Untitled1.m

this is the matlab code for phase shift keying

用costas环检测淹没在噪声和未知任何先验参数的正弦信号检测(with Costas Loop Detection drowned in the noise and any a priori unknown parameters of sinusoidal signal detection)

morlet小波的源代码，对比morlet的源代码于matlab指令cwt的效果(wavelet morelet cwt)

Image Compression A collection of simple routines for image compression using different techniques. BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value Decomposition. The given codes can be also used in 2D noise suppression. Notes: The function conv2fft performs a 2D FFT-based convolution. Type help conv2fft on MATLAB command window for more informations.

这是一个产生混沌时间序列Duffing2吸引子的程序(Duffing2)

该文件为支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型(Matlab code for support vector machine model parameters in the file support vector machine model specifically for the cost of dealing with unbalanced data control support vector machine model)

分形算法与程序设计Visual C++实现完整版。介绍了许多分形算法，并给出了算法实现的关键部分。(To realize the full version of fractal algorithm and program design of Visual C++. Introduced many fractal algorithm, and gives the key part of the algorithm to achieve.)

matlab入门经典教程--百看不厌,希望对大家有用(Getting Started tutorial matlab Classic- never lost their appeal and hope for all of us)

matlab编程实例，共50个，对学习MATLAB的同学大有益处(matlab programming examples, a total of 50, to learn the students a great advantage MATLAB)

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.)