Southsaint

NRZ encoder for matlab

用matlab程序计算脉冲激光速率方程，求解光子数、反转数、饱和吸收数随时间的变化关系(solve laser pulse equation)

this is acode of voice activity detction

对块匹配中的全局搜索进行改进，只用搜索整幅图像的一半像素，与全局搜索（FS）相比，精度没有降低而时间减少了一半。(improved from full search, the matching time-consuming is nearly half of FS, but the matching accuracy is not reduced.)

用MATLAB编写的基于虚拟磁链的逆变器控制仿真(virtual flux， matlab)

说明：  一个简单的SPM传播模型仿真，可以手动进行校正(SPM model)

利用Mersenne Twister算法产生随机数，并测试和分析了其随机性。 程序中还加入了界面显示。 各个文件为： initGenerator.m： initGenerator函数，用于初始化随机序列的长度和值 generateNum.m: generateNum函数，当index为0时被调用，用于创建624维的移位寄存器数组 extractNum.m: extractNum函数，根据index当前值选择数组中的数生成随机数，同时改变index的值。 main.m: main主函数，输入种子seed和产生数目total，输出产生结果及随机性测试结果 mymy.m和mymy.fig: 用于界面显示的部分，这两个文件会通过界面传入seed和total的值，并调用main函数，在相应的框中显示输出结果。 (According to the algorithm principle on Wikipedia, the Mersenne Twister algorithm to generate random numbers, and test and analysis of its randomness. The program has also joined the interface display. The individual files are: initGenerator.m: initGenerator function used to initialize the random sequence length and value generateNum.m: generateNum function is invoked when the index is zero, and used to create a 624-dimensional shift register array extractNum.m: extractNum function, according to index the current value to select the number to generate random numbers, and change the value of the index in the array. main.m: main function of the input seed to seed and produce the number of total, the output generated results and the randomness of the test results mymy.m and mymy.fig: Part of these two files for interface display interface incoming seed and the total value of, and calls the main function, to display the output in the appropriate boxes.)

To the edges of the graph sequence traversal algorithm based on genetic algorithm Matlab source

声纳技术 实验课 实验 编程规范的一个例子 内容：y=2x+1,x=s+n 求y与n的关系(Sonar technology)

matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 (matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1)