Describe the fundamentals of Digital Signal Processing (DSP) Apply DSP technology to improve efficiency Analyse frequency of signals and the application of this knowledge Correctly apply design digital filters Analyse the performance of DSP systems Identify the key issues in designing a DSP system Specify features and capabilities of commercial DSP applications WHO SHOULD ATTEND? Condition monitoring engineers and technicians Control system engineers Communications system engineers Design engineers Electrical and electronic engineers Instrumentation engineers MORE INFORMATION: http://www.idc-online.com/content/practical-digital-signal-processing-engineers-and-technicians-2

1. Practical Digital Signal Processing
for Engineers and Technicians
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2. DSP
• Digital - finite set of distinct values.
• Analog - continuous range of values.
• DSP Processing means processing of signals which are:
- Discrete in time.
- Discrete in amplitude.
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3. Two sources of discrete signals
• Ones that are discrete in
nature.
• Sampled version of a
continuous-time signal.
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4. Why Process Signals Digitally?
• The signals are inherently discrete in nature.
• Consistency - compared with analog methods.
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5. Definition of Terms
• Signals - A quantity that can be measured over time.
• Frequency - A signal is said to have a frequency of 50 or 60 Hz.
• Spectrum - Some signals have a combination of frequencies.
• Low Pass Filter - This lets through the low pass component.
• Bandpass Filter - Only a range of frequencies is passed through
intact.
• High-pass Filter - Allows frequencies above a certain frequency to
pass through intact.
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6. Some Application Areas
• Speech and Audio Processing.
- Coding.
- Synthesis.
- Recognition.
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7. Companding Process
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8. Adaptive Differential Pulse Code Modulator
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9. Linear Predictive Coding
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10. Image and Video Processing
• Image Enhancement.
• Image Restoration.
• Image Compression and
Coding.
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11. Adaptive Filtering
• Noise Cancellation.
• Echo Cancellation.
• Channel Equalisation.
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12. Adaptive Noise Cancellation System
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13. Adaptive Echo Cancellation System
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14. Adaptive Equalizer in Training Mode
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15. Control Applications
• Controlling closed-loop feedback systems.
• Controller implements algebraic algorithms such as filters
and compensators.
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16. Digital Closed Loop Control System
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17. Sensor or Antenna Array Processing
• Spatially distributed sensors are used for receiving signals
from some sources.
• Coherent summing of outputs from these sensors referred to
as beamforming.
• One can “listen” preferentially to wavefronts originating
from one direction over another.
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18. Digital Communication
• New Architecture called
software radio.
• Use of wideband A/D and D/A
converters to convert RF or IF
signals directly.
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19. Software Radio Architecture
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20. DO YOU WANT TO KNOW MORE?
If you are interested in further training or information,
please visit:
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