DSP Training Courses and Workshops

Schools providing training courses, certificates, diplomas or degree programs of DSP




Total 69 training courses and degree programs available around the world.

DSP

Course Format: Online / Virtual Classroom / Webinar
School/Trainer: Colorado State University OnlinePlus
Training Center(s)/Venue(s): Fort Collins, United States

Discrete time signals and systems, digital filter design and implementation, fast algorithms, quantization effects.

DSP

Course Format: Online / Virtual Classroom / Webinar
School/Trainer: University of California, Los Angeles
Training Center(s)/Venue(s): Los Angeles, United States
  V

Relationship between continuous-time and discrete-time signals. Fundamental sequences, periodic sequences, discrete-time systems, linear convolution, solution of difference equations, z-transform and properties, transfer functions, discrete-time Fourier transform and properties, frequency response, minimum-phase and all-pass systems, Discrete Fourier transform and properties, circular convolution, Fast Fourier transform, sampling. Structures for digital filtering. Introduction to digital filter design techniques.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: University of Houston
Training Center(s)/Venue(s): Houston, United States

Sampling theory, use of the DFT/FFT, design of FIR and IIR digital filters, quantization and finite word length effects, and digital signal processing hardware.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: The University of Pennsylvania
Training Center(s)/Venue(s): Philadelphia, United States
  V

This course covers the fundamentals of discrete-time signals and systems and digital filters. Specific topics covered include: review of discrete-time signal and linear system representations in the time and frequence domain, and convolution, discrete-time Fourier transform (DTFT), Z-transforms, frequency response of linear discrete-time systems, sampling of continuous-time signals, analog to digital conversion, sampling-rate conversion, basic discrete-time filter structures and types, finite imples response (FIR) and infinite impulse response (IIR) filters, design of FIR and IIR filters, discrete Fourier transform (DFT), the fast Fourier transform (FFT) algorithm and its applications in filtering and spectrum estimation. Selected applications.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Temple University
Training Center(s)/Venue(s): Philadelphia, United States

Topics covered are: various types of digital signal processing (DSP) techniques such as convolution, correlation, and filtering, as well as Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) all pass and comb digital filters, the Discrete Fourier Transform, and the use of MATLAB as a tool for DSP software tasks. A term project will be assigned.

DSP MICROPROCESSORS

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: The University of Texas at Arlington
Training Center(s)/Venue(s): Arlington, United States
  V

Device architectures and various aspects of hardware/software design will be presented for dominant families of function-specific, application-specific and general-purpose digital signal processors (DSPs) from leading manufacturers. Special attention will be given to problems related to real-time acquisition and processing of analog data (audio, video, RF, etc.), including design principles for the state-of-the-art data conversion interfaces.


DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: The University of Texas at Arlington
Training Center(s)/Venue(s): Arlington, United States
  V

Introduction to principles and applications of digital signal processing. Topics include: analysis of signals and systems, Fourier and Z transforms, digital filter design techniques (FIR and IIR), autoregressive (AR) and autoregressive moving average (ARMA) modeling. Applications to science and engineering include: financial predictions and processing of digital music. Laboratory work includes some programming and use of high quality library routines and packages such as Mathematica, Matlab.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: University of Texas at Dallas
Training Center(s)/Venue(s): Dallas, United States

Analysis of discrete time signals and systems, Z-transform, discrete Fourier transform, fast Fourier transform, analysis and design of digital filters.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: St. Marys University
Training Center(s)/Venue(s): San Antonio, United States

Discrete time signals &, systems, z-transform, discrete fourier transform, flow graph and matrix representation of digital filters, digital filter design techniques and computation of the discrete fourier transform (FFT).

DSP for Sound & Hearing

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Drexel University
Training Center(s)/Venue(s): Philadelphia, United States

Introduction to the computational modeling of sound and the human auditory system. Signal processing issues, such as sampling, aliasing, and quantization, are examined from an audio perspective. Covers applications including audio data compression (mp3), sound synthesis, and audio watermarking.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: International Technological University
Training Center(s)/Venue(s): San Jose, United States

The course will focus an advanced techniques in signal processing. Stochastic signal processing, parametric statistical signal models, and adaptive filterings. Application to spectral estimation, speech and audio coding, adaptive equalization, noise cancellation, echo cancellation, and linear prediction.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Santa Clara University
Training Center(s)/Venue(s): Santa Clara, United States

Description of discrete signals and systems. Z-transform. Convolution and transfer functions. System response and stability. Fourier transform. Sampling theorem. Digital filtering. State-space representations.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Cogswell College
Training Center(s)/Venue(s): Sunnyvale, United States

Introduction to digital signal processing, sampling and quantization, A/D and D/A converters, discrete time systems, convolution, z-transforms, transfer functions, digital filter realizations, and fast Fourier transforms. Introduction to filter design and digital audio applications.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Okanagan College
Training Center(s)/Venue(s): Kelowna, Oliver, Penticton, Revelstoke, Salmon Arm, Summerland, Vernon, Canada
  V

Advanced applications of operational amplifiers and special integrated circuits are covered with an emphasis on high performance analog signal processing leading to data acquisition and digital signal processing by computers. Major topics include the classes of negative feedback, nonideal operational amplifier properties, active filters, data acquisition principles and digital signal processing including the discrete and fast fourier transform and digital filtering.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: University of Maryland, Baltimore County
Training Center(s)/Venue(s): Baltimore, United States
  V

This is a first-year graduate course for communication and signal processing majors in electrical engineering (EE) that covers the fundamentals of digital signal processing (DSP). The goal of this course is to provide the first-year EE graduate student with the foundations and tools to understand, design and implement DSP systems, in both hardware and software. MATLAB and SystemView will be the primary vehicles to provide the student with hands-on DSP design and simulation experience. The student also will acquire an understanding of DSP hardware basics and architecture. Topics covered include: (1) A/D-D/A conversion and quantization, number representations and finite wordlength effects, (2) FIR, IIR and lattice filter structures, block diagram and equivalent structures, (3) multi-rate DSP and filterbanks, (4) digital filter design methods and verification, (5) DSP hardware architecture and (6) DSP simulation/laboratory experiences.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Milwaukee School of Engineering
Training Center(s)/Venue(s): Milwaukee, United States
  V

This is an introduction to the digital processing of signals. It begins with the examination of continuous and discrete time signals and systems, and the concepts of spectrum and steady state frequency response. Discrete time signal and system interaction is examined in both the time and frequency domains, through the use of convolution and transfer function. The DSP topics include impulse sampling, reconstruction, difference equations, z-transforms, transfer function, convolution, and FIR and IIR digital filter design and application. Discrete and Fast Fourier transforms are developed and applied. Lecture topics are supported by laboratory experiments on actual DSP hardware and including Matlab.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Camosun College
Training Center(s)/Venue(s): Victoria, Canada

This course provides an introduction to digital signal processing. Topics include: digital signals, ļ¬ltering by difference equations and convolution, z transforms, frequency responses, spectra, the design of FIR and IIR Filters, discrete Fourier transforms and fast Fourier transforms, DSP hardware and applications.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Marquette University Graduate School
Training Center(s)/Venue(s): Milwaukee, United States
  V

Introduction to the theory and practice of discrete-time signals and systems. Concepts covered include: Fourier Transforms, Z-transforms, linear time invariant system analysis in the time and frequency domains, sampling theory and Discrete Fourier Transforms. Application of these concepts includes: digital filter design techniques and the use of Fast Fourier Transforms for efficient frequency domain analysis. Labs and design projects related to specific signal processing applications are used to illustrate the material, including topics such as audio and image processing.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: St. Clair College
Training Center(s)/Venue(s): Windsor, Canada
  V

This course introduces the fundamentals of digital signal processing (DSP). The goal of this course is to provide the student with the foundations and tools to understand, design, and implement DSP systems, in both hardware and software. Topics covered include the following: Sampling and Aliasing, FIR and IIR filters, Convolution and LTI systems, Z-transforms, Spectrum analysis, DFT and FFT, number representations, block diagrams, digital filter design methods and verification.

DSP

Course Format: Public Course / Instructor-Led / Open Enrollment
School/Trainer: Wentworth Institute of Technology
Training Center(s)/Venue(s): Boston, United States
  V

This course presents the theory and practice of digital signal processing. Topics include review of discrete-time signals, systems and the Z-transform, sampling and quantization, Fourier transforms (DTFT, DFT and FFT) with applications to fast convolution, design techniques for FIR and IIR digital filters, realization structures for digital filters and finite precision effects, fundimentals of multirate signal processing and filter-banks, and DSP applications

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