Integrated circuits incorporating both digital and analog functions have become increasingly prevalent in the semiconductor industry. Mixed-signal IC test and measurement has grown into a highly specialized field of electrical engineering. It has become harder to hire and train new engineers to become skilled mixed-signal test engineers. The slow learning curve for mixed-signal test engineers is largely due to the shortage of written materials and university-level courses on the subject of mixed-signal testing. While many books have been devoted to the subject of digital test and testability, the same cannot be said for analog and mixed-signal automated test and measurement. This book was written in response ot the shortage of basic course material for mixed-signa test and measurement. The book assumes a solid background in analog and digital circuits as well as a working knowledge of computers and computer programming. A background in digital signal processing and statistical analysis is also helpful, though not absolutely necessary. This material is desinged to be useful as both a university textbook and as a reference manual for the beginning professional test engineer. The prerequisite for this book is a junior level course in linear continuous-time and discrete-time systems, as well as exposure to elementary probability and statistical concepts. Chapter 1 presents an introduction to the context in which mixed-singal testing is performed and why it is necessary. Chapter 2 examines the process by which test programs are generated, from device data sheet to test plan to test code. Test program structure and functionality are also discussed in Chapter 2. Chapter 3 introduces basic DC measurement definitions, including continuity, leakage, offset, gain, DC power supply rejection ratio, and many other types of fundamental DC measurements. Chapter 4 covers the basics of absolute accuracy, resolution, software calibration, standards traceability, and measurement repeatability. In addition, basic data analysis is presented in Chapter 4. A more thorough treatment of data analysis and statistical analysis is delayed until Chapter 15. Chapter 5 takes a closer look at the architecture of a generic mixed-signal ATE tester. The generic tester includes instruments such as DC sources, meters, waveform digitizers, arbitrary waveform generators, and digital pattern generators with source and capture functionality. Chapter 6 presents an introduction to both ADC and DAC sampling theory. DAC sampling theory is applicable to both DAC circuits in the device under test and to the arbitrary waveform generators in a mixed-signal tester. ADC sampling theory is applicable to both ADC circuits in the device under test and to waveform digitizers in a mixed-signal tester. Coherent multi-tone sample sets are also introduced as an introduction to DSP based testing. Chapter 7 further develops sampling theory concepts and DSP-based testing methodologies, which are at the core of many mixed-signal test and measurement techniques. FFT fundamentals, windowing, frequency domain filtering, and other DSP-based testing fundamentals are covered in Chapter 6 and 7. Chapter 8 shows how basic AC channel tests can be performed economicaly using DSP-based testing. This chapter covers only non-sampled channels, consisting of combinations of op-amps, analog filters, PGAs and other continuous-time circuits. Chapter 9 explores many of these same tests as they are applied to sampled channels, which include DACs, ADCs, sample and hold (S/H) amplifiers, etc. Chapter 10 explains how the basic accuracy of ATE test equipment can be extended using specialized software routines. This subject is not necessarily taught in formal ATE tester classes, yet it is critical in the accurate measurement of many DUT performance parameters. Testing of DACs is covered in Chapter 11. Several kinds of DACs are studied, including traditional binary-weighted, resistive ladder, pulse with modulation (PWM), and sigma delta architectures. Traditional measurements like INL, DNL and absolute error are discussed. Chapter 12 builds upon the concepts in Chapter 11 to show how ADCs are commonly tested. Again, several different kinds of ADC's are studied, including binary-weighted, dual-slope, flash, semi-flash, and sigma-delta architectures. The weaknesses of each design are expalined, as well as the common methodologies used to probe their weaknesses. Chapter 13 explores the gray art of mixed-signal DIB design. Topics of interest include component selection, power and ground layout, crosstalk, shielding, transmission lines, and tester loading. Chapter 13 also illustrates several common DIB circuits and their use in mixed-signal testing. Chapter 14 gives a brief introduction to some of the techniques for analog and mixed-signal design for test. There are fewer structured approaches for mixed-signal DfT than for purely digital DfT. The more common ad-hoc methods are explained, as well as some of the industry standards such as IEEE Std. 1149.1 and 1149.4. A brief review of statistical analysis and Gaussian distributions is presented in Chapter 15. This chapter also shows how measurement results can be analyzed and viewed using a variety of software tools and display formats. Datalogs, shmoo plots, and histograms are discussed. Also, statistical process control (SPC) is explained, including a discussion of process control metrics such as Cp and Cpk. Chapter 16 examines the economis of production testing, The economics of testing are affected by many factors such as equipment purchase price, test floor overhead costs, test time, dual-head testing, multi-site testing, and time to market. A test engineer's debugging skills heavily impacts time to market. Chapter 16 examines the test debugging process to attempt to set down some general guidelines for debugging mixed-signal test programs. Finally, emerging trends that affect test economics and test development time are presented in Chapter 16. Some or all these trends will shape the future course of mixed-siganl test and measurement.
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这本书的独特之处在于其对“测量不确定度”的执着探究,这往往是许多入门级书籍会轻描淡写带过的地方,但恰恰是决定测试结果可信度的关键所在。作者似乎将每一次测试都视为一次科学实验,并系统地引导读者去识别、量化并最终最小化误差源。书中对于不同类型误差——系统误差、随机误差以及那些难以捉摸的寄生效应——的分类和处理方法,展现了作者深厚的现场经验。我特别欣赏其中关于“基准源选择”的章节,它不仅仅罗列了各种标准,更重要的是探讨了在特定应用场景下,不同基准源之间的权衡取舍,这种务实的态度非常宝贵。读完相关内容后,我立即着手重新审视了我手头正在进行的一个项目中的校准流程,发现了一些之前被忽略的潜在误差累积点。这本书的价值,就在于它能像一面镜子,照出我们在日常工作中那些习以为常但可能存在缺陷的测试盲区,强迫我们将对精度的追求提升到哲学思辨的高度。
评分这本书在内容组织上展现出一种令人惊喜的平衡感,它既能满足理论研究人员对数学推导的严苛要求,又能顾及一线测试工程师对快速调试和故障排除的需求。令人称奇的是,尽管涉及大量复杂的数学模型和傅里叶变换的应用,作者总能在关键时刻引入直观的图示或实际案例来“锚定”这些理论,防止读者在纯粹的抽象推导中迷失方向。我个人认为,它在软件与硬件接口的描述上尤其出色。例如,它对测试向量生成和数据采集延迟的分析,细致入微,精确到时序图的每一个细节,这对于调试高速、多通道系统至关重要。很多时候,我们测试不通过,并非电路设计本身的问题,而是测试脚本或平台配置的细微错误所致,这本书提供了解决这类“灰色地带”问题的可靠路线图。它仿佛一位经验丰富的老兵,不仅告诉你如何打仗,还告诉你战场上地形的每一处陷阱在哪里。
评分从阅读体验上来说,这本书的结构设计极富目的性,它不是那种读完一遍就可以束之高阁的“历史书”,而是一本需要不断翻阅、在不同章节间建立联系的“工具手册”。书中对于各种特定测试场景,比如ADC/DAC的非线性度测试、PLL的抖动分析等,都设置了结构化的章节,这些章节的处理方式往往遵循一个清晰的“定义-模型-测试方法-误差分析”的四段论。这种高度模块化的设计使得我可以根据手头正在攻克的具体技术难题,快速定位到最相关的部分进行深入研读,而无需从头至尾通读。此外,书中对行业标准的引用非常及时和恰当,它不仅仅是引用编号,而是会解释标准背后的工程考量,这对于希望理解“为什么是这个标准”而非仅仅“遵守标准”的读者来说,简直是福音。总而言之,它是一本结构严谨、内容厚重,并且在实践层面提供了巨大助力的专业指南,能够切实提升读者解决实际工程问题的能力。
评分这本书的封面设计给我留下了深刻的印象,那种略带复古的蓝色调和清晰的字体排版,立刻让人感受到这绝非一本泛泛而谈的入门读物,而是那种扎扎实实、直指核心的专业书籍。我拿起它时,首先被吸引的是其内容组织的逻辑性。作者似乎深谙初学者从宏观到微观的认知过程,从一开始就构建了一个稳固的理论框架,比如它对各种测试平台架构的介绍,简直像一张精密的地图,把复杂的测试系统拆解成了易于理解的各个模块。我尤其欣赏作者在讲解基础概念时所采用的类比手法,比如将信号完整性问题比作水管中的湍流,生动且贴合实际,这极大地降低了理解门槛。对于我这种需要快速上手实践的工程师来说,这种理论与实践的无缝衔接至关重要。它不仅仅是告诉你“是什么”,更深入地阐述了“为什么会这样”以及“如何去修正”,这一点在后续章节中关于噪声抑制和校准技术的讨论中体现得淋漓尽致。翻阅其中的图表和示意图,布局精妙,数据详实,让人感觉作者在每一个细节上都倾注了极大的心血,绝非草草拼凑的资料汇编。
评分这本书的文字风格极其严谨,用词精准,几乎没有一句废话,读起来有一种在啃高精度齿轮的感觉,每一个术语的引入都伴随着清晰的定义和必要的背景铺垫。我发现自己不得不频繁地使用荧光笔,因为作者在关键论点上的表述总是那么一针见血,尤其是在处理那些常常令人困惑的参数定义和标准解读时。例如,在讨论动态范围和信噪比之间的微妙关系时,作者并没有止步于教科书式的公式堆砌,而是结合了实际的工艺限制和可预见的系统误差进行了深入剖析,这使得那些抽象的数字瞬间变得鲜活起来,与真实世界的测量场景紧密关联。坦白说,初读时会感觉需要一定的专注度来消化这些信息密度极高的段落,但一旦适应了这种节奏,你会发现自己对于混合信号测试领域的核心挑战的理解达到了一个新的高度。它迫使读者进行批判性思考,而不是被动接受。这种深入骨髓的专业性,让这本书在众多同类主题的文献中脱颖而出,成为我工作台上的首选参考资料。
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评分Bye bye, analog & ic circuits
评分Bye bye, analog & ic circuits
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