Discrete Wavelet Transform For Compressing And Decompressing The Speech Signal

In order to completely understand the arguments put forth by Basso in his research, it is vital to understand the concept that communication occurs with or without the usage of speech, and in this case through silence. Although the people engaged in this silence are not communicating directly per se, the silence is an acknowledgement of their presence. Interpersonal communication, which occurs face-to-face, employs three main technical components: a code (an

Speech – The act of speaking, verbal communication. The act of expressing or describing thoughts, feelings or ideas by articulate sounds or words.

This unit we covered more specifics about how to implement compression. As part of that, we looked at different methods that can be used and what the benefits of each type would be. For the discussion assignment, I needed to implement Heap’s Law against the output of our programming assignment from last week. We needed to not only get the outcome of implementing the function but also determine how the information we obtained from the result could be applied to our understanding of what the program performed.

Table I displays six solid binary images along with their corresponding compression ratios. On considering Run-Length coding, the alternative encoding scheme produces better performance than the other encoding scheme. On an average, the proposed algorithm performs well on comparison with the standard Huffman coding algorithm by approximately 1.58%.

‘Speech’ is the formation of letters to produce sounds in order to convey feelings, thoughts or ideas. An example could be combining the sounds ‘eye-aa-mm-j-ay-nn’, to form the introductory sentences of ‘I am Jane’. This also includes altering the shape of the mouth

Communication is the basis of our lives and we would in this day and age, be handicapped without it. Everyday we are communicating with each other in some way or another, be it by using words, actions or even expressions in conveying a message.

Verbal/Oral Communication - This type of communication relies on word, visual aids, and nonverbal elements to convey the meaning. Oral communication includes discussion, speeches, presentations, interpersonal communication and many other varieties. In face to face communication, the tone of voice and voice tonality

Depending on the purposes of the speech processing technique, preprocessing could include Noise Removal, Endpoint Detection, Pre-emphasis, Framing, Windowing, etc.

The signal that is being sent is converted into a series of pulses that record information using binary code. For example sound and light starts as analog signals and are then converted into digital sound or light signals using binary coding to convert the sound or light

The encoder is designed in such a way to calculate the power consumption and based on power value the input data is encoded before transmission. The process of encoding can be done before transmitting the data from one processing element to the other processing

The most common method of transmitting information include use of bit strings. It's beyond bounds of possibility to evade errors when data is stored, recovered, operated on or transmitted. The likely source for this errors include electrical interference, noisy communication channels, human error or even equipment error and storing data for a very long time on magnetic tapes.. Important to consider therefore is ensuring liable transmission when large computer files are transmitted very fast or say when data is sent over a very long distance and to recover data that have degraded due to long storage on tapes. For a reliable transmission of data, techniques from coding theory are used. It is done in a such a way

Discrete Wavelet Transform or DWT is technique comprising of important features like localization of space frequency and multi-resolution. There is a great flexibility in DWT for choosing varying window size, bases and the low computational complexity [16]. Here in this work the complex signals are decomposed into sum

C2.25 I calculated fast encoding process using G(X) = [Ik ⋮P]. The size of G(x) is Nbch × Kbch whereas letter “I” was the identity matrix with the size of Kbch × Kbch and P was the redundancy matrix , the size of the matrix was Kbch × (Nbch − Kbch) and Nbch was the length of the binary BCH code.

Abstract -- The JPEG 2000 image compression standard is designed for a broad range of data compression applications. The Discrete Wavelet Transformation (DWT) is central to the signal analysis and is important in JPEG 2000 and is quite susceptible to computer-induced errors. However, advancements in Field Programmable Gate Arrays (FPGAs) provide a new vital option for the efficient implementation of DSP algorithms. The main goal of project is to design multiplier less and high speed digital filters to design DWT. The convolution and lifting based approach posses hardware complexity due to multiplier and long critical paths. The Distributed arithmetic architecture is implemented to achieve multiplier less computation in DWT filtering, it is based on Look-up table approach, which may lead to a reduction of power consumption and the hardware complexity. DA is basically a bit-serial computational operation that forms an inner product of a pair of vectors in a single direct step. To speed up the process the parallel DA is implemented. In the parallel implementation, the input is applied sample by sample in a bit parallel form.

Lossless is a type of compression, when the file is compressed the quality still stays the same when the file is reloaded and all the information will be restored completely. This method of compressing files can be applied to image and text. This method of compression is mostly used for text and