PDF-Study of effect of Quantization on the signals and systems
Author : ellena-manuel | Published Date : 2014-12-20
Objective Effect of quantization of signals Effect of quantization system Study of law and A law Introduction In digital signal processing quantization is the process
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Study of effect of Quantization on the signals and systems: Transcript
Objective Effect of quantization of signals Effect of quantization system Study of law and A law Introduction In digital signal processing quantization is the process of approxim ating a continuous range of values or a very large set of possible dis. We will assume here that the independent variable is time denoted by and the dependent variable could be any physical measurementvariable which changes over time think for example of a time varying electric voltage We will denote the generic measur 1 tr du ti a brPage 2br Fig re brPage 3br 2 Data procedures and rest frames brPage 4br frame brPage 5br Figure 2 brPage 6br Figure 3 brPage 7br Fig re at brPage 8br Fig re brPage 9br 3 The period model and galaxy families tim Lecture 23Oversampled ADCs1Bit quantizationQuantization error spectrumSQNR analysisLimit cycle oscillations2order SDDynamic range Practical implementation CSE 190 [Spring 2015]. , Lecture . 2. Ravi Ramamoorthi. http://. www.cs.ucsd.edu. /~. ravir. Course Outline. 3D Graphics Pipeline. Rendering. (Creating, shading images from geometry, lighting, materials). Antti Meriläinen, Edward . Hæggström. Using high frequency acoustic waves for mm-/µm-scale imaging. Method is non-destructive. It “Sees” inside the sample. Ultrasound images differences of acoustic impedances. Examples of signals:. Voltage output of a RLC circuit, stock market, ECG, speech, sequences of bases in a gene, MRI or CT scan. Examples of systems:. RLC circuit, an algorithm for predicting future of stock market, an algorithm for detecting abnormal heart rhythms, speech understanding systems, edge detection algorithm for medical images.. Jinseok. Choi and Brian L. Evans. Wireless Networking & Communication Group. The University of Texas as . Austin. Collaboration with Robert . W. Heath, Jr. , . and . Jeonghun. Park. 1. 2. Traditional Radio Access Network. Electrons, 3He, 4He, etc.. And of Non-Conserved Particles. Phonons,. . Magnons. , . Rotons. …. We Found for Non-Conserved Bosons. E.g., Phonons that we can describe the system in terms of canonical coordinates. COMPATIBLE WITH BITPLANE IMAGE CODING. Department of Information and Communications Engineering. Universitat. . Autònoma. de Barcelona, Spain. Francesc . Aulí. -Llinàs. L. H. α. W. TABLE OF CONTENTS. Nyquist. Theorem . Richa. Sharma. Dept. of Physics And Astrophysics. University of Delhi. Signal : . Any physical quantity that varies with time, space, or any other independent variable or variables.. z. -component angular momentum. The . z. -component of the angular momentum operator depends only on . φ. The . particle-on-a-sphere wave . function is the . eigenfunction. of the . l. z. operator.. Idoia. . Ochoa . and . Nima. . Soltani. . Outline. System overview. Detailed encoder description. Demonstration. Results. Extensions. Conclusions. System Overview (Encoder). R. L. DWT. Quant. Arith. Carrier . is strong and stable sinusoidal signal . x(t) = A cos(. w. c . t + . q. ). Carrier transports . information. (audio, video, text, email) across the world. Why is the carrier required?. Audio and video signals cannot travel over large distances since they are weak. Module 4. To be discussed….. Quantization of signal. PCM Encoder and PCM Decoder (Block Diagram & response). Noise in PCM(Quantization noise), SNR Calculation.. Delta & Adaptive Modulation (Block Diagram & response).
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