Bottom Line Technologies Inc.   FPGA, Product, and System Design for Commercial, 
				Industrial, Military, and Aerospace Markets.  BLT designs incorporate FPGAs, DSP, PCI, and often FW
HOME  Site Map  CONTACT
Subscribe to eNewsletter
Email:
.
Training Home
Training Courses 
  • FPGA 
  • Connectivity 
  • CPLD 
  • DSP 
  • Embedded Design 
  •  
    Follow-on Coaching 
     
    Related Links
    Public Class Schedule 
    Private Classes 
    Training Facilities 
    Training Policies 
    Xilinx Design Services 
     
    Technologies Design Services Outsourcing Company Philosophies Company Information
     
      HOME
      Services 
      Training 
      Training Courses 
    DSP Implementation Techniques for Xilinx FPGAs
    This course shows you how to take advantage of the features available in the Xilinx FPGA architecture, including the Virtex™-4 FPGA, and describes how DSP algorithms can be implemented efficiently. The techniques also demonstrate which decisions at the system level have the greatest impact on the implementation process and product costs.

    Level
    Advanced

    Duration
    3 Days

    Who Should Attend
    Engineers and designers who have an interest in developing products that use digital signal processing

    Software Tools
    N/A

    Skills Gained
    After completing this comprehensive training, you will have the necessary skills to:
  • Describe how DSP algorithms can be implemented efficiently by using Xilinx FPGA technology
  • Identify the capabilities and features of the various Xilinx FPGA families to implement efficient DSP algorithms
  • Establish methods for the accurate estimation of silicon area consumption and cost
  • Evaluate which algorithms are best suited for FPGA implementation and identify which algorithms are less desirable
  • Assess how system-level decisions impact hardware implementation and how hardware implementation can enhance results at the system level

    Course Outline
    Day 1
    • On the Same Wavelength
      • Basic terminology and acronyms used in DSP design
      • Sample rates and bit widths used in DSP applications
      • DSP building blocks and processing requirements
    • Some Bits About Numbers
      • Numbering formats, range, and precision
      • Mathematical operations using a variety of formats
    • Tuning the Receiver
      • Structure and Resources of Xilinx Devices
      • Estimating DSP building block sizes

    Day 2
    • Tuning the Receiver (continued)
      • Implementing the multiplication function
      • Bit-width impact on system-level decisions
    • Memories are Made of This
      • Block versus distributed memory
      • SRL16E and the Delay Function
      • Memory aspect ratios and their manipulation
    • Selective Filters
      • FIR filter specifications and implementation
      • Selecting a technique for a given specification
      • Effects of halfband and interpolated filters

    Day 3
    • One Filter Does Not Make a System
      • Options to be considered with multiple channels
      • Interpolation and decimation
      • Rate changing and its effect on FIR filter choice
      • Filtering algorithms that exploit device architecture
      • Importance of connectivity versus isolated functions
    • Do Not Block the Datapath
      • Numeric controlled oscillators and mixers
      • Strategies for FFT implementation
      • Achieving bandwidth requirements of the FFT
      • Using the FPGA as an efficient co-processor


    Labs

    Course Exercises
  • MAC Rates and Memory Requirements
  • Constructing a 128-Tap FIR Filter
  • Fractional Number Formats
  • Twos Complement Arithmetic
  • Summation by Addition Tree
  • Summation by Addition Chain
  • Full Adder: How Many Slices?
  • Summation Structure Sizes
  • Serial Summation Structure
  • 8-Bit by 12-Bit Multiplier
  • KCM Multipliers
  • Distributed RAM for FIFO
  • Size Estimates for Delay Structures
  • Using the SRL16E as a FIFO
  • Creating Larger RAM Structures
  • Selecting a MAC FIR Technique
  • Parallel FIR Filter Size
  • Symmetry, Interpolation, and Phases
  • Decimation Filter
  • "fs/4" Mixing and Decimation
  • Designing a Numeric Controlled Oscillator (NCO)
  • FFT: Benchmarks and Transform Time
  • Collection Time = Processing Time
  • 128-point FFT in 1.28 µS


  • Prerequisites
    A fundamental understanding of digital signal processing theory, including an understanding of the following principles:
    • Sample rates
    • Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters
    • Oscillators and mixers
    • Fast Fourier Transform (FFT) algorithm


    No Scheduled Sessions
    Contact Bottom Line Technologies for more information

    Education Investment Options
    Course & Basic Follow-on Coaching $2,299 REGISTER
    Course & Comprehensive Follow-on Coaching $2,899 REGISTER
    Course Only $2,099 REGISTER
    Basic Coaching ala Carte Not currently offered REGISTER
    S3 Board & 1 hour support $399 REGISTER
    V4 Board & 1 hour support $599 REGISTER
    V5 Board & 1 hour support $1,399 REGISTER
  • Basic follow-on coaching includes 2 hours (max 4 calls)
  • Comprehensive follow-on coaching includes 8 hours (max 12 calls)
  •  
    Contact  Careers   Site Map  eNewsletter Library  Links
    Copyright (c) 2005 Bottom Line Technologies Inc. All rights reserved. Version 5.5 - 2008-04-11 13:29
    Except as permitted under a separate written agreement with Bottom Line Technologies, neither the Bottom Line Technologies software, nor any content that appears on any Bottom Line Technologies site, including but not limited to, web pages, newsletters, or templates may be reproduced, republished, repurposed, or distributed without the prior written permission of Bottom Line Technologies Inc. For inquiries regarding reproduction or distribution of any Bottom Line Technologies material, please contact legal@bltinc.com.