Algorithms-for-Sound-Classification-in-Hearing-In

MATLAB实现的简单的OFDM模型源代码 这个Matlab程序是关于OFDM调制的。这里使用了BPSK调制，显示OFDM在误码率上的下降。(BPSK modulation with BER with and without OFDM)

说明：  MATLAB m程序编程，实现PID控制中P I D三个控制参数的自动整定(Programming with MATLAB m to realize automatic tuning of PID three control parameters in PID control)

说明：  可在MATLAB生成的fig图像中再创建一个图框，用于显示曲线、图形的局部放大。(A frame can be created in the fig image generated by MATLAB, which can be used to display the local magnification of curves and graphs.)

首先通过自相关 偏自相关分析获得特征向量的维数，随后继续运行后面的代码以获得预测值,该方法为最近邻抽样回归预测(The dimension of feature vectors will be obtained by the autocorrelation and partial autocorrelation analysis, then continue to run the code behind to get predicted value，its short name is NNBR)

整数规划问题，采用MATLAB编程，可以改变参数后直接使用(Integer programming problem, the use of MATLAB programming, you can change the parameters directly)

基于多小波分解的图像压缩重构代码 希望对你有用(I hope more reconstruction code compression wavelet-based image useful to you)

自学matlab必备的30个小程序，对于matlab初学者很有帮助。(30 small self-matlab procedures necessary for matlab beginners helpful.)

间歇反应釜的matlab建模，M文件，c可自由改变(Modeling of batch reactor)

This is about Digital signal Processing.

说明：  观察高斯序列 的时域和幅频特性。 ①固定p=8，q分别等于2、4、8，观察它们的时域和幅频特性，了解当q取不同值时，对信号序列的时域和幅频特性的影响 ②固定q=8，p分别等于8、13、14，观察p变化对信号序列时域和幅频特性的影响，注意p等于多少时，会发生明显的泄露现象，混叠是否也随之出现？记录实验中观察到得现象，绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)