David NovoEurasip Journal on Advances in Signal ProcessingGabriel Caffarena, Olivier Sentieys, Daniel Menard, Juan A Lopez, David Novo, "Quantization of VLSI digital signal processing systems", EURASIP Journal on Advances in Signal Processing , 2012...
In signal processing applications, quantization errors contribute to noise and degrade the signal to noise ratio (SNR). The SNR is measured in dB and is generally described as x decibel reduction for each additional bit. In order to manage quantization noise and keep it at an acceptable level,...
Digital Image Compression Vector Quantization Information theory says that quantizing signal samples one at a time (i.e., scalar quantization) can never be optimal [1, 5]. Certainly this is clear if the successive samples are correlated or otherwise dependent, and, in fact, that is the main ...
Digital Signal Processing (Second Edition) Book2013, Digital Signal Processing (Second Edition) Li Tan, Jean Jiang Explore book Quantization The quantization is operated using the 8 × 8 quantization matrix. Each DCT coefficient is quantized, that is, divided by the corresponding value given in the...
EE445SReal-TimeDigitalSignalProcessingLabSpring2019 Quantization Prof.BrianL.EvansDept.ofElectricalandComputerEngineering TheUniversityofTexasatAustin Lecture8 http://www.ece.utexas.edu/~bevans/courses/realtime 1 Outline •Introduction•Uniformamplitudequantization•Audio•Quantizationerror(noise)analysis...
When processing speech signals, why do we have to use non-uniform quantization not uniform quantization. 语音信号的概率分布服从指数分布,小信号占比多。要想提高量化信噪比,降低量化误差,需要增加量化级数,这会导致编码复杂。 The speech signal’s probability distribution obeys the exponential distribution, and...
and level, into a succession of discrete or discrete-analogue signals that in aggregate represent the original signal with a predetermined error. Signal quantization is used in telemechanics for data transmission, in computer engineering for analogue-to-digital conversion, and in automatic pulse ...
Rabiner LR, Gold B (1975) Theory and application of digital signal processing. Prentice-Hall, Englewood Cliffs. ISBN: 0-139-141014 Google Scholar van den Enden AWM, Verhoeckx NAM (1989) Discrete time signal processing, an introduction. Prentice Hall, New Jersey. ISBN: 0-132-167557 Google...
Thequantizerthen compresses this encoded vector through a process known as Residual Vector Quantization, a conceptoriginatingin digital signal processing. Finally, thedecodertakes this compressed signal and reconstructs it into an audio stream. This reconstructed audio is then compared to the original us...
The signal is modeled as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal. In the frequency domain, this is equivalent to modeling the signal spectrum by a pole-zero spectrum. The major part of the ...