Quantization

discrete signal.so to overcome the aliasing effect we use sampling frequent which is twice the max frequency of the signal. Quantization process is is used to concert this discrete signal to binary form after all this step the signal quantize as per the level of the signal.at the output side decoding of this binary signal take place with maintaining the same level of quantization in this way we will obtain the original analog signal. DPCM Definition Differential PCM (DPCM) is more compelling then

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University of Texas at San Antonio Digital Signal Processing Project-2 Title: Sampling and Quantization of Audio signals. By: Bindhu Reddy Gurram Sai Madhuri Malladi Fall 2014   Content: Abstract................................................................................................................................2 Introduction.........................................................................................................................3 Basics of this project.....

Wavelet transform gives multiresolution image decomposition. which can .be exploited through vector quantization to achieve high compression ratio. For vector quantization of wavelet coefficients vectors are formed by either coefficients at same level, different location or different level, same location. This paper compares the two methods and shows that because of wavelet properties, vector quantization can still improve compression results by coding only important vectors for reconstruction. Thus

converted by an ADC in one second is known as the conversion speed. 3.1.1.6 Quantization error After sampling of the signal the conversion of the

There are two options for implementing the proposed algorithm, local implementation and global implementation. Speed, circuit area, and power consumptions are main considerations when choosing the implementation options. For the prediction circuit, since the input pixel value varies column by column, the circuit should be implemented locally. Another reason for doing this is that the prediction circuit is fully digital and does not occupy too much silicon area. In the case of the judgement circuit

The proposed prediction ADC algorithm contains three key procedures: prediction, judgement, and final conversion. At the beginning, the prediction circuit generates common MSBs from a data memory that stores the digital results of the pixels in the previous row. Then the judgement circuit creates two analog boundary voltages based on the predicted MSB values and check whether the current pixel’s analog value is between the two boundary voltages based on Eq. (1). Finally, if the predicted MSB values

Abstract This thesis investigates several types of Sigma-Delta modulators in different conditions as a possible solution to the all-digital audio and wifi signal receivers. In this research, two main approaches are under consideration. Oversampling is a technique to design a sigma-delta modulators. Undersampling(or subsampling) is an interesting technique which allows the sigma-delta modulators to sample high frequency signals such as WIFI and GNSS signals. Time-interleaving modulation is another

A REVIEW ON EFFECTIVE COMPRESSION IN MPEG-4 VIDEOS USING MARKOV STATISTICS Ms.S.Bhuvaneshwari Dr.T.Gunasekaran.Ph.D., M.E(A.E),Dept. of ECE, Professor &HOD, Dept. of ECE VCEW VCEW Namakkal, India Namakkal, India bhuvanakceece@gmail.com

1) Initialise the reconstruction words am as per the number of quantization levels that are present for the given quantizer. 2) Compute the boundaries bm such that am lies in the centroid of two adjacent boundaries. (1) 3) Use the signal pdf Px (x) to compute am (2) bm−1 xPx (x) dx am = bm−1 Px (x) dx [3] (2) 4) Using the new values of am recalculate the new values for bm . (1) 5) Keep doing the above two steps till the values of am , bm stabilize and the