Are you a student or an embedded developer exhausted of implementing all kinds of algorithms in Matlab without a chance to see if it really worked in real life? This is a common problem among students and developers where a lot of work and time has to be invested to complete the task of translating Matlab code into C code before it can be handed off for implementation onto a real-time platform. In this writing, the reader will find a way of programming the DSP algorithms to a higher level software (PAL: Platform Abstraction Layer) layer rather than directly to the hardware/platform; by doing this, the amount of effort porting them to a new chip or operating system would simply involve the development of some parts of the PAL itself. Take a look, and see how modular programming can work better for you and can shorten your development time! Enjoy!

Networks contain complex patterns of dependency and require multiple levels of analysis to explain their formation, structure, and outcomes. In this Element, the authors develop the Multilevel Network Framework. The framework serves as (i) a conceptual tool to think more deeply about network dynamics, (ii) a research tool to assist in connecting data, theory, and empirical models, and (iii) a diagnostic tool to analyze and categorize bodies of research. The authors then systematically review the network literature in public administration, management, and policy. They apply the Multilevel Network Framework to categorize the literature; identify significant gaps; examine micro, macro and cross-level relations; and examine relevant mechanisms and theories. Overall this Element helps readers to (i) understand and classify network research, (ii) use appropriate theoretical frameworks to examine network-related problems, (iii) understand how networks emerge and produce effects at different levels of analysis, and (iv) select appropriate empirical models.