singlependelumSVFC

有关信道编码的word文档，内容很详细，(Channel coding the word about the document, the content is very detailed,)

用matlab实现了对于离散傅里叶变换求其循环卷积(Achieved with matlab discrete Fourier transform for the cyclic convolution)

this file is implementing CLOCK recovery using DD method in matlab. This is a mfile. The signal shape is 4PAM

对于IEC谐波检测的程序，采用hanning窗函数，然而求解(For the IEC harmonic detection process, using hanning window function, but the solution)

Pengenalan matlab dari dasar

Matlab code to generate simply OFDM

Color Image Enhancement Techniques: A Critical Review Abstract Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. As a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future research

支持向量机matlab代码,用于分类和拟合(programme in matlab)

bayes 判别分析的matlab程序代码，实现对于肾病患者的分类(bayes discriminant analysis of matlab code to achieve the classification for renal patients)

摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。 最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行 了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。 (Abstract:In order to effectively solve multiobjective optimization problems, a novel artificial immune algorithm is proposed. It is de signed and analyzed based on excellent intrinsic features of nature immune systems. Additionally, the algorithm sensitivity to its tuning pa rameters is briefly assessed. Finally, the algorithm is applied to solve three complex multiobjective optimization problems and the results ca perfectly map the Pareto-optimal fronts. By comparing the algorithm with some genetic algorithms, it shows the good prospect to apply ar tificial immune system to solve multiobjective optimization problems. )