create PCM and companding on excel sheet The PCM and companding of a signal is done on a spreadsheet using excel. Firstly, a sine wave is created by varying the time with respect to the amplitude. The frequency of the signal is taken as 10 Hz. The quantization process of the signal will be done. A quantized sine wave is then created. Now the number of levels cell (N) should be created. We take the value ... ... middle of paper ... ...ude=0.1, large N=8. GRAPH I) Plot of SQR vs Amplitude with
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
JPEG compression [2], and some tampering operations [3]. Another important property is the quantization artifacts in the DCT frequency domain. During JPEG compression, each DCT frequency component in the 8 × 8 block is quantized by a quantization step. It will lead to a specific shape of the corresponding DCT histogram. That is, those dequantized coefficients will just cluster in the multiples of the quantization step. Combined with the Laplac... ... middle of paper ... ...ting the disparity map
All analog-to-digital converters are known to introduce quantization errors to the incoming signal. When an Analog-Digital Converter (ADC) converts a continuous signal into a discrete digital representation, there is a range of input values that produces the same output. That range is called quantum (Q) and is equivalent to the Least Significant Bit (LSB). Quantization error is the difference between input and output. Therefore, the quantization error can be between ±Q/2. www.onmyphd.com/?p=quantization
the original data rate with minimal reduction in sound quality. * Simple and inexpensive hardware implementation suitable for portable players and recorders. When digital audio data is compressed, there is normally a certain amount of quantization noise introduced into the signal. The goal of many audio coding systems [1-6] is to control the time-frequency distribution of this noise in such a way as to render it inaudible to the human ear. If this is completely successful, the reconstructed
the discovery of electromagnetic [EM] energy quantization by Max Plank (1900) [1] needed to explain black body radiation distribution as a function of frequency and temperature. He explained it by a model where resonators (latter identified as harmonic oscillators) can emit radiation only by quanta of energy. Later Bohr [2] found the Quantum Mechanical model for the Hydrogen atom, using Planck’s constant as a measure for angular momentum quantization. An important concept in his work was the correspondence
shift may be a fundamental property of the galaxy. Each may have a specific state governed by laws, analogues to those in quantum mechanics that specify which energy states atoms may occupy. Since there is relatively little blurring on the quantization between galaxies, any real motions would have to be small in this model. Galaxies would not move away from one another; the universe would be static instead of expanding. This model obviously has implications for our understanding of red
In 1907, Einstein used Planck’s hypothesis of quantization to explain why the temperature of a solid changed by different amounts if you put the same amount of heat into the material. Since the early 1800’s, the science of spectroscopy had shown that different elements emit and absorb specific colors of
Chapter 1 INTRODUCTION An image as perceived in "reality" is thought to be a function of two real variables, for instance, a(x, y) with a certain level of brightness of the image at the real coordinates (x, y). Further, an image may be considered to contain sub-images now and mentioned to as areas of-investment or ROI’s, or basically regions. This idea reflects the way that images as often as possible contain build-ups of items each of which can be the idea for a region. Digital image processing
scheme of the project. This inscription scheme was based on two very important concepts, namely “sampling” and “quantization.” “The idea was to approximate a continuous signal by a series of steps – as if we superimpose the continuous signal by what seems a stairway that goes up and down following the shape of the signal.” Sampling refers the action of choosing those steps while quantization refers to the action of defining the height of each step. This process enabled to approximate continuous signals
I. INTRODUCTION (HEADING 1) Digital signals have transformed the world today, and in few areas is it as prevalent as it is in the music industry. Today’s analog-to-digital converters allow us to accurately store the physical, analog phenomena of sound as digital data, with high fidelity and perfect reproduction quality [1]. Digital audio storage is far more practical than analog audio storage for both the consumer and the professional alike. Digital audio is not vulnerable to noise, unlike analog
thin channel and dielectric insolating layer respectively) which presents it as promising structure for ultimate transistor device.But UTB structure has its disadvantage too like strong coupling effect between front and back interfaces and channel quantization effect. 2. Structure MOSFET : A metal–oxide–semiconductor field-effect transistor (MOSFET) is based on the modulation of charge concentration by a MOS capacitance between a body electrode and a gate electrode located above the body and insulated
matching does not fit human perception very well, and it will cause incorrect ranks for images with similar color distribution [5]. In Ref. [6], Yang et al. presented a color quantization method for dominant color extraction, called the linear block algorithm (LBA), and it has been shown that LBA is efficient in color quantization and computation. For the purpose of effectively retrieving more similar images from the digital image databases (DBs), Lu et al. [7] uses the color distributions, the mean
Image Compression is used to reduce the number of bits required to represent an image or a video sequence. A Compression algorithm takes an input X and generates compressed information that requires fewer bits. The Decompression algorithm reconstructs the compressed information and gives the original. A compression of medical image is an important area of biomedical and telemedicine.In the medical application image study and data compression are quickly developing field with rising applications
HOKLAS technical criteria of method validation: Quantifying arsenic, cadmium, mercury & lead in food Objective: Develop a method validation for quantifying arsenic, cadmium, mercury & lead in food. The standard method is BS EN 15763:2009 and BS EN 13805:2002. The method validation steps follow ISO/IEC 17025:2005 The background information of method validation in ISO 17015: Definition of the method validation From ISO 1702 [1], Validation is the confirmation by examination and the provision of objective
Codec Essay Introduction: This Essay will discuss Codecs; it will explain the definition of codecs and their functions and include a brief history on digital signals, equipment and standards. It will also discuss compression and compression formats such as Lossless and Lossy and files such as FLAC and ALAC History of Codecs: Equipment The history of audio recording first started on 6th December 1877 when Thomas Edison made the very first recording of a human voice singing Mary had a little lamb “on
The beginning student of chemistry must have a knowledge of the theory which forms the basis for our understanding of chemistry and he must acquire this knowledge before he has the mathematical background required for a rigorous course of study in quantum mechanics. The present approach is designed to meet this need by stressing the physical or observable aspects of the theory through an extensive use of the electronic charge density. The manner in which the negative charge of an atom or a molecule
the plane. In Image digitization the function f(x,y) is sampled into a matrix with n columns and m rows. An integer value is assigns to each continuous sample in the image quantization. The continuous range of the image function f(x,y) is split into k intervals. When finer the sampling (i.e. the larger m and n) and quantization (the larger k) the better the approximation of the continuous image function f(x, y). Two questions should be answered in connection with image function sampling: First, the
In recent years, as digital media are achievement wider popularity, their security related issues are suitable superior concern. Digital watermark was first discovering in 1992 by Andrew Tirkel and Charles Osborne. Watermark is derived from the german term “Wessmark. The first watermarks devolved in Italy during the 13th century, but their use apace spread across Europe. Watermarking can be measured as special techniques of steganography where one message is embedded in another and the two messages
Abstract - The main objective of Steganography is to communicate securely in such a way that the true message is not visible to the observer. Depending on the type of the cover object there are many suitable steganographic techniques which are followed in order to obtain security. The seganographic techniques can be classified as audio, video, text, image and network steganography. In this paper we have analyzed various data hiding techniques in encrypted images. Keywords: steganography, data hiding