A warm welcome to the Digital Signal Processing (DSP) course by Uplatz.
Digital Signal Processing (DSP) includes evolving protocols and algorithms that can be used to improve a signal in a particular way or extract some useful information from it. Digital Signal Processing is an important branch of Electronics and Telecommunication engineering that deals with the managing of consistency and accuracy of the digital communication by employing multiple techniques. Digital circuits do not suffer from the much limitations. While variations in the section values can slightly change the delay of a CMOS inverter gate, the complete functionality of the gate will be retained. Unlike analog circuits, digital circuits are less vulnerable to component variations. Digital circuits are also more flexible and suited for implementing mathematical functions.
DSP systems executed in either hardware or software programmable DSP processors are categorized by common characteristics. First, data flow/real-time computing corresponds to its analog counterpart in that an output signal is a convolution of an input signal and the impulse response of a given analog linear time-invariant (LTI) system. The convolution is assumed to take infinitesimal time to compute. Because of these DSP common characteristics, many DSP algorithms can be suitably conveyed into the form of nested Do-loops perhaps with an infinite loop bound.
Uplatz offers this end-to-end course on DSP. This Digital Signal Processing course introduces the basic concepts and principles underlying discrete-time signal processing. Concepts will be shown using cases of standard technologies and algorithms. This DSP course also explains the digital signal processing (DSP) system general model and the various functions that it performs. It accepts an analog signal as an input and converts this analog signal to numbers. It also performs computations using the numbers and converts the results of the computations into an analog signal. This DSP course covers extensive explanation of Digital Signal Processing concepts, design for testability, demonstration of a practical DSPapplication, manipulation of sound using DSP, sampling & filtering, filter realization & implementation, interpolation, decimation, and the like. This DSPtraining will help you learn modern techniques of image, audio & video compression and will make you aware of the different digital formats.
Digital Signal Processing (DSP) - Course Curriculum
Introduction to DSP
Need for Design for Testability
Simple Application of DSP
Manipulation of Sound using DSP
Sampling & Filtering
Filter Realization
Filter Implementation
Interpolation and Decimation
Fourier Theory
Digital Formats
Audio Compression
Image and Video Compression
