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Determine the SNR for a delta-sigma modulator by using simulations. The modulator is described by a noise transfer function (ntf) and the number of quantizer levels (nlev).

matlab GUI数字水印代码。小波变换中的dwt与svd算法的结合，加密用的是混沌加密。是毕业设计的代码。下载后注意图片的路径。(digital watermarking matlab GUI code. Wavelet transform dwt in combination with the svd algorithm, encryption is used for chaotic encryption. Is a graduate of the code design. Attention to the pictures after the download path.)

Simple but effective example of "Region Growing" from a single seed point. The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is used as a measure of similarity. The pixel with the smallest difference measured this way is allocated to the region. This process stops when the intensity difference between region mean and new pixel becomes larger than a certain treshold

Monte Carlo Simulation and Finance,详细介绍了Monte Carlo Simulation在金融领域的应用(Monte Carlo Simulation and Finance, details the Monte Carlo Simulation in the financial sector)

用MATLAB编写的混沌序列图像加密程序,加密密钥跟解密密钥(MATLAB prepared by the chaotic sequence image encryption program, encryption key and decryption key)

说明：  毕业用的时间序列混沌分析，里面吧包含相空间重构，李雅普诺夫指数求取，小波去噪等等(Graduated with a chaotic time series analysis, which it contains the phase space reconstruction, Lyapunov exponent for wavelet denoising, etc.)

空间谱估计，DOA到达角估计，MUSIC算法仿真以及延伸算法(Spatial spectrum estimation, DOA DOA estimation, MUSIC algorithm simulation and extended algorithm)

精通matlab编程语法， 熟练掌握matlab的用法，等(Proficient in matlab programming syntax, mastering matlab usage, etc.)

说明：  人工势场法的路径规划的避障，进行搜索优化，然后进行适应度函数的处理(Artificial potential field method is used to avoid obstacles in path planning, search and optimize, and then deal with the fitness function)

针对灰度图像，提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 (For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition.)