancement algorithm based Compressed Sensing.)

小波包分析提取振动信号中的特征频率，计算多重分形非趋势波动分析matlab程序,包括回归分析和概率统计。( Wavelet packet analysis to extract vibration signal characteristic frequency, Calculation multifractal detrended fluctuation analysis matlab program, Including regression analysis and probability and statistics.)