Compute approximations to Fourier transforms of continuous-time signals with finite discrete time methods. Take advanced courses in signal processing (image, speech, audio, etc.), communications, ...

This course covers the basic theory of digital signal processing. Sampling theory, discrete time signals and systems, and transform methods - Z transform and Fourier series and transforms - are ...

As a hybrid test instrument, a mixed-signal oscilloscope (MSO) combines the measurement capabilities of a logic analyzer with ...

Digital filter structures, parameter quantization effects and design techniques. FFT and Chirp Z-Transform methods. Discrete Hilbert Transforms, minimum-phase sequences and their application to ...

This includes linear predictive coding, waveform coding, quantization, predictive coding, transform coding ... It includes courses in the basic theory of digital signal processing and filter design ...

Purdue University’s online Graduate Certificate in Digital Signal Processing (DSP) provides specialized knowledge and practical skills in signal theory, programming, and algorithm development, ...

To study the application of digital signal processing to problems in image processing. Topics covered will range from the fundamentals of 2-D signals and systems, to image enhancement, restoration and ...

Around since the 1950s, signal and image processing is an interdisciplinary field that involves manipulating digital signals and images to enhance their quality or extract useful information. The goal ...

Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic processes. Detect and estimate signals. Use computer programming in digital ...