A surface electromyogram (EMG), especially when recorded near the neuromuscular junction, is expected to contain the endplate potential (EPP) component which can be extracted with an appropriate signal filter. Two factors are important: the EMG must be recorded in monopolar fashion, and the recording must be done so the low frequency signal corresponding the EPP is not eliminated. This report e...

In recent years, still image compression technique plays an important role in many applications such as data transmission and data storage. For speeding up image propagation and reducing image storage efficiently, there are many image compression techniques were proposed. Among them, JPEG2000 is a new generation technique, which can encode images at very low bit-rate with acceptable quality. Be...

Adaptive Filtering is an important concept in the field of signal processing and has numerous applications in fields such as speech processing and communications. An Adaptive filter is a filter that self-adjusts its transfer function according to an optimizing algorithm. Because of the complexity of the optimizing algorithms, most adaptive filters are digital filters that perform digital signal...

Various Adaptive filtering methods are using to filter Cardiac signals. The two basic adaptive filtering algorithms are LMS (Least Mean Square) and RLS (Recursive Least Square). These Adaptive Algorithms are used to filter artifacts from ECG signal. Adaptive filter minimises the mean square error between the primary input, which is ECG with noise and desired response, which is either ECG or noi...

This paper considers the design and properties of two-channel alias-free finite-impulse response (FIR) filter banks where the analysis filters are optimized by using the peak-constrained least squares (PCLS) optimization criterion. All the alias-free twochannel filter banks proposed in the literature are under consideration. For the proposed PCLS designs, the maximum of the stopband energies of...