The DSP Design Flow workshop provides an introduction to the advanced tools you need to design and implement DSP algorithms targeting FPGAs. This intermediate workshop in implementing DSP functions focuses on learning how to use System Generator for DSP, as well as HDL design flow, CORE Generator software, and design implementation tools. Through hands-on exercises, you will implement a design from algorithm concept to Verification.
Testbenches have become an integral part of the design process, enabling you to verify that your HDL model is sufficiently tested before implementing your design and helping you automate the design Verification process. It is essential, therefore, that you have confidence your testbench is thoroughly exercising your design. Collecting code coverage statistics during simulation helps to ensure the quality and thoroughness of your tests.
3.1 Data Link Layer Design Issues
3.2 Error Detection and Correction
3.3 Elementary Data Link Protocols
3.4 Sliding Windows Protocols
3.5 Protocol Specification and Verification
3.6 Example Data Link Protocols
Testbenches have become an integral part of the design process, enabling you to verify that
your HDL model is sufficiently tested before implementing your design and helping you automate
the design Verification process. It is essential, therefore, that you have confidence your
testbench is thoroughly exercising your design. Collecting code coverage statistics during simulation
helps to ensure the quality and thoroughness of your tests.
In the field of biometrics, palmprint is a novel but promising technology. Limited work has been reported on palmprint identification and Verification, despite the importance of palmprint features. There are many unique features in a palmprint image that can be used for personal identification. Principal lines, wrinkles, ridges, minutiae points, singular points, and texture are regarded as useful features for palmprint representation.
Programs in the irregular grid design package described in this manual are used to carry out five main functions:
Verification and adjustment of coastline and bathymetric data
preparation of an irregular triangular depth grid covering the domain to be modelled
production of a preliminary irregular triangular model grid with nodes suitably positioned for accurate and efficient numerical modelling
interactive checking and editing, including trimming and joining, of model grid
display and plotting of model output.
The package contains a Reed-Solomon coding and decoding program, derived
partly from Phil Karn/Robert Morelos-Zaragoza "new_rs_erasures.c".
In particular the Berlekamp-Massey algorithm has not been modified. New
features compared to "new_rs_erasures.c" are:
- fully parameterized: code parameters (n,k,m) can be selected via
command line options.
- decoding optional by Euclid or Belekamp-Massey algorithm
- efficient support of shortened codes
- extensive verbose levels for hardware Verification
Atmel’s AT91SAM7FP105 is a low pincount FingerChip processor based on the 32-bit ARM
RISC processor. It features a on-chip biometric engine performing enrollment Verification and
identification, an internal record cache of up to 25 records and a secure command protocol over
USB, SPI, UART. This protocol enables an external host system or processor to control the onchip
bioengine functions, manipulate the record cache, and securely export record cache
records for external storage. Together with the FingerChip sensor device AT77C104B, it forms
an embedded, secured biometric turnkey solution.
