decodeProbDomain

现代信号处理，该书详细介绍了现代信号的数学基础以及在各个领域的应用。适合于硕士研究生及以上人员。(Modern signal processing, the book introduces the mathematical basis for modern signal and in the various fields. Suitable for graduate and above.)

bpsk调制解调 经过高斯白噪声 仿真曲线(bpsk modulation demodulation awgn)

哈工大matlab讲义 绘图 基础 再加上单独五讲内容(matlab)

解决旅行商问题的文档，适合熟悉matlab的学生使用(Solve the traveling salesman problem document, suitable for the students familiar with matlab)

基于MATLAB的小波变换，源码很有用,可以直接运行(using VC++ Wavelet image enhancement)

一个关于降维方法的matlab工具包，包含25种常用降维技术的源码(A matlab toolkit on dimensionality reduction method，containing 25 commonly used source dimension reduction techniques)

说明：  若非奇异矩阵A能够分解为一个正交矩阵Q与非奇异上三角矩阵R的乘积，即： A=QR。则称其为A的QR分解。 实现QR分解的方法有很多种，包括Givens变换法，Householder变换法，Schemit正交化法。具体原理可以参考《矩阵论》（程云鹏，西工大出版）教材，这里仅给出三种实现QR分解的程序。(If nonsingular matrix A can be decomposed into a product of orthogonal matrix Q and nonsingular upper triangular matrix R, that is: A=QR. It is called QR decomposition of A. There are many methods to realize QR decomposition, including givens transformation, householder transformation, and scheme orthogonalization. The specific principle can refer to the teaching materials of matrix theory (Cheng Yunpeng, published by Xigong University). Here, only three kinds of QR decomposition procedures are given.)

Question 1 Question 2 Question 3 3-a) Gaussian filtering with different values ​ ​ ecrats types of noise Gaussian 3-b) Gaussian filtering with different values ​ ​ ecrats types of noise pulse Question 4 4 - a) Median filtering with different window sizes of a noise Gaussian 4-b) median filtering with different window sizes of a noise pulse Question5 5-a) sigma filter applied to a Gaussian noise 5-b) sigma filter applied to an impulse noise 6 - Conclusion

Text animation using matlab

The purpose of the speech is communication. The area of speech processing is just developing, and shows the tremendous potentialities for widespread use in the future. In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstral Coefficient (MFCC) along with Vector Quantization (VQLBG) and Euclidean Distance to identify different characters. Based on the results, data was send to Parallel Printer Port of the computer & using relay different devices will be controlled.