The Finite Impulse Response (FIR) filters require two main factors known as low complexity and reconfigurability. The FIR filters are widely applied in multistandard wireless communications. The two significant factors that are achieved by proposing two main architectures namely Constant Shift Method (CSM) and Programmable Shift Method (PSM). The major factor of filter complexity is number of a...

A novel method is proposed for realizing exact inverse filtering of acoustic impulse responses in a room. This method is based on the principle called the multiple-inputloutput inverse theorem (MINT). Because a room impulse response generally has nonminimum phases, it has been impossible to realize exact inverse filtering of room acoustics using previously reported methods. However, the exact i...

This thesis involves designing discrete-time filters for modifying the spectrum of audio signals. The main contribution of this research is the significant reduction in the order of the filters. To achieve this, we have combined a technique called frequency transformation, or frequency warping, with an effective Finite Impulse Response (FIR) filter design algorithm. Both techniques exploit some...

Problem statement: Finite Impulse Response (FIR) filters are widely used in various DSP applications. The design of digital FIR filters is a very basic problem in digital signal processing. A FIR filter with multiple operation capability is certainly very useful for any real-time filtering applications. This article presents a multipurpose FIR filter design modeled by the hardware description l...

Adaptive filtering in subbands is an attractive alternative to full-band schemes in many applications because of the potential for faster convergence and lower computational cost. However, the analysis of a signal into a subband representation and the synthesis back into its original full-band form carries three main penalties. These are that 1) the subsampling process often introduces aliasing...

Over the last two decades, FIR filters have been subject of intense research. The design an adder, which is a major building component in circuit design, determines overall performance system. Finite Impulse Response (FIR) filter has increasingly popular signal processing applications recent years. For field and VLSI systems, many adders are implemented. Signal denoising, as well production eff...

High Speed Complex multipliers are the stumbling blocks in programmable finite impulse response (FIR) digital filters. As the filter coefficients change either dynamically or periodically, the search for common sub expressions for multiplier less implementation needs to be performed over the entire gamut of integers of the desired precision, and the amount of shifts associated with each identif...

A method for the design of Peak Constrained Least Squares (PCLS) Finite duration Impulse Response (FIR) digital filters with low complexity Finite Precision Coefficients (FPC) based on Adams’ optimality criterion and an efficient local search is presented. Simple quantization of the infinite precision coefficients typically leads to filter designs which fail to meet the frequency response, Pass...

Myocardial Infarction is a vital disease that needs to be intervened in very short time. The analysis of the patient's electrocardiography (ECG) data has an important place diagnosis. For this reason, computer aided decision support systems have been used recent years order determine more quickly and accurately. In study, classification was made using convolutional neural network algorithms on ...

In general, electrocardiogram (ECG) waveforms are affected by noise and artifacts and it is essential to remove the noise in order to support any decision making for specialist. It is very difficult to remove the noise from 12 channel ECG waveforms using standard noise removal methodologies. Removal of the noise from ECG waveforms is majorly classified into two types in signal processing namely...