Certain investigations on vlsi multipliers for filtering techniques in signal processing applications

Abstract

Digital Signal Processing (DSP) is a branch of electronics and newlinetelecommunication field that mainly focusses on the improvisation of accuracy newlineand scalability of digital communication process using various approaches. DSP newlinesystem is very important in several disciplines like Signal and Image processing, newlineWireless communication, Sensor array processing, Sonar, Radar and Video newlineprocessing. DSP commonly performs linear or non-linear operations based on newlinethe application. Some of the computationally intensive DSP operations are noise newlineremoval, back propagation learning, two-dimensional (2D) transform analysis newlineand synthesis of large datasets. In most of the applications like signal newlineprocessing, filtering is the significant process, in which the noise present in the newlineinput data are removed to enhance the processing accuracy. Because, the newlinetransmitted signal may have unwanted signals or noises and it degrades the entire newlineperformance and provides the undesired output at the receiver. Thus, it is necessary newlineto remove or decrease the noise from the transmitted signal. In DSP applications, newlinethe noise can be removed from the transmitted signal by using the filtering newlineapproaches. Several filtering approaches are developed to remove the noise from newlinethe transmitted signal. newlineDigital filters are important in the noise separation process because they newlineextract the unwanted bits of the signal. It also uses spectral structuring newlinetechniques including signal identification and processing in radar applications, newlineas well as equalization in channels of communication. Adders, Shift registers, newlineand Multipliers are considered as the fundamental building units of digital filter. newlineTo achieve the same transfer function, digital filters can be designed in a variety newlineof architectures. This architecture has a variety of significance in terms newlineof complexity, speed, and power losses. newline