Sampling Theorem and Reconstruction Sampling and Quantization HD
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Video Source: www.youtube.com/watch?v=PdLVtjQcKdc
This video explains in detail sampling, sampling theorem and reconstruction, nyquist theorem and quantization of analog signal with the help of waveform of sampled signal. The sampling and quantization techniques used in pcm to convert analog signals into binary signals. • SAMPLING THEOREM AND RECONSTRUCTION (SAMPLING AND QUANTIZATION) • What is Sampling and why it is required? • A continuous time signal at the transmitting end is converted into discrete time signal, it is done as it is easier to process digital signals in comparison to analogue signals. • If we want to convert analogue signals into digital signals then first of all continuous time signal is converted into discrete time signal with the help of sampling process and after this process, this sampled signal is converted into digital signal by the process of quantization. • Sampling Theorem: • A continuous time signal can be completely represented in its samples and then can be recovered back, if the sampling frequency is greater than or equal to the twice of the maximum frequency present in the signal. • i.e. 'fs' is greater than or equal to '2fm' • Here fs is sampling frequency • fm is maximum frequency present in the signal. • It is essential to take sufficient number of samples to completely represent a signal by its samples and also to reconstruct the signal back to its original form from its samples. • Visit My blog for more information • https://www.engineeringmadeeasypro.com/ • Please Support me on Patreon • https://www.patreon.com/user?u=20310205 • Like my Facebook Page • https://www.facebook.com/lalitvas/?re... • Join my Facebook Group • / 1865786296998316 • PLAYLISTS on different Topics (Choose from the Large Collection of Videos) • Electronics and Communication (ECE) Lecture Videos (GATE and IES) • • Electronics and Communication (ECE) L... • Communication Systems (Analog and Digital ) • • Communication Systems (Analog and Dig... • Modulation (Analog and Digital) • • Modulation (Analog and Digital) • Continuous Wave Modulation (AM, FM and PM) • • Continuous Wave Modulation (AM, FM an... • Amplitude Modulation (AM Modulation) • • Amplitude Modulation (AM Modulation) • Pulse Modulation Techniques (PAM, PWM, PPM and PCM) • • Pulse Modulation Techniques (PAM, PWM... • Digital Modulation Techniques Lectures [HD] • • Digital Modulation Techniques Lecture... • Electronics and Communication (ECE) NOTES (Handwritten and PPT Notes) • • Electronics and Communication (ECE) N... • Analog Communication Videos • • Analog Communication Videos • Analog and Digital Communication • • Analog and Digital Communication • Random Variables and Probability Distribution • • Random Variables and Probability Dist... • Optical Fiber Communication • • Optical Fiber Communication • Optical Fiber Communication Notes (PPT) Slides • • Optical Fiber Communication Notes (PP... • Optical Fiber Communication in HINDI Videos • • Optical Fiber Communication in HINDI ... • Electronics Engineering (Lectures and Circuit Simulations) • • Electronics Engineering (Lectures and... • Operational Amplifier (Op amp) Circuits and Simulations • • Operational Amplifier (Op amp) Circui... • Circuits and Systems Videos • • Circuits and Systems Videos • Circuit Simulator ((Electronic Circuit Animations and Simulations) • • Circuit Simulator (Electronic Circuit... • Signals and Systems • • Signals and Systems • Digital Electronics Videos • • Digital Electronics Videos • Numerical Problems in Engineering [HD] • • Numerical Problems in Engineering [HD] • Engineering Mathematics Tutorial Videos • • Engineering Mathematics Tutorial Videos • Laplace Transform (Video Lectures) • • Laplace Transform (Video Lectures) • Vectors in Maths and Physics • • Vectors in Maths and Physics • Best Maths Tricks • • Best Maths Tricks • Drawing Graphs (Curve Tracing) • • Drawing Graphs (Curve Tracing) • RADAR Engineering and Basics • • RADAR Engineering and Basics • Science World !!! (MUST WATCH) • • Science World
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