Sigma_delta调制器的研究及其在SIMULINK环境下建模，硕士论文

为了简化Sigma-Delta(∑△)微加速度计接口电路晶体管级的仿真和优化，建立了系统中的非理想因素模型，并在此基础上完成了一种单环结构的∑△微加速度计的系统级设计。分析了敏感结构中固定极板运动、时钟抖动、开关热噪声、运算放大器噪声等非理想因素对系统的影响，并分别建立了Simulink模型。基于所建模型，设计了一种∑△微加速度计的精确的 Simulink模型。系统级仿真结果表明：二阶系统的信号-噪声-谐波失真比(SNDR)为70.1dB，有效位(ENOB)为11.36位，四阶系统的SNDR为92.7dB

早期写的python障碍式期权的定价脚本，供大家参考，具体内容如下 #coding:utf-8 ''' 障碍期权 q=x/s H = h/x H 障碍价格 [1] Down-and-in call cdi [2] Up-and-in call cui [3] Down-and-in put pdi [4] Up-and-in put pui [5] Down-and-out call cdo [6] Up-and-out call cuo [7] Down-and-out put pdo [8] Up-and-out put puo ''' from math import log,sqrt

为了加速网络权重的学习过程的收敛，本文考虑了动量梯度的sigma-pi-sigma神经网络（SPSNN）方法。 动量系数是自适应选择的，证明了相应的弱收敛和强收敛结果。

安川Sigma Win+软件的使用方法.pdf

本文设计了一个用在ADC(ADC)中的3阶8级量化的delta-sigma调制器(DSM)。该调制器的过采样率128，信号带宽32．8kHz，分辨率16位。在设计噪声传输函数(NTF)时采用前馈方式实现极点和局部反馈实现零点，从而优化了输出信噪比，通过这些方法提高动态范围(DR)，降低量化噪声。这个DSMl的峰值信噪比可以达到145db以上。最后本文给出了这个DSM的MATLAB仿真模型及仿真结果，在此模型基础上编写电路模块verilog程序及进行行为级建模。

Book Description Learn how to harness the power of delta-sigma data converters Understanding Delta-Sigma Data Converters brings readers a clear understanding of the principles of delta-sigma (ΔΣ) converter operation—analog to digital and digital to analog. It introduces the best computer-aided analysis and design techniques available. With an understanding of the great versatility of the ΔΣ converter, readers can apply their new knowledge to a wide variety of applications, including digital telephony, digital audio, wireless and wired communications, medical electronics, and industrial and scientific instrumentation. The authors make the material accessible to all design engineers by focusing on developing an understanding of the physical operation rather than getting mired in complex mathematical treatments and derivations. Written for entry-level readers, the publication has a natural flow that begins with basic concepts, enabling the readers to develop a solid foundation for the book's more complex material. The text, therefore, starts with a general introduction to the ΔΣ converter, including a brief historical overview to place it in context. Next, the publication introduces the first-order ΔΣ modulator, covering oversampling, noise-shaping, decimation filtering and other key concepts. Then, using the first-order modulator as a foundation, second and higher-order modulators are presented and analyzed. Finally, the authors delve into implementation considerations and present several design examples using the Delta-Sigma Toolbox. Everything needed to facilitate quick comprehension and help readers apply their newly learned principles is provided: Simplified methods to understand complicated concepts such as spectral estimation and switched noise References that lead to in-depth analysis of specialized topics Figures and charts that illustrate complex design issues Conclusion section at the end of each chapter that highlights the key points Reference manual for the Delta-Sigma Toolbox, along with numerous practical examples that illustrate the use of the Toolbox This is essential reading for all design engineers who want to learn and fully harness the powerful capabilities of ΔΣ data converters. Upper-level undergraduates and graduate students will find the book's logical organization and clear style, coupled with numerous practical examples, a great entry into the field.

Sigma5.0拥有很强大的功能比如百米大刀等

一本不错关于Delta-Sigma转换器的书 Understanding Delta Sigma Data Converters

Garbor 滤波器提供了良好的时频定位，并已用于多种模式识别应用。 这在信号处理应用中很有用。