Signalytics DSP and Communications Intensive Training Courses


Digital Signal Processing (“DSP”) lies at the heart of modern instrumentation, entertainment and communication systems. DSP is an engineering academic discipline that has taken shape as a fascinating blend of topics drawn from classical calculus and numerical analysis, statistical communication theory, electrical filter theory, complex analysis, matrices, digital electronics, computer technology, functional analysis and transform theory, algorithm development, optimization theory, and other supporting theoretical and practical snippets of mathematics, computing and electronics.


At its simplest, DSP can be said to be concerned with conversion of “signals” (such as speech, heart rate data, images, vibration information, radar pulses, voltages from transducers, and the like) to sequences of numbers which can be “processed” numerically by digital hardware/software and then re-converted to modified signals that are in some sense “enhanced” so as to be more useful or meaningful than in their original forms.


We offer several short courses that treat DSP and its applications, usually run in-house for technical professionals in companies and research organizations. These courses feature extensive hands-on study using technical software tools, primarily MATLAB and Simulink (produced by The MathWorks Incorporated), and design tools - primarily Slifer, Sketch-a-Filt and DSP_Speedster  - supplied by our affiliate, DSP Creations Limited. When public course offerings are run, this website will announce venue and cost details.


The following courses comprise our current offerings:


Digital Signal Processing Basics

Digital Filter Design

Digital Matched Filters and Waveform Diversity

Random Signal Analysis and Adaptive Filtering