Digital Signal Processing – Tips and Tricks Training

Commitment 3 Days, 7-8 hours a day.
Language English
User Ratings Average User Rating 4.8 See what learners said
Delivery Options Instructor-Led Onsite, Online, and Classroom Live


Digital Signal Processing – Tips and Tricks Training is to Introduce, explain, and demonstrate powerful, proven techniques, tips, and “tricks of the trade” that can dramatically improve accuracy, speed, and efficiency in Digital Signal Processing (DSP) applications.

The concepts are first presented using many colorful, clear figures along with plain English explanations and real-world examples. They are next demonstrated using clearly written MATLAB programs (with graphics). This way the student sees the key equations “in action” which increases intuitive understanding and learning speed. These (free) working programs can also be later modified or adapted by the student for customized, site-specific use.

Each student will receive extensive course slides, a CD with MATLAB m-files for demonstration and later adaptation, supplementary materials and references to aid in the understanding and application of these “techniques, tips, and tricks” and a copy of the instructor’s latest book “The Essential Guide to Digital Signal Processing”.

  • 3 days of Digital Signal Processing – Tips and Tricks Training with an expert instructor
  • Digital Signal Processing – Tips and Tricks Electronic Course Guide
  • Certificate of Completion
  • 100% Satisfaction Guarantee



Upon completing this Digital Signal Processing – Tips and Tricks Training course, learners will be able to meet these objectives:

  • How to recognize and avoid common DSP pitfalls through an increased, intuitive understanding of Sampling, Fourier Transforms, Filtering, Convolution, and Correlation.
  • How to understand and implement advanced DSP applications such as Cross Ambiguity Functions (CAFs), Stochastic Resonance, and Processing Gain to coax extremely weak signals above the detection threshold.
  • How to understand and work with the latest Communications Technology (5G, LTE, OFDMA) using familiar DSP methods.
  • How to understand and utilize additional clever “Tricks of the Trade” not found in most math-based textbooks or classes.
  • How to confidently (and correctly) use more advanced DSP techniques such as Optimal and Matched Filtering, Hilbert Transforms, Multirate Systems, Multiresolution, and Time/Frequency methods (including STFTs and Wavelets).

This course is vastly different from the typical Applied Mathematics DSP courses in that it is an in-depth, comprehensive treatment but from a more intuitive, understandable perspective. This approach de-mystifies, clarifies, and demonstrates the techniques thus allowing the student to quickly learn and correctly apply them.

  • We can adapt this Digital Signal Processing – Tips and Tricks course to your group’s background and work requirements at little to no added cost.
  • If you are familiar with some aspects of this Digital Signal Processing – Tips and Tricks Training course, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Digital Signal Processing – Tips and Tricks course around the mix of technologies of interest to you (including technologies other than those included in this outline).
  • If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Digital Signal Processing – Tips and Tricks Training course in a manner understandable to lay audiences.

The target audience for this Digital Signal Processing – Tips and Tricks Training course:

  • All

There are no formal prerequisites for this Digital Signal Processing – Tips and Tricks Training course.


  1. New insights and applications of traditional DSP. How to avoid common mistakes and traps when converting analog signals to digital. The underutilized power of Median Filtering in Edge Detection. Employing Matched Filtering to pull out a weak signal even if it has been stretched/shifted. Signal Averaging in time, frequency, and phase for cleaner results. Tradeoffs in Windowing. Innovative uses of Autocorrelation and Cross-correlation for Processing Gain.
  2. Exploiting the capabilities of Complex Signals. Time, Frequency, and Phase together in workable formats. Edge detection. Signal Envelopes. Using a Hilbert Transform to precisely shift the frequency of a real signal. Creating an essentially Ideal Filter with minimal or zero bin leakage. Digital Signal Processing – Tips and Tricks Training
  3. Multi-rate, Multiresolution, Time/Frequency, and Wavelets. Compression and De-Noising. Advanced interpolation. Short-Time Fourier Transforms. Re-sampling to line up signals for coherent processing. Wavelet Transforms tell you the time, the frequency, and even the shape of pulses, blips, or other “events” in your signal. Example of how to recover a signal swamped in noise (10,000x). Alias Cancelling Filters. Continuous and Discrete Wavelet Transforms with examples.
  4. Advanced DSP Techniques. How to extract a signal from heavy noise using Cross Ambiguity Functions (CAFs). Precision Peak Interpolation. Stein’s Method. Dithering and Stochastic Resonance–how to inject noise to actually improve the result. Harmonics and Intermodulation Distortion–ways to deal with strong false signals at frequencies very close to your signal of interest.
  5. Advanced Applications of DSP in Communications. How to understand and implement Orthogonal Frequency Division Multiple Access (OFDMA) using surprisingly familiar DSP techniques (IFFT then FFT). DSP usage in Advanced Communications Multiple Access Schemes. Intuitive comparisons of FDMA, TDMA, CDMA, OFDMA, and SDMA.
  6. Skewed Distributions in Statistical Signal Processing. How to work with real-world distributions such as Lognormal, Rayleigh, Chi-Square, and other non-Gaussian representations (real-life data seldom lies on a strict Bell Curve).
  7. Additional Practical DSP Tips and Tricks. A sliding DFT that computes selected results orders of magnitude faster than the FFT. Extremely efficient minimization using a Downhill Simplex “amoeba”. How to better utilize Symbolic Math. Other selected state-of-the-art techniques. Application of the above “techniques, tips, & tricks” to DSP areas with strong market growth: communications, A/V, space, medical, defense, oil & gas exploration, financial, and other critical fields.
  8. Workshop on Student-Requested Challenges. Help, advice, and counsel from the instructor on technical problems brought by students to this class.
Digital Signal Processing – Tips and Tricks TrainingDigital Signal Processing – Tips and Tricks Training Course Wrap-Up