In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave to a sequence of "samples". A...
Syllabus ; Lesson 1 Introduction to the Course ; Lesson 2 Time Stretching Techniques in Sound Design ; Lesson 3 Creative Sound Design with Flex Time, Time Stretching, and Samplers ; Lesson 4 Creative Sound Design Techniques with Distortion and Filters
Criteria for Admissions ; Applicants must hold a bachelor's degree in an appropriate area (Engineering, Science, Mathematics, or Technology) with a minimum cumulative GPA of 3.0 or equivalent (A=4.0). Acceptance into the certificate program does NOT assure admission to the Graduate School of Purdue University to pursue an advanced degree. Those who wish to pursue a degree program along with the certificate will need to fill out two separate applications, each with a different semester start term. ...
This repository Contains the MATLAB Codes for the labs conducted in the course "ECL-301 Digital Signal Processing"
배울 내용 ; Understand commonly used signal processing tools · Design, evaluate, and apply digital filters · Clean and denoise data · Know what to look for when something isn't right with the data or the code · Improve MATLAB or Python programming skills · Know how to generate test signals for signal processing methods · Fully manually corrected English captions!
Knowledge and understanding of ; DSP basic concepts such as sampling, reconstruction and aliasing ; Fundamental filtering algorithms such as FIR, IIR, FFT ; Arm-based microcontrollers as low-power DSP computing platforms ; Software programming basics and principles
Explore convolution and digital signal processing with MATLAB for your academic courses.
Go at your own pace : 5 Sessions / 12 hours of work per session, Price : Free, Skill Level : Expert, Video Transcripts : English, Topics : Synthesis, Computer Programming, Digital Signal Processing (DSP), Faust, Effects
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배울 내용 ; Signal Sampling · Quantization · Digital Signals and Systems · Discrete Fourier Transform · Signal Spectrum · Z-Transform