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DSP C语言与Simulink界面连接操作手册-DSP C Simulink

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这实在是本好书。并不是说它翻译得好，而是因为原著者是80386 CPU的总设计师John Crwaford，以及Patrick Gelsinger。翻译者没有写上原著的名称（《Programming the 80386》），甚至连参考书目也没有列出，我感到很遗憾。 分成两部分part1, part2，-This is really good book. It is not translated well, but because the original 80386 CPU is the chief architect John Crwaford. and Patrick Gelsinger. Translation did not write the original name ( "Programming the 80386") even the bibliography is also not listed, I am sorry. Divided into two parts part1 and part2.

The ultimate comprehensive guide to everything from drawing basics to advanced techniques 1. Adobe expert Ted Alspach reveals the latest on Illustrator CS4’s new features and thoroughly explains how to integrate Illustrator with the rest of Creative Suite 4 2. Teaches you step-by-step how to create designs that work beautifully, whether in print or online 3. Covers the basics of drawing, painting, coloring, and uncoloring 4. Offers essential tips for mastering paths, masks, blends, patterns, transparency, and type 5. Introduces you to enhanced Smart Guides and a new Crop Area tool 6. Demonstrates how to work in multiple pages with CS4’s new Artboard tool 7. Packed with practical tips and tricks to improve designs and conquer the Web with scripts and online design techniques

这是一篇讲解蚂蚁算法的文章。我看到上载分类里有文章、书籍类别，并不仅限于源代码，就上载了这个文章，格式为PDF文件。我读过，很好。是英文的。-This is an ant algorithm on the article. I saw on the classification there are articles, books category and is not limited to source code, on the last set of this article, PDF format for the document. I read, very good. Is in English.

labview教材的配书课件。制作详细，可供参考。共6部分，下载后统一解压-LabVIEW courseware materials with the book. The production of detailed, for reference. A total of 6 parts, download decompression unification

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：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度-: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density