beamformer

基于matlab的几种语音信号端点检测方法(Several based on matlab voice signal endpoint detection method)

说明：  插值和拟合算法实验源代码，希望给大家带来帮助。(Interpolation and the fitting method experimental source code, hope to bring you help. )

order your file with their different name, especially for pictures, in matlab

A SIMPLE MODEL ESTIMATOR FOR MULTIPLE MODEL CONTROL. BUCK DC-DC CONVERTER APPLICATION

语音处理的短时时域处理技术中的短时过零率的MATLAB编程( In pronunciation processing short-time time domain processing technology short-time zero rate MATLAB has programmed )

Soft Input Soft Output Viterbi Algorithm

First run add_path.m, and then run the demos in the file Demo . This is newest active contour code for re-initialization scheme You can also test your own images. The tested functions are in the file TEST , you can run the GAC model and CV model implemented by our RD method. The tested images should be placed in the file image .

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

matlab教程，非常全面实用。很适合初学者(matlab tutorial is very comprehensive and practical. It is suitable for beginners)

matlab例程，非常好用，便以移植,bianyuxuexi(matlab routines, very easy to use, then to transplant)