Digital Signal Processing- Tips & Tricks Training

Digital Signal Processing- Tips & Tricks Training


Digital Signal Processing- Tips & Tricks Training Course Description

The goal of this 3-day Digital Signal Processing- Tips & 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”.

Digital Signal Processing- Tips & Tricks TrainingRelated Courses:

Duration:3 days

Skills Gained:

• 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 (5-G, 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).

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Course Content:

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.

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.

Multirate, Multresolution, 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 that 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.

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.

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.

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).

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 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.

Workshop on Student-Requested Challenges. Help, advice, and counsel by instructor on technical problems brought by students to this class

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    Time Frame: 0-3 Months4-12 Months

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