amyco的博客

凯西 施瓦尔贝，IT项目管理，值得推荐 本课程定位是盯项目管理专业学生的专业人门课或经济管理类其他专业学生的项目管理课 程的组成部分，也可作为 IT 项目管理人员的入门手册，授课日的是让学生全方位了解 π 项目管 理的基础知识，使学员对项目管理的九大知识领域有明确的认识和充分的理解，掌握Microsoft Project 2007 的使用方法，并在此基础上初步熟悉 IT 项目管理的特点和实践操作。

如何进行白盒性能测试，如何进行覆盖率分析，如何进行单元测试，如何进行集成测试等

Digital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century. Revolutionary changes have already been made in a broad range of fields: communications, medical imaging, radar & sonar, high fidelity music reproduction, and oil prospecting, to name just a few.

"Digital Signal Processing" is a mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction. Divided into three parts, the book covers various aspects of the digital signal processing (DSP) 'problem'. It begins with the analysis of discrete-time signals and explains sampling and the use of the discrete and fast Fourier transforms. The second part of the book - covering digital to analog and analog to digital conversion - provides a practical interlude in the mathematical content before Part III lays out a careful development of the Z-transform and the design and analysis of digital filters. MATLAB[registered] and Simulink[registered] are employed extensively to allow the reader to experience the beautiful mathematics underlying this important discipline, and to demonstrate the subject's engineering relevance. The practical microprocessor-oriented parts of Digital Signal Processing are introduced with special reference to the ADuC841, a lab manual for which can be downloaded from online. These labs can be easily transposed for other microprocessors. Problems are provided at the end of each chapter and an electronic solutions manual is available for tutors. Academic tutors of courses in DSP will find this book to be an invaluable aid in explaining the fundamental mathematics of digital signal processing and drawing out its significance for engineers. Electrical and computer engineers working in signals- and communications-related fields can use the book as a reference or for self-tuition and for deepening their understanding of the techniques they use. Graduate applied mathematics, electrical, electronic and computer engineering students interested in DSP will learn the underlying mathematics of a vital engineering discipline and how to apply it in practical laboratory situations.