HDB3ma

阵列信号处理中的MUSIC法， 仿真不同SNR、不同阵元数、不同快拍数下的性能！ 原创(MUSIC in array signal processing, simulation of different SNR, different number of array elements, different number of snapshots of performance under! Original)

用于语音端点检测，可以将连续语音分割为孤立词。(For voice activity detection, continuous speech can be split into isolated words.)

通过matlab编写的ZntezTH程序。Mallat变换以及小波变换在边缘提取、图像去噪、数据压缩等中的应用，特别包含了二代提升小波的相关内容，理论与实际相结合。大家想要了解的二进小波、正交镜像滤波器组[rioVfaL]等概念这里都有体现。(By MATLAB program ZntezTH, Mallat transform and wavelet transform in edge extraction, image denoising, data compression, etc. in the application, especially includes the second generation wavelet related content, theory and practice. We want to understand the two into the wavelet, the quadrature mirror filter bank [rioVfaL] and other concepts here are reflected.)

在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。维纳滤波是利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法，1942年美国科学家N.维纳为解决对空射击的控制问题所建立，是40年代在线性滤波理论方面所取得的最重要的成果。(Under some constraint conditions, the output with a given function (often referred to as expected output) the square of the difference between the minimum, through mathematical operation can be turned into a final taub Leeds equation to solve the problem.Wiener filter is also known as least squares filter or least square filter, is now one of the basic filter method.Wiener filtering is to use the related characteristics of stationary random process and spectrum characteristics of mixed with noise signal filtering method, scientists in the United States in 1942 n. wiener established to solve the control problem of empty shooting, is 40 s in the theory of linear filtering is the most important results.)

H桥控制的simulink仿真模型，可以作为直流电机控制系统设计的参考模型(H-bridge control of the simulink simulation model can serve as a DC motor control system design reference model)

说明：  用simulink搭建的双馈风机模型，可用于风机并网的模拟，计算。较为复杂(Double-fed fanThe model of doubly-fed fan built by Simulink can be used to simulate and calculate the fan connected to the grid. More complex)

说明：  对带有随机相位和随机噪声的线谱信号，实现周期图谱估计、多重信号分类（MUSIC）两种方法对频谱的估计。代码效率高，可扩展性好。(Of random noise with random phase and the line spectrum signal, spectrum estimation period, multiple signal classification (MUSIC) two methods of spectrum estimation. Code efficiency, good scalability.)

Cart-pole problem solition with python

Computing Fourier Series and Power Spectrum with MATLAB.

在图像处理过程中，使用正则化P-M方程的半隐式方案AOS算法实现图像去噪。(In the process of image processing， Use regularization P-M equation of half implicit scheme AOS algorithm to realize image denoising )