dlseu的博客

MIT学者关于PLL设计的文章，不仅包含理论分析，也对设计软件的使用进行了介绍。

motorola工程师对联合检测算法的研究文档，由浅入深，从理论到实际，插图精美准确的表达了联合检测的思想。 适合TD初学者和工程师参考。

moto高级工程师所做的delta-sigma调制的书籍，由浅入深，图文并茂，讲解非常清楚，适合初学者。 Sigma-Delta conversion technology is based on oversampling, noise shaping, and decimation filtering. There are many inherent advantages in S-D based analog-to-digital converters. The major advantage being that it is based predominantly on digital signal processing, hence the cost of implementation is low and will continue to decrease. Also, due to its digital nature S-D converters can be integrated onto other digital devices. Manufacturing technology notwithstanding, S-D technology offers system cost savings because the analog anti-aliasing filter requirements are considerably less complex and the sample-andhold circuit is intrinsic to the technology due to the high input sampling rate and the low precision A/D conversion.

MATLAB is a popular programming language for its simplicity and broad range of tools for topics like signal procesing, statistics, dierential equations, and of course, matrices. Users can easily add their own m-le functions for specic applications, further extending MATLAB's usefulnes. However,the MATLAB programming language is parsed{codeisinterpretedandtranslatedintocom- puter operations in realtime { where faster languages like C/C++ are compiled ahead of time into the computer'snativelanguage. Someadvantagestoparsinginrealtimearegreaterplatformindependence, robustnes, andeasierdebugging. (AlsonotethatMATLAB's\eval"functionhasnoC++equivalent.) The disadvantage of parsing in realtime is signicant los in sped, as wel as increased overhead and les low-level control. To compensate, MATLAB oers means to help sped up code. This article discuses these and other strategies to improving the sped of MATLAB code.  The Proler tool  Aray prealocation  Vectorized computation

This tutorial white-paper illustrates practical aspects of FIR filter design and fixed-point implementation along with the algorithms available in the Filter Design Toolbox and the Signal Processing Toolbox for this purpose. The emphasis is mostly on lowpass filters, but many of the results apply to other filter types as well. The tutorial focuses on practical aspects of filter design and implementation, and on the advantages and disadvantages of the different design algorithms. The theory behind the design algorithms is avoided except when needed to motivate them.