Hardware Implementation

Figure 7.17 Moore s hardware implementation of Land s algorithm (Reproduced by permission of IEEE. Moore A and Allman J and Goodman RM 1991 A real-time neural system for color constancy. IEEE Transactions on Neural Networks, IEEE, 2(2), 237-247, March). The output of the camera is smoothed using three separate resistive grids (a). A single resistive grid is shown in (b). The smoothed image is then subtracted from the original image.

If a hardware implementation of the first calculation is too difficult or too expensive, we can use the second method. In the following text we will denote this interpolation method by (a). 

Operating system Software controlling the execution of programs and providing services such as resource allocation, scheduling, input/output control, and data management. Usually, operating systems are predominantly software, but partial or complete hardware implementations are possible (ISO). 

The block ciphers are more widespread in open computer systems, but the classical stream ciphers usually are hardware implementation oriented, secret and used in special-purpose communication systems. 

The wideband holographic imaging technique is a wavefront image reconstruction, or focusing, technique that eliminates the need for physical focusing elements such as lenses or curved reflectors. This technique is essentially a way to mathematically focus the imaging data that are completely unfocused in the actual hardware implementation. 

Multi-parametric programming [1] has recently received a lot of attention in the open literature, especially because of its important applications in Model Predictive Control (MFC) [2]. In this context, a new class of controllers, the so-called parametric controllers has been invented [3] which allow for the off-line derivation, hardware implementation and installation of Model Predictive Control [4]. 

The control strategy for the growth-type crystallizer would be the same as shown for the forced circulation crystallizers, but the hardware implementation for classification would differ. This hardware and control scheme could also satisfy the counterflow crystallization duty described above. 

Software and hardware implementation phase DQ (Source Code Review) DQ and reporting phase... 

Sanchez-Sinencio, E. and Lau, C. 1992. Artificial Neural Networks Paradigms, Applications and Hardware Implementations, IEEE Press, New York. 

The hardware implementation has a total of 64 flip-flops. It is not protected against farrlts, since in the worst case seenario there will be only a false error detection. Table 4.10 shows the size and performance of the miniMlPS and the hardware module. As one can see, the hardware module has 11% of the area of the miniMlPS, while rrraintaining the same operation frequency. The hardware module is still smaller than PODER s, but shghtly bigger than the ones presented in OCFCM. 

Evidence is provided that the hardware implementation meets the requirements. o o Hardware Review and Analysis Results 10.4.3 HC2 HC2 HC2 HC2... 

---